Zhangyang Wang

Ying Ding

Yifan Peng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Signal Processing for Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Winning Tickets are Data-Efficient Image Recognizers.

[BibT_eX]

[DOI]

Subhashini Venugopalan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Symbolic Distillation for Learned TCP Congestion Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

TxVAD: Improved Video Action Detection by Transformers.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cloud2Sketch: Augmenting Clouds with Imaginary Sketches.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2022

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.

[BibT_eX]

[DOI]

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.

[BibT_eX]

[DOI]

Mykola Pechenizkiy

Shiwei Liu

Proceedings of the Learning on Graphs Conference, 2022

Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Removing Batch Normalization Boosts Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Neural Implicit Dictionary Learning via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Universality of Winning Tickets: A Renormalization Group Perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Training Your Sparse Neural Network Better with Any Mask.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Symbolic Learning to Optimize: Towards Interpretability and Scalability.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unified Visual Transformer Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.

[BibT_eX]

[DOI]

Mykola Pechenizkiy

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimizer Amalgamation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable.

[BibT_eX]

[DOI]

Shaojin Ding

Tianlong Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently.

[BibT_eX]

[DOI]

Xiaohan Chen

Jason Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Auto-scaling Vision Transformers without Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

Model elasticity for hardware heterogeneity in federated learning systems.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent.

[BibT_eX]

[DOI]

Junyuan Hong

Artur André Almeida de Macedo Oliveira

Jiayu Zhou

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Fast and High Quality Image Denoising via Malleable Convolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unified Implicit Neural Stylization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

DiSparse: Disentangled Sparsification for Multitask Model Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild.

[BibT_eX]

[DOI]

Roberto Hirata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

[BibT_eX]

[DOI]

Yifan Peng

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

Controllable Sketch-to-Image Translation for Robust Face Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

EnlightenGAN: Deep Light Enhancement Without Paired Supervision.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Deep Adversarial Data Augmentation for Extremely Low Data Regimes.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Contrastive learning improves critical event prediction in COVID-19 patients.

[BibT_eX]

[DOI]

Jessica K. De Freitas

Patterns, 2021

Bridging the Gap Between Computational Photography and Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2021

Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives.

[BibT_eX]

[DOI]

Roberto Hirata Junior

Roberto M. Cesar Jr.

Xiaochun Cao

Int. J. Comput. Vis., 2021

Report on UG2+ challenge Track 1: Assessing algorithms to improve video object detection and classification from unconstrained mobility platforms.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling.

[BibT_eX]

[DOI]

CoRR, 2021

Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs.

[BibT_eX]

[DOI]

CoRR, 2021

Font Completion and Manipulation by Cycling Between Multi-Modality Representations.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics.

[BibT_eX]

[DOI]

CoRR, 2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.

[BibT_eX]

[DOI]

CoRR, 2021

IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Practical Machine Learning Safety: A Survey and Primer.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors.

[BibT_eX]

[DOI]

CoRR, 2021

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

[BibT_eX]

[DOI]

Yan Han

Chongyan Chen

Ahmed H. Tewfik

Ying Ding

Yifan Peng

CoRR, 2021

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.

[BibT_eX]

[DOI]

CoRR, 2021

UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution.

[BibT_eX]

[DOI]

Xingqian Xu

Humphrey Shi

CoRR, 2021

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.

[BibT_eX]

[DOI]

CoRR, 2021

Sandwich Batch Normalization.

[BibT_eX]

[DOI]

CoRR, 2021

Weak NAS Predictors Are All You Need.

[BibT_eX]

[DOI]

CoRR, 2021

TransGAN: Two Transformers Can Make One Strong GAN.

[BibT_eX]

[DOI]

Yifan Jiang

Shiyu Chang

CoRR, 2021

On Dynamic Noise Influence in Differentially Private Learning.

[BibT_eX]

[DOI]

Junyuan Hong

Jiayu Zhou

CoRR, 2021

Good Students Play Big Lottery Better.

[BibT_eX]

[DOI]

CoRR, 2021

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.

[BibT_eX]

[DOI]

CoRR, 2021

Foreword to the special section on SIBGRAPI-Conference on Graphics, Patterns and Images is an international conference 2020.

[BibT_eX]

[DOI]

Soraia Raupp Musse

Roberto M. Cesar Jr.

Nuria Pelechano

Zhangyang (Atlas) Wang

Comput. Graph., 2021

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.

[BibT_eX]

[DOI]

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

Stronger NAS with Weaker Predictors.

[BibT_eX]

[DOI]

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

AugMax: Adversarial Composition of Random Augmentations for Robust Training.

[BibT_eX]

[DOI]

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

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers.

