Dacheng Tao

Affiliations:
  • University of Sydney, UBTECH Sydney Artificial Intelligence Centre, Darlington, Australia
  • University of Technology Sydney, Faculty of Engineering and Information Technology, Sydney, Australia


According to our database1, Dacheng Tao authored at least 1,496 papers between 2004 and 2023.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2019, "For contributions to representation learning and its applications".

IEEE Fellow

IEEE Fellow 2015, "For contributions to pattern recognition and visual analytics".

Timeline

Legend:

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Online presence:

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Bibliography

2023
Inter-layer transition in neural architecture search.
Pattern Recognit., November, 2023

Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., October, 2023

Recent Advances for Quantum Neural Networks in Generative Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Transformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection.
Int. J. Comput. Vis., October, 2023

Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Learning Geometric Transformation for Point Cloud Completion.
Int. J. Comput. Vis., September, 2023

Spectral complexity-scaled generalisation bound of complex-valued neural networks.
Artif. Intell., September, 2023

Rethinking Portrait Matting with Privacy Preserving.
Int. J. Comput. Vis., August, 2023

Region-adaptive Concept Aggregation for Few-shot Visual Recognition.
Mach. Intell. Res., August, 2023

WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Trust-Region Adaptive Frequency for Online Continual Learning.
Int. J. Comput. Vis., July, 2023

Multi-target Knowledge Distillation via Student Self-reflection.
Int. J. Comput. Vis., July, 2023

An Optimal Transport Analysis on Generalization in Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Improving Video Instance Segmentation via Temporal Pyramid Routing.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond.
Int. J. Comput. Vis., May, 2023

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications.
IEEE Trans. Knowl. Data Eng., April, 2023

Neurodynamics-driven supervised feature selection.
Pattern Recognit., April, 2023

Hierarchical Prototype Networks for Continual Graph Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Tensorized Bipartite Graph Learning for Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Generalised Watson Distribution on the Hypersphere with Applications to Clustering.
J. Math. Imaging Vis., April, 2023

RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling.
Eng. Appl. Artif. Intell., April, 2023

A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke.
Adv. Intell. Syst., April, 2023

Class-Wise Denoising for Robust Learning Under Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Stochastically Controlled Compositional Gradient for Composition Problems.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Bilinear Graph Networks for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

The Visual Footsteps Planning System for Exoskeleton Robots Under Complex Terrain.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Deep Multiview Collaborative Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2023

Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification.
IEEE Trans. Multim., 2023

Quality-Aware Part Models for Occluded Person Re-Identification.
IEEE Trans. Multim., 2023

Fusion of Global and Local Knowledge for Personalized Federated Learning.
Trans. Mach. Learn. Res., 2023

DCN-T: Dual Context Network With Transformer for Hyperspectral Image Classification.
IEEE Trans. Image Process., 2023

VTAE: Variational Transformer Autoencoder With Manifolds Learning.
IEEE Trans. Image Process., 2023

Learning to Purification for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2023

SIR: Self-Supervised Image Rectification via Seeing the Same Scene From Multiple Different Lenses.
IEEE Trans. Image Process., 2023

CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation.
IEEE Trans. Image Process., 2023

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model.
IEEE Trans. Geosci. Remote. Sens., 2023

An Empirical Study of Remote Sensing Pretraining.
IEEE Trans. Geosci. Remote. Sens., 2023

Fluid Micelle Network for Image Super-Resolution Reconstruction.
IEEE Trans. Cybern., 2023

Regionwise Generative Adversarial Image Inpainting for Large Missing Areas.
IEEE Trans. Cybern., 2023

Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey on Vision Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

The <i>L</i><sub>2</sub> convergence of stream data mining algorithms based on probabilistic neural networks.
Inf. Sci., 2023

Visual Superordinate Abstraction for Robust Concept Learning.
Int. J. Autom. Comput., 2023

Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects.
CoRR, 2023

CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation.
CoRR, 2023

Are Large Language Models Really Robust to Word-Level Perturbations?
CoRR, 2023

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.
CoRR, 2023

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.
CoRR, 2023

Temporal Action Localization with Enhanced Instant Discriminability.
CoRR, 2023

RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model.
CoRR, 2023

DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation.
CoRR, 2023

Continual Learning From a Stream of APIs.
CoRR, 2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation.
CoRR, 2023

MerA: Merging Pretrained Adapters For Few-Shot Learning.
CoRR, 2023

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models.
CoRR, 2023

ShadowNet for Data-Centric Quantum System Learning.
CoRR, 2023

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent.
CoRR, 2023

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.
CoRR, 2023

Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction.
CoRR, 2023

Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation.
CoRR, 2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.
CoRR, 2023

Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup.
CoRR, 2023

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions.
CoRR, 2023

Understanding Deep Neural Networks via Linear Separability of Hidden Layers.
CoRR, 2023

Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach.
CoRR, 2023

Heterogeneous Federated Learning: State-of-the-art and Research Challenges.
CoRR, 2023

Image Captions are Natural Prompts for Text-to-Image Models.
CoRR, 2023

Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer.
CoRR, 2023

GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction.
CoRR, 2023

Towards Open Vocabulary Learning: A Survey.
CoRR, 2023

FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes.
CoRR, 2023

Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization.
CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR, 2023

Human-imperceptible, Machine-recognizable Images.
CoRR, 2023

Transition role of entangled data in quantum machine learning.
CoRR, 2023

Towards Arbitrarily Expressive GNNs in O(n<sup>2</sup>) Space by Rethinking Folklore Weisfeiler-Lehman.
CoRR, 2023

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.
CoRR, 2023

MotionTrack: Learning Motion Predictor for Multiple Object Tracking.
CoRR, 2023

Collect-and-Distribute Transformer for 3D Point Cloud Analysis.
CoRR, 2023

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation.
CoRR, 2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
CoRR, 2023

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.
CoRR, 2023

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation.
CoRR, 2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.
CoRR, 2023

Improving Heterogeneous Model Reuse by Density Estimation.
CoRR, 2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
CoRR, 2023

VanillaNet: the Power of Minimalism in Deep Learning.
CoRR, 2023

Prompt-Tuning Decision Transformer with Preference Ranking.
CoRR, 2023

MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis.
CoRR, 2023

Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model.
CoRR, 2023

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey.
CoRR, 2023

Scalable Mask Annotation for Video Text Spotting.
CoRR, 2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.
CoRR, 2023

Compositional 3D Human-Object Neural Animation.
CoRR, 2023

HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search.
CoRR, 2023

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities.
CoRR, 2023

Event-based Simultaneous Localization and Mapping: A Comprehensive Survey.
CoRR, 2023

UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing.
CoRR, 2023

Deep Image Matting: A Comprehensive Survey.
CoRR, 2023

On Efficient Training of Large-Scale Deep Learning Models: A Literature Review.
CoRR, 2023

