K. Jia

发表

Robust and Practical Face Recognition via Structured Sparsity

Yi Ma, Tsung-Han Chan, Kui Jia, 2012, ECCV.

Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

Lin Sun, Bertram E. Shi, Dit-Yan Yeung, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Image Transformation Based on Learning Dictionaries across Image Spaces

Xiaogang Wang, Xiaoou Tang, Kui Jia, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Improving Training of Deep Neural Networks via Singular Value Bounding

Dacheng Tao, Xiangmin Xu, Shenghua Gao, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition

Lin Sun, Gang Wang, Shuicheng Yan, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Fuzzy Vault

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Face Recognition Performance Evaluation

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Fake Finger Detection

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Features vs. Templates

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

A. Yuille, K. Jia, Lin Sun, 2019, ECCV.

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation

K. Jia, Zelin Xu, Yichen Zhang, 2022, IJCAI.

Prosodic Speaker Recognition

Kui Jia, Lujun Ji, K. Jia, 2006 .

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning

K. Jia, Xun Xu, Yongyi Su, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Facial Action Coding

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

False Positive Rate

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Face Identification

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Feature Vector

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Face Sample Quality

Shaogang Gong, Kui Jia, S. Gong, 2009, Encyclopedia of Biometrics.

Masked Surfel Prediction for Self-Supervised Point Cloud Learning

K. Jia, Lei Zhang, Chen-Hang He, 2022, ArXiv.

Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

K. Jia, Changxing Ding, Jiehong Lin, 2022, ECCV.

S-System, Geometry, Learning, and Optimization: A Theory of Neural Networks

Shuai Li, Kui Jia, K. Jia, 2018 .

Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization

K. Jia, Bin Deng, 2022, 2208.07798.

Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification pdf

Dacheng Tao, Mingming Gong, Kui Jia, 2021, IEEE Transactions on Multimedia.

Style Interleaved Learning for Generalizable Person Re-identification

Mingming Gong, K. Jia, Changxing Ding, 2022, ArXiv.

Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization

K. Jia, Ke Chen, Kang-Jun Liu, 2022, IEEE Transactions on Image Processing.

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

K. Jia, Yongyi Su, Xun Xu, 2022, NeurIPS.

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning

K. Jia, Lei Zhang, Yabin Zhang, 2022, ArXiv.

Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching

Yi Ma, Kui Jia, Jiabao Lei, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction

Dan Xu, Kui Jia, Lei Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Orthogonal Deep Neural Networks

Dacheng Tao, Tongliang Liu, Kui Jia, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discriminative Adversarial Domain Adaptation pdf

Kui Jia, Hui Tang, K. Jia, 2019, AAAI.

Combined Face Detection/Recognition System for Smart Rooms

Liyanage C. De Silva, Kui Jia, K. Jia, 2003, AVBPA.

Face Processing

Takeo Kanade, Rama Chellappa, Xudong Jiang, 2009, Encyclopedia of Biometrics.

Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold

Lin Sun, Zhan Song, Shenghua Gao, 2015, Neurocomputing.

Content-Aware Convolutional Neural Networks

Mingkui Tan, Kui Jia, Yaofo Chen, 2021, Neural Networks.

Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation pdf

Mingkui Tan, Kui Jia, Zhuangwei Zhuang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

PARN: Position-Aware Relation Networks for Few-Shot Learning

Kui Jia, Lihua Guo, Ziyang Wu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

A non-negative sparse promoting algorithm for high resolution hyperspectral imaging

Yi Ma, Wing-Kin Ma, Tsung-Han Chan, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Lei Zhang, K. Jia, Yabin Zhang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Joint Intrinsic-Extrinsic Prior Model for Retinex

Dacheng Tao, Bin Hu, Kailing Guo, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Robust Face Recognition by Constrained Part-based Alignment pdf

Yuting Zhang, Gang Pan, Yi Ma, 2015, ArXiv.

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images

Gang Wang, Shenghua Gao, Yi Ma, 2014, International Journal of Computer Vision.

Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition

Dong Xu, Tsung-Han Chan, Kui Jia, 2012, ECCV.

DehazeNet: An End-to-End System for Single Image Haze Removal

Dacheng Tao, Xiangmin Xu, Chunmei Qing, 2016, IEEE Transactions on Image Processing.

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners pdf

Kui Jia, Lei Zhang, Shuai Li, 2021, ArXiv.

Semi-Supervised Human Pose Estimation Piloted by Manifold Structure

Kui Jia, GuiDong Zhang, YongAn Li, 2009, 2009 International Conference on Information Engineering and Computer Science.

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal

Zhixin Wang, Kui Jia, K. Jia, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Domain-Symmetric Networks for Adversarial Domain Adaptation

Mingkui Tan, Hui Tang, Kui Jia, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Domain Adaptation of Black-Box Source Models

K. Jia, Lei Zhang, Yabin Zhang, 2021, British Machine Vision Conference.

Generalized Face Super-Resolution

Shaogang Gong, Kui Jia, S. Gong, 2008, IEEE Transactions on Image Processing.