[BibT_eX]

[DOI]

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

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

[BibT_eX]

[DOI]

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

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.

[BibT_eX]

[DOI]

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

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up.

[BibT_eX]

[DOI]

Yifan Jiang

Shiyu Chang

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

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling.

[BibT_eX]

[DOI]

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

Hyperparameter Tuning is All You Need for LISTA.

[BibT_eX]

[DOI]

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

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.

[BibT_eX]

[DOI]

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

The Elastic Lottery Ticket Hypothesis.

[BibT_eX]

[DOI]

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

Chasing Sparsity in Vision Transformers: An End-to-End Exploration.

[BibT_eX]

[DOI]

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

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective.

[BibT_eX]

[DOI]

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

Federated Adversarial Debiasing for Fair and Transferable Representations.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm.

[BibT_eX]

[DOI]

Mingkang Zhu

Tianlong Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Lottery Ticket Finding: Less Data is More.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Graph Contrastive Learning Automated.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Self-Damaging Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A Unified Lottery Ticket Hypothesis for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

SAFIN: Arbitrary Style Transfer with Self-Attentive Factorized Instance Normalization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

UMEC: Unified model and embedding compression for efficient recommendation systems.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning A Minimax Optimizer: A Pilot Study.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

A Design Space Study for LISTA and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Undistillable: Making A Nasty Teacher That CANNOT teach students.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Overfitting may be mitigated by properly learned smoothening.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Contrastive Syn-to-Real Generalization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.

[BibT_eX]

[DOI]

Wuyang Chen

Xinyu Gong

Proceedings of the 9th International Conference on Learning Representations, 2021

SSH: A Self-Supervised Framework for Image Harmonization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Searching for Two-Stream Models in Multivariate Space for Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

An Al-based Spatial Knowledge Graph for Enhancing Spatial Data and Knowledge Search and Discovery.

[BibT_eX]

[DOI]

Proceedings of the GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2021

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Troubleshooting Blind Image Quality Models in the Wild.

[BibT_eX]

[DOI]

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

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.

[BibT_eX]

[DOI]

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

Debiased Subjective Assessment of Real-World Image Enhancement.

[BibT_eX]

[DOI]

Peibei Cao

Kede Ma

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

Dissecting the High-Frequency Bias in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Antonio A. Abello

Roberto Hirata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.

[BibT_eX]

[DOI]

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data.

[BibT_eX]

[DOI]

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

The 2020 Low-Power Computer Vision Challenge.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Model-Based Privacy Protection under Budget Constraints.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Learning Simple Thresholded Features With Sparse Support Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing.

[BibT_eX]

[DOI]

CoRR, 2020

PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis.

[BibT_eX]

[DOI]

CoRR, 2020

AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Can 3D Adversarial Logos Cloak Humans?

[BibT_eX]

[DOI]

CoRR, 2020

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms.

[BibT_eX]

[DOI]

CoRR, 2020

An adversarial learning framework for preserving users' anonymity in face-based emotion recognition.

[BibT_eX]

[DOI]

Vansh Narula

Theodora Chaspari

CoRR, 2020

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

DAVID: Dual-Attentional Video Deblurring.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

ShiftAddNet: A Hardware-Inspired Deep Network.

[BibT_eX]

[DOI]

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

Graph Contrastive Learning with Augmentations.

[BibT_eX]

[DOI]

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

Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.

[BibT_eX]

[DOI]

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

Robust Pre-Training by Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

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

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training.

[BibT_eX]

[DOI]

Kailash Gopalakrishnan

Yingyan Lin

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

Training Stronger Baselines for Learning to Optimize.

[BibT_eX]

[DOI]

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

MATE: Plugging in Model Awareness to Task Embedding for Meta Learning.

[BibT_eX]

[DOI]

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

The Lottery Ticket Hypothesis for Pre-trained BERT Networks.

[BibT_eX]

[DOI]

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

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.

[BibT_eX]

[DOI]

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

AutoSpeech: Neural Architecture Search for Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

When Does Self-Supervision Help Graph Convolutional Networks?

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Eliminating the Invariance on the Loss Landscape of Linear Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Automated Synthetic-to-Real Generalization.

[BibT_eX]

[DOI]

Wuyang Chen

Zhiding Yu

Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

NADS: Neural Architecture Distribution Search for Uncertainty Awareness.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

FasterSeg: Searching for Faster Real-time Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

HALO: Hardware-Aware Learning to Optimize.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

What Does CNN Shift Invariance Look Like? A Visualization Study.

[BibT_eX]

[DOI]

Jake Lee

Junfeng Yang

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Self-Supervised Learning for Generalizable Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Practical Solutions for Machine Learning Safety in Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Enhance Visual Recognition Under Adverse Conditions via Deep Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Benchmarking Single-Image Dehazing and Beyond.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Hyperspectral Image Classification Using Similarity Measurements-Based Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

Remote. Sens., 2019

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.