Quantum Imitation Learning.
CoRR, 2023

BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection.
CoRR, 2023

Vision Transformer with Quadrangle Attention.
CoRR, 2023

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT.
CoRR, 2023

Towards Making the Most of ChatGPT for Machine Translation.
CoRR, 2023

Deep Learning for Camera Calibration and Beyond: A Survey.
CoRR, 2023

Visual Prompt Based Personalized Federated Learning.
CoRR, 2023

Sensitivity-Aware Visual Parameter-Efficient Tuning.
CoRR, 2023

TriDet: Temporal Action Detection with Relative Boundary Modeling.
CoRR, 2023

DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration.
CoRR, 2023

Centroid-centered Modeling for Efficient Vision Transformer Pre-training.
CoRR, 2023

Graph Decision Transformer.
CoRR, 2023

Time Associated Meta Learning for Clinical Prediction.
CoRR, 2023

ESceme: Vision-and-Language Navigation with Episodic Scene Memory.
CoRR, 2023

AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.
CoRR, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR, 2023

Subspace based Federated Unlearning.
CoRR, 2023

Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT.
CoRR, 2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning.
CoRR, 2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR, 2023

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.
CoRR, 2023

FedABC: Targeting Fair Competition in Personalized Federated Learning.
CoRR, 2023

Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.
CoRR, 2023

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis.
CoRR, 2023

AniPixel: Towards Animatable Pixel-Aligned Human Avatar.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
CoRR, 2023

SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.
CoRR, 2023

Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms.
CoRR, 2023

A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends.
CoRR, 2023

A Comprehensive Survey to Dataset Distillation.
CoRR, 2023

Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification.
CoRR, 2023

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
CoRR, 2023



X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection.
Proceedings of the 32nd USENIX Security Symposium, 2023

Domain-Specific Risk Minimization for Domain Generalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Improving Heterogeneous Model Reuse by Density Estimation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Off-policy Imitation Learning from Visual Inputs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent.
Proceedings of the International Conference on Machine Learning, 2023

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape.
Proceedings of the International Conference on Machine Learning, 2023

Improving the Model Consistency of Decentralized Federated Learning.
Proceedings of the International Conference on Machine Learning, 2023

Structured Cooperative Learning with Graphical Model Priors.
Proceedings of the International Conference on Machine Learning, 2023

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2023

Tilted Sparse Additive Models.
Proceedings of the International Conference on Machine Learning, 2023

Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Symmetric Pruning in Quantum Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Alternating Differentiation for Optimization Layers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unified Discrete Diffusion for Simultaneous Vision-Language Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generating Holistic 3D Human Motion from Speech.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learnable Skeleton-Aware 3D Point Cloud Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TriDet: Temporal Action Detection with Relative Boundary Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Make Landscape Flatter in Differentially Private Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Upcycling Models Under Domain and Category Shift.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leverage Interactive Affinity for Affordance Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Referring Image Matting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Graph Reprogramming.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Focus-aware Positional Queries for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Generalize Provably in Learning to Optimize.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Self-Evolution Learning for Discriminative Language Model Pretraining.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PAD-Net: An Efficient Framework for Dynamic Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TransGEC: Improving Grammatical Error Correction with Translationese.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CASN: Class-Aware Score Network for Textual Adversarial Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ContraFeat: Contrasting Deep Features for Semantic Discovery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FedABC: Targeting Fair Competition in Personalized Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning to Learn Better for Video Object Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Improving Simultaneous Machine Translation with Monolingual Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Offline Quantum Reinforcement Learning in a Conservative Manner.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series.
IEEE Trans. Netw. Sci. Eng., 2022

On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2022

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation.
Trans. Mach. Learn. Res., 2022

Quantum Differentially Private Sparse Regression Learning.
IEEE Trans. Inf. Theory, 2022

Object-Agnostic Transformers for Video Referring Segmentation.
IEEE Trans. Image Process., 2022

DUT: Learning Video Stabilization by Simply Watching Unstable Videos.
IEEE Trans. Image Process., 2022

Robust Object Detection via Adversarial Novel Style Exploration.
IEEE Trans. Image Process., 2022

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search.
IEEE Trans. Image Process., 2022

CartoonLossGAN: Learning Surface and Coloring of Images for Cartoonization.
IEEE Trans. Image Process., 2022

Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning.
IEEE Trans. Image Process., 2022

Gait Phase Classification for a Lower Limb Exoskeleton System Based on a Graph Convolutional Network Model.
IEEE Trans. Ind. Electron., 2022

Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Efficient Unsupervised Dimension Reduction for Streaming Multiview Data.
IEEE Trans. Cybern., 2022

Incremental Zero-Shot Learning.
IEEE Trans. Cybern., 2022

Laplacian Welsch Regularization for Robust Semisupervised Learning.
IEEE Trans. Cybern., 2022

Visual Relationship Detection: A Survey.
IEEE Trans. Cybern., 2022

Multibranch Adversarial Regression for Domain Adaptative Hand Pose Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Global-Local Interplay in Semantic Alignment for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Exposure Trajectory Recovery From Motion Blur.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Heatmap Regression via Randomized Rounding.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

End2End Occluded Face Recognition by Masking Corrupted Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Variance Reduced Methods for Non-Convex Composition Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Fast Class-Wise Updating for Online Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Versatile Convolution Filters for Efficient Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Optimizing Latent Distributions for Non-Adversarial Generative Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

GAN-MDF: An Enabling Method for Multifidelity Data Fusion.
IEEE Internet Things J., 2022

FogChain: A Blockchain-Based Peer-to-Peer Solar Power Trading System Powered by Fog AI.
IEEE Internet Things J., 2022

A Unified B-Spline Framework for Scale-Invariant Keypoint Detection.
Int. J. Comput. Vis., 2022

Information-Theoretic Odometry Learning.
Int. J. Comput. Vis., 2022

One-Shot Object Affordance Detection in the Wild.
Int. J. Comput. Vis., 2022

CODON: On Orchestrating Cross-Domain Attentions for Depth Super-Resolution.
Int. J. Comput. Vis., 2022

Semantic Edge Detection with Diverse Deep Supervision.
Int. J. Comput. Vis., 2022

Bridging Composite and Real: Towards End-to-End Deep Image Matting.
Int. J. Comput. Vis., 2022

Wide-Angle Image Rectification: A Survey.
Int. J. Comput. Vis., 2022

I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection.
Int. J. Comput. Vis., 2022

Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022

On Transforming Reinforcement Learning by Transformer: The Development Trajectory.
CoRR, 2022

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models.
CoRR, 2022

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation.
CoRR, 2022

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis.
CoRR, 2022

Localizing Scan Targets from Human Pose for Autonomous Lung Ultrasound Imaging.
CoRR, 2022

ContraFeat: Contrasting Deep Features for Semantic Discovery.
CoRR, 2022

Diff-Font: Diffusion Model for Robust One-Shot Font Generation.
CoRR, 2022

ViTPose+: Vision Transformer Foundation Model for Generic Body Pose Estimation.
CoRR, 2022

Learning to Learn Better for Video Object Segmentation.
CoRR, 2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR, 2022

Improving Simultaneous Machine Translation with Monolingual Data.
CoRR, 2022

AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data.
CoRR, 2022

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models.
CoRR, 2022

Responsible Active Learning via Human-in-the-loop Peer Study.
CoRR, 2022

Knowledge-Aware Federated Active Learning with Non-IID Data.
CoRR, 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