Feature Map

Onur C. Hamsici, Michael C. Bromby, R. B. Kennedy, 2009, Encyclopedia of Biometrics.

Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks

Xiaoguang Han, Kui Jia, Weikai Chen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice

Lei Zhang, Yabin Zhang, Kui Jia, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adversarial Style Augmentation for Domain Generalization

K. Jia, Yabin Zhang, Bin Deng, 2023, ArXiv.

PCANet: A Simple Deep Learning Baseline for Image Classification?

Jiwen Lu, Shenghua Gao, Tsung-Han Chan, 2014, IEEE Transactions on Image Processing.

Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data pdf

Hui Tang, Yabin Zhang, Kui Jia, 2018, ECCV.

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

Ke Chen, Kui Jia, Hui Tang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation

Kui Jia, Kun Zhou, Xiaoguang Han, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Unsupervised domain adaptation via distilled discriminative clustering

K. Jia, Yaowei Wang, Hui Tang, 2022, Pattern Recognit..

Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation pdf

Lei Zhang, Bin Deng, Kui Jia, 2020, ECCV.

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks pdf

Kui Jia, Zhihao Li, Mingkui Tan, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters

Zhaohui Wu, Gang Pan, Yueming Wang, 2015, IEEE Transactions on Cybernetics.

Partial Occlusion Handling for Visual Tracking via Robust Part Matching

Changsheng Xu, Narendra Ahuja, Tianzhu Zhang, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-marginal Wasserstein GAN

Mingkui Tan, Chunhua Shen, Yifan Zhang, 2019, NeurIPS.

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization

K. Jia, Bin Deng, 2022, Entropy.

Point-MA2E: Masked and Afﬁne Transformed AutoEncoder for Self-supervised Point Cloud Learning

K. Jia, Lei Zhang, Yabin Zhang, 2023 .

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

Kui Jia, Chaozheng Wu, Xun Xu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

K. Jia, Lin Sun, Zhihao Liang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space pdf

Hongyang Li, Kui Jia, Jiehong Lin, 2021, NeurIPS.

SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images

K. Jia, Xin Tong, Xiaoguang Han, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Geometry-Aware Generation of Adversarial Point Clouds

K. Jia, Ke Chen, Jiehong Lin, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds pdf

Kui Jia, Hui Tang, Ke Chen, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks

Dan Xu, Kui Jia, Lei Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models

K. Jia, Jiapeng Tang, Jiabao Lei, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Object Point Cloud Classification via Poly-Convolutional Architecture Search

Kui Jia, Ke Chen, Xuanxiang Lin, 2021, ACM Multimedia.

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds

Kui Jia, Jianguo Zhang, Yuxin Wen, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition pdf

Kui Jia, Xiaoguang Han, Nianjuan Jiang, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps pdf

Jian Chen, Kui Jia, Lin Sun, 2020, NeurIPS.

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach pdf

Ke Chen, Kui Jia, Lile Cai, 2021, ArXiv.

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency pdf

Kui Jia, Songcen Xu, Zhihao Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images

Xiaoguang Han, Xin Tong, Kui Jia, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Universal Domain Adaptation from Foundation Models

K. Jia, Bin Deng, 2023, ArXiv.

HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization

K. Jia, Changxing Ding, Zhangjin Huang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers

Mingkui Tan, Dacheng Tao, Kui Jia, 2019, IEEE Transactions on Image Processing.

Deep Optimized Priors for 3D Shape Modeling and Reconstruction pdf

Kui Jia, Mingyue Yang, Yuxin Wen, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks pdf

Kui Jia, Jiabao Lei, K. Jia, 2020, ICML.

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose

K. Jia, Zelin Xu, Yichen Zhang, 2023, IJCAI.

Cumulative attribute space regression for head pose estimation and color constancy

Jiri Matas, Ke Chen, Joni-Kristian Kämäräinen, 2019, Pattern Recognit..

Classification of single-view object point clouds

K. Jia, Zelin Xu, Changxing Ding, 2020, Pattern Recognit..

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

K. Jia, Xun Xu, Yongyi Su, 2023, ArXiv.

Lattice Long Short-Term Memory for Human Action Recognition

Lin Sun, Silvio Savarese, Kevin Chen, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Multi-Task CNN Model for Attribute Prediction

Gang Wang, Jiwen Lu, Kui Jia, 2015, IEEE Transactions on Multimedia.

A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation

K. Jia, Hui Tang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A semi-supervised approach for dimensionality reduction with distributional similarity

Ling Shao, Ronald Chung, Zhan Song, 2013, Neurocomputing.

Deep Cascade Generation on Point Sets

Kui Jia, Kaiqi Wang, Ke Chen, 2019, IJCAI.

A Study on Gait-Based Gender Classification

Tieniu Tan, Kaiqi Huang, Xinyu Wu, 2009, IEEE Transactions on Image Processing.