[BibT_eX]

[DOI]

CoRR, 2019

Drawing early-bird tickets: Towards more efficient training of deep networks.

[BibT_eX]

[DOI]

CoRR, 2019

Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms.

[BibT_eX]

[DOI]

CoRR, 2019

Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset.

[BibT_eX]

[DOI]

CoRR, 2019

ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands.

[BibT_eX]

[DOI]

CoRR, 2019

Segmentation-Aware Image Denoising without Knowing True Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting Model Failure using Saliency Maps in Autonomous Driving Systems.

[BibT_eX]

[DOI]

Sina Mohseni

Akshay Jagadeesh

CoRR, 2019

UG2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarially Trained Model Compression: When Robustness Meets Efficiency.

[BibT_eX]

[DOI]

CoRR, 2019

DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networks.

[BibT_eX]

[DOI]

Bioinform., 2019

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Model Compression with Adversarial Robustness: A Unified Optimization Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Optimize in Swarms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Novel Framework for 3D-2D Vertebra Matching.

[BibT_eX]

[DOI]

Thenkurussi Kesavadas

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Self-Reproducing Video Frame Interpolation.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Controllable Artistic Text Style Transfer via Shape-Matching GAN.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AutoGAN: Neural Architecture Search for Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ABD-Net: Attentive but Diverse Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning.

[BibT_eX]

[DOI]

Pritish M. Uplavikar

Zhenyu Wu

Roberto Marcondes Cesar Junior

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Single Image Deraining: A Comprehensive Benchmark Analysis.

[BibT_eX]

[DOI]

Roberto Hirata Junior

Jiawan Zhang

Xiaojie Guo

Xiaochun Cao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ArcticNet: A Deep Learning Solution to Classify the Arctic Area.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

[BibT_eX]

[DOI]

Nitin Bansal

Xiaohan Chen

CoRR, 2018

U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Lp-Norm Constrained Coding With Frank-Wolfe Network.

[BibT_eX]

[DOI]

CoRR, 2018

Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds.

[BibT_eX]

[DOI]

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

Can We Gain More from Orthogonality Regularizations in Training Deep Networks?

[BibT_eX]

[DOI]

Nitin Bansal

Xiaohan Chen

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

MusicMapp: A Deep Learning Based Solution for Music Exploration and Visual Interaction.

[BibT_eX]

[DOI]

Mohammed Habibullah Baig

Jibin Rajan Varghese

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.

[BibT_eX]

[DOI]

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

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity.

[BibT_eX]

[DOI]

Jianghao Shen

Sicheng Wang

Vineeth N. Balasubramanian

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.

[BibT_eX]

[DOI]

Konstantinos Avgerinakis

Naveen Kumar Vedurupaka

Nehal Mamgain

Nitin Bansal

Oliver Acatay

Panagiotis Giannakeris

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

End-to-End United Video Dehazing and Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Biomedical informatics with optimization and machine learning.

[BibT_eX]

[DOI]

EURASIP J. Bioinform. Syst. Biol., 2017

RESIDE: A Benchmark for Single Image Dehazing.

[BibT_eX]

[DOI]

CoRR, 2017

An All-in-One Network for Dehazing and Beyond.

[BibT_eX]

[DOI]

CoRR, 2017

Image aesthetics assessment using Deep Chatterjee's machine.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Doubly Sparsifying Network.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Computed tomography super-resolution using convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Robust Video Super-Resolution with Learned Temporal Dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

AOD-Net: All-in-One Dehazing Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Balanced Two-Stage Residual Networks for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Transformed Anti-Sparse Hashing.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

Robust emotion recognition from low quality and low bit rate video: A deep learning approach.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Task-specific and interpretable feature learning

[BibT_eX]

[DOI]

PhD thesis, 2016

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters.

[BibT_eX]

[DOI]

Georgios B. Giannakis

Thomas S. Huang

CoRR, 2016

$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.

[BibT_eX]

[DOI]

CoRR, 2016

Brain-Inspired Deep Networks for Image Aesthetics Assessment.

[BibT_eX]

[DOI]

CoRR, 2016

Learning A Task-Specific Deep Architecture For Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

UnitBox: An Advanced Object Detection Network.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Learning A Deep ℓ∞ Encoder for Hashing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Studying Very Low Resolution Recognition Using Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Epitomic Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning Deep ℓ0 Encoders.

[BibT_eX]

[DOI]

Qing Ling

Thomas S. Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Super-Resolution Jointly From External and Internal Examples.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization.

[BibT_eX]

[DOI]