SLLEN: Semantic-aware Low-light Image Enhancement Network.
CoRR, 2022

Cross-Modal Contrastive Learning for Robust Reasoning in VQA.
CoRR, 2022

Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis.
CoRR, 2022

DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting.
CoRR, 2022

Unifying Flow, Stereo and Depth Estimation.
CoRR, 2022

Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks.
CoRR, 2022

Rethinking Hierarchies in Pre-trained Plain Vision Transformer.
CoRR, 2022

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations.
CoRR, 2022

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.
CoRR, 2022

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.
CoRR, 2022

Exploring the Relationship between Architecture and Adversarially Robust Generalization.
CoRR, 2022

Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction.
CoRR, 2022

Towards Robust Referring Image Segmentation.
CoRR, 2022

Vega-MT: The JD Explore Academy Translation System for WMT22.
CoRR, 2022

On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation.
CoRR, 2022

Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition.
CoRR, 2022

Super-model ecosystem: A domain-adaptation perspective.
CoRR, 2022

Grounded Affordance from Exocentric View.
CoRR, 2022

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.
CoRR, 2022

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection.
CoRR, 2022

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation.
CoRR, 2022

Domain-Specific Risk Minimization.
CoRR, 2022

Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model.
CoRR, 2022

Transformer-based Context Condensation for Boosting Feature Pyramids in Object Detection.
CoRR, 2022

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow.
CoRR, 2022

Dynamic Contrastive Distillation for Image-Text Retrieval.
CoRR, 2022

PromptPose: Language Prompt Helps Animal Pose Estimation.
CoRR, 2022

Variational Distillation for Multi-View Learning.
CoRR, 2022

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm.
CoRR, 2022

Boosting Factorization Machines via Saliency-Guided Mixup.
CoRR, 2022

Toward Real-world Single Image Deraining: A New Benchmark and Beyond.
CoRR, 2022

Referring Image Matting.
CoRR, 2022

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning.
CoRR, 2022

Understanding deep learning via decision boundary.
CoRR, 2022

Parameter-Efficient and Student-Friendly Knowledge Distillation.
CoRR, 2022

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation.
CoRR, 2022

Multi-Task Learning with Multi-query Transformer for Dense Prediction.
CoRR, 2022

Mapping Emulation for Knowledge Distillation.
CoRR, 2022

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search.
CoRR, 2022

Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method.
CoRR, 2022

Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy.
CoRR, 2022

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.
CoRR, 2022

Neural Maximum A Posteriori Estimation on Unpaired Data for Motion Deblurring.
CoRR, 2022

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.
CoRR, 2022

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.
CoRR, 2022

BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning.
CoRR, 2022

Dynamic Focus-aware Positional Queries for Semantic Segmentation.
CoRR, 2022

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning.
CoRR, 2022

Gaussian initializations help deep variational quantum circuits escape from the barren plateau.
CoRR, 2022

Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
CoRR, 2022

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation.
CoRR, 2022

Hyper-relationship Learning Network for Scene Graph Generation.
CoRR, 2022

Achieving Personalized Federated Learning with Sparse Local Models.
CoRR, 2022

Improving Neural Machine Translation by Denoising Training.
CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.
Proceedings of the Seventh Conference on Machine Translation, 2022

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits.
NeurIPS, 2022

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking.
NeurIPS, 2022

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.
NeurIPS, 2022

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
NeurIPS, 2022

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.
NeurIPS, 2022

Benefits of Permutation-Equivariance in Auction Mechanisms.
NeurIPS, 2022

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach.
NeurIPS, 2022

CGLB: Benchmark Tasks for Continual Graph Learning.
NeurIPS, 2022

Robust Metric Boosts Transfer.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Penalized Proximal Policy Optimization for Safe Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Survey on Gradient Inversion: Attacks, Defenses and Future Directions.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Topology-aware Generalization of Decentralized SGD.
Proceedings of the International Conference on Machine Learning, 2022

Identity-Disentangled Adversarial Augmentation for Self-supervised Learning.
Proceedings of the International Conference on Machine Learning, 2022

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training.
Proceedings of the International Conference on Machine Learning, 2022

Rethinking Class-Prior Estimation for Positive-Unlabeled Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Huber Additive Models for Non-stationary Time Series Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

FP-DETR: Detection Transformer Advanced by Fully Pre-training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Knowledge Removal in Sampling-based Bayesian Inference.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Sparsified Subgraph Memory for Continual Graph Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics.
Proceedings of the Computer Vision - ECCV 2022, 2022

VSA: Learning Varied-Size Window Attention in Vision Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Data-Efficient Detection Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Online Continual Learning with Contrastive Vision Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

ReAct: Temporal Action Detection with Relational Queries.
Proceedings of the Computer Vision - ECCV 2022, 2022

BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Graph Neural Networks for Image Style Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Discovering Human-Object Interaction Concepts via Self-Compositional Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Modeling Image Composition for Complex Scene Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GMFlow: Learning Optical Flow via Global Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Defensive Patches for Robust Recognition in the Physical World.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Boundary Learning for Point Cloud Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Patch Slimming for Efficient Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Distillation Using Oracle Queries for Transformer-based Human-Object Interaction Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Affordance Grounding from Exocentric Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RU-Net: Regularized Unrolling Network for Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HL-Net: Heterophily Learning Network for Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Collaborate in Decentralized Learning of Personalized Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-shot Backdoor Defense Using Shapley Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Source-Free Domain Adaptation via Distribution Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Recurrent Glimpse-based Decoder for Detection with Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning with Lifelong Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bridged Transformer for Vision and Point Cloud 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Heterogeneous Multi-commodity Network Flows over Time.
Proceedings of the Computer Science - Theory and Applications, 2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Attentive Cascaded Pyramid Network for Online Video Stabilization.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Harnessing Perceptual Adversarial Patches for Crowd Counting.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Continual Learning through Retrieval and Imagination.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Vision-Assisted Autonomous Lower-Limb Exoskeleton Robot.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Introduction to Big Multimodal Multimedia Data with Deep Analytics.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming.
IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Kernelized Multiview Self-Representation for Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Cascaded Correlation Refinement for Robust Deep Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Student Networks via Feature Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2021

Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method.
IEEE Trans. Multim., 2021

Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks.
IEEE Trans. Multim., 2021

Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network.
IEEE Trans. Medical Imaging, 2021

Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss.
IEEE Trans. Medical Imaging, 2021

A Survey on Canonical Correlation Analysis.
IEEE Trans. Knowl. Data Eng., 2021

Joint Deep Multi-View Learning for Image Clustering.
IEEE Trans. Knowl. Data Eng., 2021

Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning.
IEEE Trans. Knowl. Data Eng., 2021

Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Adaptive Context-Aware Multi-Modal Network for Depth Completion.
IEEE Trans. Image Process., 2021

Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.
IEEE Trans. Image Process., 2021

Multi-Sentence Auxiliary Adversarial Networks for Fine-Grained Text-to-Image Synthesis.
IEEE Trans. Image Process., 2021

Batch Coherence-Driven Network for Part-Aware Person Re-Identification.
IEEE Trans. Image Process., 2021