Single Sample Face Recognition via Learning Deep Supervised Autoencoders

Jiwen Lu, Yuting Zhang, Shenghua Gao, 2015, IEEE Transactions on Information Forensics and Security.

Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition

Shenghua Gao, Liansheng Zhuang, Yi Ma, 2014, International Journal of Computer Vision.

Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors

K. Jia, Yu Hong, Ke Chen, 2020, IEEE Transactions on Cybernetics.

Reconstruction-Based Metric Learning for Unconstrained Face Verification

Gang Wang, Jiwen Lu, Weihong Deng, 2015, IEEE Transactions on Information Forensics and Security.

Learning by Associating Ambiguously Labeled Images

Dong Xu, Shenghua Gao, Yi Ma, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Hallucinating multiple occluded face images of different resolutions

Shaogang Gong, Kui Jia, S. Gong, 2006, Pattern Recognit. Lett..

Multi-Resolution Patch Tensor for Facial Expression Hallucination

Shaogang Gong, Kui Jia, S. Gong, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Multi-modal tensor face for simultaneous super-resolution and recognition

Shaogang Gong, Kui Jia, S. Gong, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Multi-modal face image super-resolutions in tensor space

Shaogang Gong, Kui Jia, S. Gong, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

Face super-resolution using multiple occluded images of different resolutions

Shaogang Gong, Kui Jia, S. Gong, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

K. Jia, Zihao Wang, Ke Chen, 2022, ECCV.

Coupling Face Registration and Super-Resolution

Alex Po Leung, Shaogang Gong, Kui Jia, 2006, BMVC.

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning

Wei Liu, Jiayi Ma, Yuan Gao, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DETECT : A Deep Discriminative Clustering Baseline for Unsupervised and Universal Domain Adaptation

K. Jia, Bin Deng, Yabin Zhang, 2021 .

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation

K. Jia, Hongyang Li, Jiehong Lin, 2022, ECCV.

Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning

K. Jia, Hui Tang, 2022, Computer Vision and Pattern Recognition.

Spectral attribute learning for visual regression

Ke Chen, Joni-Kristian Kämäräinen, Zhaoxiang Zhang, 2017, Pattern Recognit..

3D Object Classification on Partial Point Clouds: A Practical Perspective

K. Jia, Zelin Xu, Ke Chen, 2020, ArXiv.

Style Interleaved Learning for Generalizable Person Re-Identification

Mingming Gong, K. Jia, Changxing Ding, 2022, IEEE Transactions on Multimedia.

HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation

Kun Zhou, Kui Jia, Xiaoguang Han, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Vicinal and categorical domain adaptation

Kui Jia, Hui Tang, K. Jia, 2021, Pattern Recognit..

A deep learning based interactive sketching system for fashion images design pdf

Kui Jia, Xiaoguang Han, Nianjuan Jiang, 2020, PG.

Geometry-aware Generation of Adversarial and Cooperative Point Clouds pdf

Ke Chen, Kui Jia, Yuxin Wen, 2019, ArXiv.

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering

Xiatian Zhu, K. Jia, Ke Chen, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

K. Jia, Xun Xu, Tianrui Li, 2023, ArXiv.

On Universal Black-Box Domain Adaptation pdf

Kui Jia, Changxing Ding, Hui Tang, 2021, ArXiv.

Face Sample Quality

Shaogang Gong, Kui Jia, S. Gong, 2009, Encyclopedia of Biometrics.

Cascading Convolutional Color Constancy

Zhaoxiang Zhang, Ke Chen, Kui Jia, 2019, AAAI.

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks pdf

Shuai Li, Kui Jia, Yuxin Wen, 2020, ICML.

Patch-Set-Based Representation for Alignment-Free Image Set Classification

Jinhui Tang, Shenghua Gao, Tsung-Han Chan, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Optical flow estimation using learned sparse model

Xiaogang Wang, Xiaoou Tang, Kui Jia, 2011, 2011 International Conference on Computer Vision.

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed

K. Jia, Jun Huang, Lianwen Jin, 2023, ACL.

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning

K. Jia, Xun Xu, Yongyi Su, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds

K. Jia, Jiabao Lei, Jianguo Zhang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

K. Jia, Yongyi Su, Xun Xu, 2023, AAAI.

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Lei Zhang, K. Jia, Yabin Zhang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations

K. Jia, Yabin Zhang, Jiehong Lin, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice

K. Jia, Hui Tang, Lei Zhang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers

K. Jia, Lin Sun, Hui Tang, 2022, ECCV.

On Universal Black-Box Domain Adaptation

K. Jia, Changxing Ding, Hui Tang, 2021, ArXiv.

Unsupervised Domain Adaptation of Black-Box Source Models pdf

Lei Zhang, Haojian Zhang, Kui Jia, 2021, BMVC.

Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network

Zhixin Wang, Yabin Zhang, Kui Jia, 2018, IEEE Transactions on Multimedia.

BIT: Biologically Inspired Tracker

Dacheng Tao, Xiangmin Xu, Xiaofen Xing, 2016, IEEE Transactions on Image Processing.