Kui Jia

According to our database1, Kui Jia authored at least 158 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Style Interleaved Learning for Generalizable Person Re-Identification.
IEEE Trans. Multim., 2024

Sur2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images.
CoRR, 2024

2023
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization.
Entropy, February, 2023

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

Classification of single-view object point clouds.
Pattern Recognit., 2023

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation.
CoRR, 2023

GS-IR: 3D Gaussian Splatting for Inverse Rendering.
CoRR, 2023

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation.
CoRR, 2023

Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization.
CoRR, 2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.
CoRR, 2023

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States.
CoRR, 2023

Improving Deep Representation Learning via Auxiliary Learnable Target Coding.
CoRR, 2023

Universal Domain Adaptation from Foundation Models.
CoRR, 2023

STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization.
CoRR, 2023

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training.
CoRR, 2023

Adversarial Style Augmentation for Domain Generalization.
CoRR, 2023

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization.
IEEE Trans. Image Process., 2022

Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors.
IEEE Trans. Cybern., 2022

Unsupervised domain adaptation via distilled discriminative clustering.
Pattern Recognit., 2022

HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Geometry-Aware Generation of Adversarial Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models.
CoRR, 2022

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning.
CoRR, 2022

Masked Surfel Prediction for Self-Supervised Point Cloud Learning.
CoRR, 2022

Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving.
CoRR, 2022

Surface Reconstruction from Point Clouds: A Survey and a Benchmark.
CoRR, 2022

Knowledge transferred adaptive filter pruning for CNN compression and acceleration.
Sci. China Inf. Sci., 2022

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap.
Proceedings of the Computer Vision - ECCV 2022, 2022

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Vicinal and categorical domain adaptation.
Pattern Recognit., 2021

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

Content-aware convolutional neural networks.
Neural Networks, 2021

Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds.
CoRR, 2021

Gradual Domain Adaptation via Self-Training of Auxiliary Models.
CoRR, 2021

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners.
CoRR, 2021

Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks.
CoRR, 2021

On Universal Black-Box Domain Adaptation.
CoRR, 2021

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach.
CoRR, 2021

JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Object Point Cloud Classification via Poly-Convolutional Architecture Search.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Optimized Priors for 3D Shape Modeling and Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Domain Adaptation of Black-Box Source Models.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network.
IEEE Trans. Multim., 2020

3D Object Classification on Partial Point Clouds: A Practical Perspective.
CoRR, 2020

Learning Category-level Shape Saliency via Deep Implicit Surface Networks.
CoRR, 2020

CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling.
CoRR, 2020

A Deep Learning Based Interactive Sketching System for Fashion Images Design.
Proceedings of the 28th Pacific Conference on Computer Graphics and Applications, 2020

Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots.
Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cascading Convolutional Color Constancy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Discriminative Adversarial Domain Adaptation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images.
IEEE Trans. Circuits Syst. Video Technol., 2019

Canonical Correlation Analysis Regularization: An Effective Deep Multiview Learning Baseline for RGB-D Object Recognition.
IEEE Trans. Cogn. Dev. Syst., 2019

Cumulative attribute space regression for head pose estimation and color constancy.
Pattern Recognit., 2019

W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression.
CoRR, 2019

Geometry-aware Generation of Adversarial and Cooperative Point Clouds.
CoRR, 2019

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection.
CoRR, 2019

Multi-marginal Wasserstein GAN.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Deep Cascade Generation on Point Sets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

PARN: Position-Aware Relation Networks for Few-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Domain-Symmetric Networks for Adversarial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Efficient 3D Visual Perception for Robotic Rock Breaking.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Coupled Recurrent Network (CRN).
CoRR, 2018

Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision.
CoRR, 2018

FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information.
CoRR, 2018

Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data.
Proceedings of the Computer Vision - ECCV 2018, 2018

Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Spectral attribute learning for visual regression.
Pattern Recognit., 2017

Learning Reduced-Resolution and Super-Resolution Networks in Synch.
CoRR, 2017

Lattice Long Short-Term Memory for Human Action Recognition.
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

Improving Training of Deep Neural Networks via Singular Value Bounding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Patch-Set-Based Representation for Alignment-Free Image Set Classification.
IEEE Trans. Circuits Syst. Video Technol., 2016

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images.
Int. J. Comput. Vis., 2016

Automatic Discoveries of Physical and Semantic Concepts via Association Priors of Neuron Groups.
CoRR, 2016

Improving training of deep neural networks via Singular Value Bounding.
CoRR, 2016

2015
Face Sample Quality.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Multi-Task CNN Model for Attribute Prediction.
IEEE Trans. Multim., 2015

PCANet: A Simple Deep Learning Baseline for Image Classification?
IEEE Trans. Image Process., 2015

Reconstruction-Based Metric Learning for Unconstrained Face Verification.
IEEE Trans. Inf. Forensics Secur., 2015

Single Sample Face Recognition via Learning Deep Supervised Autoencoders.
IEEE Trans. Inf. Forensics Secur., 2015

Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters.
IEEE Trans. Cybern., 2015

Looking Inside Category: Subcategory-Aware Object Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2015

Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold.
Neurocomputing, 2015

Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition.
Int. J. Comput. Vis., 2015

Robust Face Recognition by Constrained Part-based Alignment.
CoRR, 2015

Weakly Supervised Object Class Learning Via Discriminative Subspace Models.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
MMSE Design of Time and Color Multiplexing Codes.
IEEE Trans. Signal Process., 2014

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images.
CoRR, 2014

Partial Occlusion Handling for Visual Tracking via Robust Part Matching.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Image Transformation Based on Learning Dictionaries across Image Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A semi-supervised approach for dimensionality reduction with distributional similarity.
Neurocomputing, 2013

Learning to Share Latent Tasks for Action Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A non-negative sparse promoting algorithm for high resolution hyperspectral imaging.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning by Associating Ambiguously Labeled Images.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition.
Proceedings of the Computer Vision - ECCV 2012, 2012

Robust and Practical Face Recognition via Structured Sparsity.
Proceedings of the Computer Vision - ECCV 2012, 2012

Towards Optimal Design of Time and Color Multiplexing Codes.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Optical flow estimation using learned sparse model.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2009
Face Sample Quality.
Proceedings of the Encyclopedia of Biometrics, 2009

A Study on Gait-Based Gender Classification.
IEEE Trans. Image Process., 2009

Unsupervised Human Motion Analysis Using Automatic Label Trees.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Generalized Face Super-Resolution.
IEEE Trans. Image Process., 2008

Human action recognition using Local Spatio-Temporal Discriminant Embedding.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
Hallucinating multiple occluded face images of different resolutions.
Pattern Recognit. Lett., 2006

Multi-Resolution Patch Tensor for Facial Expression Hallucination.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Coupling Face Registration and Super-Resolution.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Face super-resolution using multiple occluded images of different resolutions.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

Multi-modal face image super-resolutions in tensor space.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

2003
Human activities recognition by head movement using partial recurrent neural network.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Combined Face Detection/Recognition System for Smart Rooms.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003


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