Training Robust Deep Neural Networks via Adversarial Noise Propagation.
IEEE Trans. Image Process., 2021

IDRLP: Image Dehazing Using Region Line Prior.
IEEE Trans. Image Process., 2021

Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.
IEEE Trans. Image Process., 2021

Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation.
IEEE Trans. Image Process., 2021

Open-Set Hypothesis Transfer With Semantic Consistency.
IEEE Trans. Image Process., 2021

A Human-Like Dual-Forklift Collaborative Mechanism for Container Handling.
IEEE Trans. Ind. Electron., 2021

SPRNet: Single-Pixel Reconstruction for One-Stage Instance Segmentation.
IEEE Trans. Cybern., 2021

Toward Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs.
IEEE Trans. Cybern., 2021

Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation.
IEEE Trans. Cybern., 2021

Towards understanding the power of quantum kernels in the NISQ era.
Quantum, 2021

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Orthogonal Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Enhanced Tensor RPCA and its Application.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data.
NeuroImage, 2021

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.
Neural Comput., 2021

A novel method for speed training acceleration of recurrent neural networks.
Inf. Sci., 2021

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things.
IEEE Internet Things J., 2021

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.
IEEE Internet Things J., 2021

Terra: A Smart and Sensible Digital Twin Framework for Robust Robot Deployment in Challenging Environments.
IEEE Internet Things J., 2021

Learning semantic priors for texture-realistic sketch-to-image synthesis.
Neurocomputing, 2021

Polysemy Deciphering Network for Robust Human-Object Interaction Detection.
Int. J. Comput. Vis., 2021

Towards High Performance Human Keypoint Detection.
Int. J. Comput. Vis., 2021

Knowledge Distillation: A Survey.
Int. J. Comput. Vis., 2021

3D-FUTURE: 3D Furniture Shape with TextURE.
Int. J. Comput. Vis., 2021

Recursive Context Routing for Object Detection.
Int. J. Comput. Vis., 2021

A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection.
Int. J. Comput. Vis., 2021

Guest Editorial for Special Issue on Cognitive Computing for Collaborative Robotics.
IEEE CAA J. Autom. Sinica, 2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.
CoRR, 2021

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only.
CoRR, 2021

Self-Ensembling GAN for Cross-Domain Semantic Segmentation.
CoRR, 2021

DGL-GAN: Discriminator Guided Learning for GAN Compression.
CoRR, 2021

Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer.
CoRR, 2021

Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks.
CoRR, 2021

RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
CoRR, 2021

Pruning Self-attentions into Convolutional Layers in Single Path.
CoRR, 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.
CoRR, 2021

Semantic-Preserving Adversarial Text Attacks.
CoRR, 2021

Structure-Aware Feature Generation for Zero-Shot Learning.
CoRR, 2021

Effective and Efficient Graph Learning for Multi-view Clustering.
CoRR, 2021

Learning Visual Affordance Grounding from Demonstration Videos.
CoRR, 2021

Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification.
CoRR, 2021

The USYD-JD Speech Translation System for IWSLT 2021.
CoRR, 2021

Efficient Vision Transformers via Fine-Grained Manifold Distillation.
CoRR, 2021

On exploring practical potentials of quantum auto-encoder with advantages.
CoRR, 2021

GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins.
CoRR, 2021

Accelerating variational quantum algorithms with multiple quantum processors.
CoRR, 2021

Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems.
CoRR, 2021

The dilemma of quantum neural networks.
CoRR, 2021

End-to-end One-shot Human Parsing.
CoRR, 2021

Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding.
CoRR, 2021

Learning Compositional Representation for Few-shot Visual Question Answering.
CoRR, 2021

CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation.
CoRR, 2021

SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning.
CoRR, 2021

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence.
CoRR, 2021

Collaborative Teacher-Student Learning via Multiple Knowledge Transfer.
CoRR, 2021

CAA : Channelized Axial Attention for Semantic Segmentation.
CoRR, 2021

Bayesian Inference Forgetting.
CoRR, 2021

Neural networks behave as hash encoders: An empirical study.
CoRR, 2021

Unpaired data empowers association tests.
Bioinform., 2021

Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

AP-10K: A Benchmark for Animal Pose Estimation in the Wild.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Class-Disentanglement and Applications in Adversarial Detection and Defense.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gauge Equivariant Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Question Answering System for Unstructured Table Images.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Privacy-Preserving Portrait Matting.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

The USYD-JD Speech Translation System for IWSLT2021.
Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Person Image Synthesis in Arbitrary 3D Poses Based on Part Affinity Fields.
Proceedings of the International Joint Conference on Neural Networks, 2021

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

One-Shot Affordance Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep Automatic Natural Image Matting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Comprehensive Survey on Image Dehazing Based on Deep Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Commutative Lie Group VAE for Disentanglement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Improving Lexical Choice in Non-Autoregressive Translation.
Proceedings of the 9th International Conference on Learning Representations, 2021

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SynFace: Face Recognition with Synthetic Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Curriculum Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Neural Machine Translation by Bidirectional Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Where and What? Examining Interpretable Disentangled Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Progressive Point Embeddings for 3D Point Cloud Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Manifold Regularized Dynamic Network Pruning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Tree-Like Decision Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdderSR: Towards Energy Efficient Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scene Essence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Amalgamating Knowledge From Heterogeneous Graph Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Human-Object Interaction via Fabricated Compositional Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Affordance Transfer Learning for Human-Object Interaction Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Online Multiple Object Tracking With Cross-Task Synergy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Progressive Multi-Granularity Training for Non-Autoregressive Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-label Few-shot Learning with Semantic Inference (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Progressive One-shot Human Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Harnessing Side Information for Classification Under Label Noise.
IEEE Trans. Neural Networks Learn. Syst., 2020

Distributed Complementary Binary Quantization for Joint Hash Table Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

LogDet Metric-Based Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Iterative Privileged Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Why ResNet Works? Residuals Generalize.
IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Student Network Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search.
IEEE Trans. Neural Networks Learn. Syst., 2020

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.
IEEE Trans. Knowl. Data Eng., 2020

On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification.
IEEE Trans. Knowl. Data Eng., 2020

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications.
IEEE Trans. Inf. Theory, 2020

One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation.
IEEE Trans. Image Process., 2020

Principal Component Adversarial Example.
IEEE Trans. Image Process., 2020

FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing Network.
IEEE Trans. Image Process., 2020

Compositional Attention Networks With Two-Stream Fusion for Video Question Answering.
IEEE Trans. Image Process., 2020

Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance.
IEEE Trans. Image Process., 2020

Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval.
IEEE Trans. Image Process., 2020

Receptive Field Size Versus Model Depth for Single Image Super-Resolution.
IEEE Trans. Image Process., 2020

CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-Identification.
IEEE Trans. Image Process., 2020

Siamese Local and Global Networks for Robust Face Tracking.
IEEE Trans. Image Process., 2020

Multistage GAN for Fabric Defect Detection.
IEEE Trans. Image Process., 2020

Homologous Component Analysis for Domain Adaptation.
IEEE Trans. Image Process., 2020

3D Skeletal Gesture Recognition via Hidden States Exploration.
IEEE Trans. Image Process., 2020

ASTS: A Unified Framework for Arbitrary Shape Text Spotting.
IEEE Trans. Image Process., 2020

An Underwater Image Enhancement Benchmark Dataset and Beyond.
IEEE Trans. Image Process., 2020

Distilling Channels for Efficient Deep Tracking.
IEEE Trans. Image Process., 2020

Progressive Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Image Process., 2020

Long-Term Video Prediction via Criticization and Retrospection.
IEEE Trans. Image Process., 2020

Adversarial Examples for Hamming Space Search.
IEEE Trans. Cybern., 2020

Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning.
IEEE Trans. Cybern., 2020

Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning.
IEEE Trans. Cybern., 2020

Motion-Aware Rapid Video Saliency Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Self-Supervised Pose Adaptation for Cross-Domain Image Animation.
IEEE Trans. Artif. Intell., 2020

Generalized Latent Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Variational approach for privacy funnel optimization on continuous data.
J. Parallel Distributed Comput., 2020

Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning.
IEEE Internet Things J., 2020

Multi-task Compositional Network for Visual Relationship Detection.
Int. J. Comput. Vis., 2020

Semi-online Multi-people Tracking by Re-identification.
Int. J. Comput. Vis., 2020

Big Cross-Modal Social Media Data Analytics With Deep Intelligence.
IEEE Multim., 2020

Robustness, Privacy, and Generalization of Adversarial Training.
CoRR, 2020

Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing.
CoRR, 2020

A Survey on Visual Transformer.
CoRR, 2020

Recent advances in deep learning theory.
CoRR, 2020

Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization.
CoRR, 2020

Recent Progress in Appearance-based Action Recognition.
CoRR, 2020

Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model.
CoRR, 2020

End-to-end Animal Image Matting.
CoRR, 2020

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers.
CoRR, 2020

Experimental Quantum Generative Adversarial Networks for Image Generation.
CoRR, 2020

Self-supervised Exposure Trajectory Recovery for Dynamic Blur Estimation.
CoRR, 2020

Quantum Geometric Machine Learning for Quantum Circuits and Control.
CoRR, 2020

Parts-dependent Label Noise: Towards Instance-dependent Label Noise.
CoRR, 2020

Condensing Two-stage Detection with Automatic Object Key Part Discovery.
CoRR, 2020

DC-NAS: Divide-and-Conquer Neural Architecture Search.
CoRR, 2020

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.
CoRR, 2020

Adversarial Attacks for Embodied Agents.
CoRR, 2020

Repulsive Mixture Models of Exponential Family PCA for Clustering.
CoRR, 2020

Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach.
CoRR, 2020

Quantum noise protects quantum classifiers against adversaries.
CoRR, 2020

Towards Mixture Proportion Estimation without Irreducibility.
CoRR, 2020

Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20).
CoRR, 2020

xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes].
IEEE Comput. Intell. Mag., 2020

Robust learning with imperfect privileged information.
Artif. Intell., 2020

Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing.
IEEE Access, 2020

How Deep Learning Works for Information Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Domain Generalization via Entropy Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Video Frame Interpolation without Temporal Priors.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Searching for Low-Bit Weights in Quantized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Part-dependent Label Noise: Towards Instance-dependent Label Noise.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SCOP: Scientific Control for Reliable Neural Network Pruning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Auto Learning Attention.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Nighttime Dehazing with a Synthetic Benchmark.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Multimodal Neural Architecture Search.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Boundary-Assisted Region Proposal Networks for Nucleus Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Label-Noise Robust Domain Adaptation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Streaming Label Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

LTF: A Label Transformation Framework for Correcting Label Shift.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning with Bounded Instance and Label-dependent Label Noise.
Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding Generalization in Recurrent Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Piecewise linear activations substantially shape the loss surfaces of neural networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Explainable Cluster-Based Rules Generation for Image Retrieval and Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Pretrained Language Models for Dialogue Generation with Multiple Input Sources.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning Disentangled Representations with Latent Variation Predictability.
Proceedings of the Computer Vision - ECCV 2020, 2020

Polysemy Deciphering Network for Human-Object Interaction Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

On Dropping Clusters to Regularize Graph Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Propagation Rules for Attribution Map Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Hallucinating Visual Instances in Total Absentia.
Proceedings of the Computer Vision - ECCV 2020, 2020

Spatiotemporal Attacks for Embodied Agents.
Proceedings of the Computer Vision - ECCV 2020, 2020

Short-Term and Long-Term Context Aggregation Network for Video Inpainting.
Proceedings of the Computer Vision - ECCV 2020, 2020

Visual Compositional Learning for Human-Object Interaction Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Symbiotic Adversarial Learning for Attribute-Based Person Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Oracle Attention for High-Fidelity Face Completion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Syntax-Aware Action Targeting for Video Captioning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Distilling Knowledge From Graph Convolutional Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Unseen Concepts via Hierarchical Decomposition and Composition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GPS-Net: Graph Property Sensing Network for Scene Graph Generation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Recurrent Feature Reasoning for Image Inpainting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Positive-Unlabeled Classification in GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context Aware Graph Convolution for Skeleton-Based Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context-Aware Cross-Attention for Non-Autoregressive Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Self-Attention with Cross-Lingual Position Representation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Diversified Bayesian Nonnegative Matrix Factorization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis.
BMC Bioinform., December, 2019

Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension.
IEEE Trans. Neural Networks Learn. Syst., 2019

Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space.
IEEE Trans. Neural Networks Learn. Syst., 2019

Dualityfree Methods for Stochastic Composition Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Robust Subspace Clustering by Cauchy Loss Function.
IEEE Trans. Neural Networks Learn. Syst., 2019

Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst., 2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multim., 2019

ROMIR: Robust Multi-View Image Re-Ranking.
IEEE Trans. Knowl. Data Eng., 2019

Multi-Modal Curriculum Learning over Graphs.
ACM Trans. Intell. Syst. Technol., 2019

Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics.
ACM Trans. Intell. Syst. Technol., 2019

Trajectory Data Classification: A Review.
ACM Trans. Intell. Syst. Technol., 2019

Dual-Transfer Face Sketch-Photo Synthesis.
IEEE Trans. Image Process., 2019

Anchor Cascade for Efficient Face Detection.
IEEE Trans. Image Process., 2019

Benchmarking Single-Image Dehazing and Beyond.
IEEE Trans. Image Process., 2019

Correntropy-Induced Robust Low-Rank Hypergraph.
IEEE Trans. Image Process., 2019

Context-Aware Mouse Behavior Recognition Using Hidden Markov Models.
IEEE Trans. Image Process., 2019

Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers.
IEEE Trans. Image Process., 2019

State-Aware Anti-Drift Object Tracking.
IEEE Trans. Image Process., 2019

Unsupervised Semantic-Preserving Adversarial Hashing for Image Search.
IEEE Trans. Image Process., 2019

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer.
IEEE Trans. Image Process., 2019

Image Recognition by Predicted User Click Feature With Multidomain Multitask Transfer Deep Network.
IEEE Trans. Image Process., 2019

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

The Double-Accelerated Stochastic Method for Regularized Empirical Risk Minimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Evolutionary Generative Adversarial Networks.
IEEE Trans. Evol. Comput., 2019

Bi-Phase Evolutionary Searching for Biclusters in Gene Expression Data.
IEEE Trans. Evol. Comput., 2019

A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation.
IEEE Trans. Cybern., 2019

Multiobject Tracking by Submodular Optimization.
IEEE Trans. Cybern., 2019

Adapting Stochastic Block Models to Power-Law Degree Distributions.
IEEE Trans. Cybern., 2019

Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image.
IEEE Trans. Cybern., 2019

Ensemble Teaching for Hybrid Label Propagation.
IEEE Trans. Cybern., 2019

Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion.
IEEE Trans. Cybern., 2019

Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling.
IEEE Trans. Circuits Syst. Video Technol., 2019

Multi-view common component discriminant analysis for cross-view classification.
Pattern Recognit., 2019

Packing Convolutional Neural Networks in the Frequency Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Truncated Cauchy Non-Negative Matrix Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Toward efficient indexing structure for scalable content-based music retrieval.
Multim. Syst., 2019

Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications.
IEEE J. Sel. Areas Commun., 2019

Hyperspectral image unsupervised classification by robust manifold matrix factorization.
Inf. Sci., 2019

Balance control of a biped robot on a rotating platform based on efficient reinforcement learning.
IEEE CAA J. Autom. Sinica, 2019

Progressive LiDAR adaptation for road detection.
IEEE CAA J. Autom. Sinica, 2019

Classification with label noise: a Markov chain sampling framework.
Data Min. Knowl. Discov., 2019

Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks.
CoRR, 2019

An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation.
CoRR, 2019

All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning.
CoRR, 2019

Human Keypoint Detection by Progressive Context Refinement.
CoRR, 2019

On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications.
CoRR, 2019

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas.
CoRR, 2019

Quantum algorithm for finding the negative curvature direction in non-convex optimization.
CoRR, 2019

Investigation of wind pressures on tall building under interference effects using machine learning techniques.
CoRR, 2019

Recurrent Graph Syntax Encoder for Neural Machine Translation.
CoRR, 2019

Multimodal Unified Attention Networks for Vision-and-Language Interactions.
CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.
CoRR, 2019

Graph Reasoning Networks for Visual Question Answering.
CoRR, 2019

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach.
CoRR, 2019

A Quantum-inspired Algorithm for General Minimum Conical Hull Problems.
CoRR, 2019

CDPM: Convolutional Deformable Part Models for Person Re-identification.
CoRR, 2019

Soft-ranking Label Encoding for Robust Facial Age Estimation.
CoRR, 2019

Segmentation-Aware Image Denoising without Knowing True Segmentation.
CoRR, 2019

Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts.
CoRR, 2019

A Distributed Approach towards Discriminative Distance Metric Learning.
CoRR, 2019

Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications.
CoRR, 2019

Single Pixel Reconstruction for One-stage Instance Segmentation.
CoRR, 2019

Heterogeneous Multi-task Metric Learning across Multiple Domains.
CoRR, 2019

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification.
CoRR, 2019

Multi-View Matrix Completion for Multi-Label Image Classification.
CoRR, 2019

On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning.
CoRR, 2019

Fully-Featured Attribute Transfer.
CoRR, 2019

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data.
IEEE Access, 2019

The University of Sydney's Machine Translation System for WMT19.
Proceedings of the Fourth Conference on Machine Translation, 2019

Hidden States Exploration for 3D Skeleton-Based Gesture Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Positive-Unlabeled Compression on the Cloud.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Theoretical Analysis of Adversarial Learning: A Minimax Approach.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning from Bad Data via Generation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Likelihood-Free Overcomplete ICA and Applications In Causal Discovery.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Using Privileged Information for Food Recognition.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

SPAGAN: Shortest Path Graph Attention Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Building Effective Short Video Recommendation.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

ReS2TIM: Reconstruct Syntactic Structures from Table Images.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Approximated Bilinear Modules for Temporal Modeling.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Metric Learning With Tuplet Margin Loss.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Progressive Reconstruction of Visual Structure for Image Inpainting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Representation Learning From Multi-Domain Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

On Exploring Undetermined Relationships for Visual Relationship Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Modular Co-Attention Networks for Visual Question Answering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

World From Blur.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MirrorGAN: Learning Text-To-Image Generation by Redescription.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Fast Spatio-Temporal Residual Network for Video Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Image-Question-Answer Synergistic Network for Visual Dialog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Supervised Representation Learning by Rotation Feature Decoupling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Two-Stage Cascaded U-Net: 1st Place Solution to BraTS Challenge 2019 Segmentation Task.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Perceptual-Sensitive GAN for Generating Adversarial Patches.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Smooth Deep Image Generator from Noises.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
User-Click-Data-Based Fine-Grained Image Recognition via Weakly Supervised Metric Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2018

On Selecting Effective Patterns for Fast Support Vector Regression Training.
IEEE Trans. Neural Networks Learn. Syst., 2018

Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst., 2018

Shared Predictive Cross-Modal Deep Quantization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multiclass Learning With Partially Corrupted Labels.
IEEE Trans. Neural Networks Learn. Syst., 2018

Continuous Dropout.
IEEE Trans. Neural Networks Learn. Syst., 2018

Heterogeneous Multitask Metric Learning Across Multiple Domains.
IEEE Trans. Neural Networks Learn. Syst., 2018

On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Patch Alignment Manifold Matting.
IEEE Trans. Neural Networks Learn. Syst., 2018

SCE: A Manifold Regularized Set-Covering Method for Data Partitioning.
IEEE Trans. Neural Networks Learn. Syst., 2018

GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy.
IEEE Trans. Neural Networks Learn. Syst., 2018

Supervised Discrete Hashing With Relaxation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach.
IEEE Trans. Multim., 2018

Local Deep-Feature Alignment for Unsupervised Dimension Reduction.
IEEE Trans. Image Process., 2018

Person Re-Identification With Metric Learning Using Privileged Information.
IEEE Trans. Image Process., 2018

Perceptual Adversarial Networks for Image-to-Image Transformation.
IEEE Trans. Image Process., 2018

Training Very Deep CNNs for General Non-Blind Deconvolution.
IEEE Trans. Image Process., 2018

Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks.
IEEE Trans. Image Process., 2018

Cost-Sensitive Feature Selection by Optimizing F-Measures.
IEEE Trans. Image Process., 2018

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching.
IEEE Trans. Image Process., 2018

Interacting Tracklets for Multi-Object Tracking.
IEEE Trans. Image Process., 2018

Multi-Task Learning for Blind Source Separation.
IEEE Trans. Image Process., 2018

Triplet-Based Deep Hashing Network for Cross-Modal Retrieval.
IEEE Trans. Image Process., 2018

Multitask Autoencoder Model for Recovering Human Poses.
IEEE Trans. Ind. Electron., 2018

Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests.
IEEE Trans. Ind. Electron., 2018

Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.
IEEE Trans. Cybern., 2018

Video Saliency Detection Using Object Proposals.
IEEE Trans. Cybern., 2018

A Regularization Approach for Instance-Based Superset Label Learning.
IEEE Trans. Cybern., 2018

Semi-Supervised Learning Through Label Propagation on Geodesics.
IEEE Trans. Cybern., 2018

PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages.
IEEE Trans. Circuits Syst. Video Technol., 2018

Matrix Factorization for Collaborative Budget Allocation.
IEEE Trans Autom. Sci. Eng., 2018

A Light Dual-Task Neural Network for Haze Removal.
IEEE Signal Process. Lett., 2018

Multi-view manifold learning with locality alignment.
Pattern Recognit., 2018

MoE-SPNet: A mixture-of-experts scene parsing network.
Pattern Recognit., 2018

Active multi-kernel domain adaptation for hyperspectral image classification.
Pattern Recognit., 2018

Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Shakeout: A New Approach to Regularized Deep Neural Network Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Fast Supervised Discrete Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Variation in longitudinal trajectories of cortical sulci in normal elderly.
NeuroImage, 2018

Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review.
Inf. Fusion, 2018

Facial feature point detection: A comprehensive survey.
Neurocomputing, 2018

On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization.
Int. J. Comput. Vis., 2018

Generalization Bounds for Vicinal Risk Minimization Principle.
CoRR, 2018

An Optimal Transport View on Generalization.
CoRR, 2018

The Expressive Power of Parameterized Quantum Circuits.
CoRR, 2018

Transfer Metric Learning: Algorithms, Applications and Outlooks.
CoRR, 2018

Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient.
CoRR, 2018

Implementable Quantum Classifier for Nonlinear Data.
CoRR, 2018

Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping.
CoRR, 2018

Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem.
CoRR, 2018

Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization.
CoRR, 2018

Discriminative multi-view Privileged Information learning for image re-ranking.
CoRR, 2018

Instance-Dependent PU Learning by Bayesian Optimal Relabeling.
CoRR, 2018

Domain Generalization via Conditional Invariant Representation.
CoRR, 2018

Improved Techniques for Learning to Dehaze and Beyond: A Collective Study.
CoRR, 2018

Stochastic Zeroth-order Optimization via Variance Reduction method.
CoRR, 2018

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification.
CoRR, 2018

Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker.
CoRR, 2018

An Information-Theoretic View for Deep Learning.
CoRR, 2018

Deep Motion Boundary Detection.
CoRR, 2018

Causal Generative Domain Adaptation Networks.
CoRR, 2018

Learning Decorrelated Hashing Codes for Multimodal Retrieval.
CoRR, 2018

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.
CoRR, 2018

A survey on trajectory clustering analysis.
CoRR, 2018

CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling.
Bioinform., 2018

Random Angular Projection for Fast Nearest Subspace Search.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Learning Versatile Filters for Efficient Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Swap Disentangling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Comprehensive Distance-Preserving Autoencoders for Cross-Modal Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning Contextual and Attentive Information for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

On Quantifying Local Geometric Structures of Fiber Tracts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Towards Evolutionary Compression.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semantic Structure-based Unsupervised Deep Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online Heterogeneous Transfer Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

R-SVM+: Robust Learning with Privileged Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Historical Gradient Boosting Machine.
Proceedings of the GCAI-2018, 2018

Learning with Biased Complementary Labels.
Proceedings of the Computer Vision - ECCV 2018, 2018

Correcting the Triplet Selection Bias for Triplet Loss.
Proceedings of the Computer Vision - ECCV 2018, 2018

Saliency Preservation in Low-Resolution Grayscale Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Selective Zero-Shot Classification with Augmented Attributes.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Domain Generalization via Conditional Invariant Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.
Proceedings of the Computer Vision - ECCV 2018, 2018

Attention-GAN for Object Transfiguration in Wild Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Context Refinement for Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

Bitcoin Mixing Detection Using Deep Autoencoder.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry-Aware Scene Text Detection With Instance Transformation Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Ordinal Regression Network for Monocular Depth Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

Learning With Single-Teacher Multi-Student.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adversarial Learning of Portable Student Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sequence-to-Sequence Learning via Shared Latent Representation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Domain Generalization via Conditional Invariant Representations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reinforced Multi-Label Image Classification by Exploring Curriculum.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discriminative GoDec+ for Classification.
IEEE Trans. Signal Process., 2017

Coarse-to-Fine Learning for Single-Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Biologically Inspired Appearance Model for Robust Visual Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2017

Large-Cone Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2017

Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene.
IEEE Trans. Neural Networks Learn. Syst., 2017

The Twist Tensor Nuclear Norm for Video Completion.
IEEE Trans. Neural Networks Learn. Syst., 2017

Feature Selection Based on Structured Sparsity: A Comprehensive Study.
IEEE Trans. Neural Networks Learn. Syst., 2017

Label Propagation via Teaching-to-Learn and Learning-to-Teach.
IEEE Trans. Neural Networks Learn. Syst., 2017

Asymmetric Binary Coding for Image Search.
IEEE Trans. Multim., 2017

PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images.
IEEE Trans. Multim., 2017

Robust Dual Clustering with Adaptive Manifold Regularization.
IEEE Trans. Knowl. Data Eng., 2017

Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence.
IEEE Trans. Knowl. Data Eng., 2017

Joint Structured Sparsity Regularized Multiview Dimension Reduction for Video-Based Facial Expression Recognition.
ACM Trans. Intell. Syst. Technol., 2017

Large Sparse Cone Non-negative Matrix Factorization for Image Annotation.
ACM Trans. Intell. Syst. Technol., 2017

Multifeature Anisotropic Orthogonal Gaussian Process for Automatic Age Estimation.
ACM Trans. Intell. Syst. Technol., 2017

Friend or Foe: Fine-Grained Categorization With Weak Supervision.
IEEE Trans. Image Process., 2017

DCT Regularized Extreme Visual Recovery.
IEEE Trans. Image Process., 2017

Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects.
IEEE Trans. Image Process., 2017

Global Hashing System for Fast Image Search.
IEEE Trans. Image Process., 2017

Robust, Efficient Depth Reconstruction With Hierarchical Confidence-Based Matching.
IEEE Trans. Image Process., 2017

Joint Hierarchical Category Structure Learning and Large-Scale Image Classification.
IEEE Trans. Image Process., 2017

dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs.
IEEE Trans. Image Process., 2017

Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification.
IEEE Trans. Image Process., 2017

Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search.
IEEE Trans. Image Process., 2017

Adaptive Cascade Regression Model For Robust Face Alignment.
IEEE Trans. Image Process., 2017

Discriminative Multi-View Interactive Image Re-Ranking.
IEEE Trans. Image Process., 2017

Robust Object Tracking With Discrete Graph-Based Multiple Experts.
IEEE Trans. Image Process., 2017

Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach.
IEEE Trans. Image Process., 2017

Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion.
IEEE Trans. Image Process., 2017

Coupled Deep Autoencoder for Single Image Super-Resolution.
IEEE Trans. Cybern., 2017

Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking.
IEEE Trans. Cybern., 2017

Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.
IEEE Trans. Cybern., 2017

Stacked Convolutional Denoising Auto-Encoders for Feature Representation.
IEEE Trans. Cybern., 2017

Exploring Representativeness and Informativeness for Active Learning.
IEEE Trans. Cybern., 2017

Dynamically Modulated Mask Sparse Tracking.
IEEE Trans. Cybern., 2017

Combining local and global: Rich and robust feature pooling for visual recognition.
Pattern Recognit., 2017

Diversified dictionaries for multi-instance learning.
Pattern Recognit., 2017

Multi-layer multi-view topic model for classifying advertising video.
Pattern Recognit., 2017

Pose-invariant face recognition with homography-based normalization.
Pattern Recognit., 2017

Algorithm-Dependent Generalization Bounds for Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

LSV-Based Tail Inequalities for Sums of Random Matrices.
Neural Comput., 2017

Real-time traffic jams prediction inspired by Biham, Middleton and Levine (BML) model.
Inf. Sci., 2017

LAM<sup>3</sup>L: Locally adaptive maximum margin metric learning for visual data classification.
Neurocomputing, 2017

RESIDE: A Benchmark for Single Image Dehazing.
CoRR, 2017

Learning Reduced-Resolution and Super-Resolution Networks in Synch.
CoRR, 2017

Duality-free Methods for Stochastic Composition Optimization.
CoRR, 2017

A Compromise Principle in Deep Monocular Depth Estimation.
CoRR, 2017

Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering.
CoRR, 2017

Sparse Representation based Multi-sensor Image Fusion: A Review.
CoRR, 2017

Towards Evolutional Compression.
CoRR, 2017

Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition.
CoRR, 2017

Cross disease analysis of co-functional microRNA pairs on a reconstructed network of disease-gene-microRNA tripartite.
BMC Bioinform., 2017

Causal Discovery from Temporally Aggregated Time Series.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

DL-61-86 at TRECVID 2017: Video-to-Text Description.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

Learning from Multiple Teacher Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Adaptive Manifold Regularized Matrix Factorization for Data Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Privileged Multi-label Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Positive and Unlabeled Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tag Disentangled Generative Adversarial Network for Object Image Re-rendering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On Gleaning Knowledge from Multiple Domains for Active Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Understanding How Feature Structure Transfers in Transfer Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fast SVM Trained by Divide-and-Conquer Anchors.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Classification and Representation Joint Learning via Deep Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collaborative Rating Allocation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Privileged Matrix Factorization for Collaborative Filtering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Beyond Filters: Compact Feature Map for Portable Deep Model.
Proceedings of the 34th International Conference on Machine Learning, 2017

Algorithmic Stability and Hypothesis Complexity.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning with Inadequate and Incorrect Supervision.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Centered Weight Normalization in Accelerating Training of Deep Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Coarse-Fine Network for Keypoint Localization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Joint Intrinsic-Extrinsic Prior Model for Retinex.
Proceedings of the IEEE International Conference on Computer Vision, 2017

On Compressing Deep Models by Low Rank and Sparse Decomposition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Improving Training of Deep Neural Networks via Singular Value Bounding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Diversified Generative Latent Variable Model for WiFi-SLAM.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Beyond RPCA: Flattening Complex Noise in the Frequency Domain.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Structure Regularized Unsupervised Discriminant Feature Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection.
IEEE Trans. Neural Networks Learn. Syst., 2016

Multiple Representations-Based Face Sketch-Photo Synthesis.
IEEE Trans. Neural Networks Learn. Syst., 2016

On the Performance of Manhattan Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2016

Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst., 2016

Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction.
IEEE Trans. Medical Imaging, 2016

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization.
IEEE Trans. Knowl. Data Eng., 2016

Fast Sampling for Time-Varying Determinantal Point Processes.
ACM Trans. Knowl. Discov. Data, 2016

Video Face Editing Using Temporal-Spatial-Smooth Warping.
ACM Trans. Intell. Syst. Technol., 2016

Mutual Component Analysis for Heterogeneous Face Recognition.
ACM Trans. Intell. Syst. Technol., 2016

A Comprehensive Survey on Pose-Invariant Face Recognition.
ACM Trans. Intell. Syst. Technol., 2016

Kernel Learning for Dynamic Texture Synthesis.
IEEE Trans. Image Process., 2016

Local Rademacher Complexity for Multi-Label Learning.
IEEE Trans. Image Process., 2016

Multinomial Latent Logistic Regression for Image Understanding.
IEEE Trans. Image Process., 2016

Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing.
IEEE Trans. Image Process., 2016

Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression.
IEEE Trans. Image Process., 2016

Non-Local Auto-Encoder With Collaborative Stabilization for Image Restoration.
IEEE Trans. Image Process., 2016

Coupled Learning for Facial Deblur.
IEEE Trans. Image Process., 2016

A Fast Optimization Method for General Binary Code Learning.
IEEE Trans. Image Process., 2016

Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification.
IEEE Trans. Image Process., 2016

Simple to Complex Transfer Learning for Action Recognition.
IEEE Trans. Image Process., 2016

Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search.
IEEE Trans. Image Process., 2016

Dual Sparse Constrained Cascade Regression for Robust Face Alignment.
IEEE Trans. Image Process., 2016

Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search.
IEEE Trans. Image Process., 2016

Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection.
IEEE Trans. Image Process., 2016

Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification.
IEEE Trans. Image Process., 2016

SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear Regression.
IEEE Trans. Image Process., 2016

Unified Photo Enhancement by Discovering Aesthetic Communities From Flickr.
IEEE Trans. Image Process., 2016

Multi-View Object Retrieval via Multi-Scale Topic Models.
IEEE Trans. Image Process., 2016

Connected Component Model for Multi-Object Tracking.
IEEE Trans. Image Process., 2016

Multi-Modal Curriculum Learning for Semi-Supervised Image Classification.
IEEE Trans. Image Process., 2016

Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images.
IEEE Trans. Image Process., 2016

BIT: Biologically Inspired Tracker.
IEEE Trans. Image Process., 2016

DehazeNet: An End-to-End System for Single Image Haze Removal.
IEEE Trans. Image Process., 2016

p-Laplacian Regularized Sparse Coding for Human Activity Recognition.
IEEE Trans. Ind. Electron., 2016

Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization.
IEEE Trans. Geosci. Remote. Sens., 2016

Relative Attribute SVM+ Learning for Age Estimation.
IEEE Trans. Cybern., 2016

Perceptual Attributes Optimization for Multivideo Summarization.
IEEE Trans. Cybern., 2016

Representative Vector Machines: A Unified Framework for Classical Classifiers.
IEEE Trans. Cybern., 2016

Automatic Band Selection Using Spatial-Structure Information and Classifier-Based Clustering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Big data meets multimedia analytics.
Signal Process., 2016

DropSample: A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition.
Pattern Recognit., 2016

Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Classification with Noisy Labels by Importance Reweighting.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Per-Round Knapsack-Constrained Linear Submodular Bandits.
Neural Comput., 2016

Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes.
Neural Comput., 2016

M<sup>3</sup> CSR: Multi-view, multi-scale and multi-component cascade shape regression.
Image Vis. Comput., 2016

A multi-task model for simultaneous face identification and facial expression recognition.
Neurocomputing, 2016

A minimal Munsell value error based laser printer model.
Neurocomputing, 2016

Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach.