default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKui Jia
Person information
Other persons with a similar name
SPARQL queries 
🛈 Please note that only 69% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j45]Kangjun Liu
, Ke Chen, Kui Jia, Yaowei Wang:
Improving deep representation learning via auxiliary learnable target coding. Pattern Recognit. 157: 110938 (2025)- 2024
- [j44]Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5524-5540 (2024) - [j43]Wentao Tan, Changxing Ding, Pengfei Wang, Mingming Gong, Kui Jia:
Style Interleaved Learning for Generalizable Person Re-Identification. IEEE Trans. Multim. 26: 1600-1612 (2024) - [j42]Xian Shi, Lile Cai, Ke Chen, Chuan Sheng Foo, Kui Jia, Xun Xu:
Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach. World Sci. Annu. Rev. Artif. Intell. 2: 2440006:1-2440006:29 (2024) - [c85]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. AAAI 2024: 15126-15135 - [c84]Jingyu Xiang, Xuanxiang Lin, Ke Chen, Kui Jia:
Adversarial Geometric Transformations of Point Clouds for Physical Attack. CVM (1) 2024: 129-151 - [c83]Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang:
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CVPR 2024: 7817-7826 - [c82]Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia:
GS-IR: 3D Gaussian Splatting for Inverse Rendering. CVPR 2024: 21644-21653 - [c81]Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia:
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CVPR 2024: 23385-23395 - [c80]Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia:
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CVPR 2024: 27906-27916 - [c79]Bingyan Liu, Chengyu Wang, Jun Huang, Kui Jia:
Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing. ACM Multimedia 2024: 4158-4166 - [i108]Zhangjin Huang, Zhihao Liang, Haojie Zhang, Yangkai Lin, Kui Jia:
Sur2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images. CoRR abs/2401.03704 (2024) - [i107]Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang:
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CoRR abs/2403.03431 (2024) - [i106]Zhihao Liang, Qi Zhang, Wenbo Hu, Ying Feng, Lei Zhu, Kui Jia:
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration. CoRR abs/2403.11056 (2024) - [i105]Yongwei Chen, Tengfei Wang, Tong Wu, Xingang Pan, Kui Jia, Ziwei Liu:
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance. CoRR abs/2403.12409 (2024) - [i104]Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu:
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection. CoRR abs/2405.18911 (2024) - [i103]Yuan Gao, Yajing Luo, Junhong Wang, Kui Jia, Gui-Song Xia:
Towards Human-Level 3D Relative Pose Estimation: Generalizable, Training-Free, with Single Reference. CoRR abs/2406.18453 (2024) - [i102]Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang:
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR abs/2407.18534 (2024) - 2023
- [j41]Bin Deng, Kui Jia:
Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization. Entropy 25(2): 193 (2023) - [j40]Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia:
Classification of single-view object point clouds. Pattern Recognit. 135: 109137 (2023) - [j39]Yongyi Su, Xun Xu, Kui Jia:
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7723-7736 (2023) - [j38]Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao:
Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. IEEE Trans. Multim. 25: 2624-2635 (2023) - [c78]Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang:
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) 2023: 295-304 - [c77]Jiabao Lei, Jiapeng Tang, Kui Jia:
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models. CVPR 2023: 8422-8434 - [c76]Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia:
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization. CVPR 2023: 13165-13174 - [c75]Hui Tang, Kui Jia:
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation. CVPR 2023: 15954-15964 - [c74]Yushu Li, Xun Xu, Yongyi Su, Kui Jia:
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. ICCV 2023: 11802-11812 - [c73]Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia:
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. ICCV 2023: 13955-13965 - [c72]Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia:
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation. ICCV 2023: 22189-22199 - [c71]Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia:
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. IJCAI 2023: 1740-1748 - [i101]Yabin Zhang, Bin Deng, Ruihuang Li, Kui Jia, Lei Zhang:
Adversarial Style Augmentation for Domain Generalization. CoRR abs/2301.12643 (2023) - [i100]Hui Tang, Yaowei Wang, Kui Jia:
Unsupervised Domain Adaptation via Distilled Discriminative Clustering. CoRR abs/2302.11984 (2023) - [i99]Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia:
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization. CoRR abs/2302.14340 (2023) - [i98]Hui Tang, Kui Jia:
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation. CoRR abs/2303.09165 (2023) - [i97]Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. CoRR abs/2303.10856 (2023) - [i96]Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia:
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation. CoRR abs/2303.13873 (2023) - [i95]Yijin Chen, Xun Xu, Yongyi Su, Kui Jia:
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization. CoRR abs/2303.17937 (2023) - [i94]Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia:
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. CoRR abs/2305.10808 (2023) - [i93]Bin Deng, Kui Jia:
Universal Domain Adaptation from Foundation Models. CoRR abs/2305.11092 (2023) - [i92]Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia:
Improving Deep Representation Learning via Auxiliary Learnable Target Coding. CoRR abs/2305.18680 (2023) - [i91]Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia:
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. CoRR abs/2305.18684 (2023) - [i90]Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia:
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. CoRR abs/2308.09916 (2023) - [i89]Yushu Li, Xun Xu, Yongyi Su, Kui Jia:
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. CoRR abs/2308.09942 (2023) - [i88]Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang:
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR abs/2309.05534 (2023) - [i87]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization. CoRR abs/2309.14949 (2023) - [i86]Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia:
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CoRR abs/2311.15707 (2023) - [i85]Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia:
GS-IR: 3D Gaussian Splatting for Inverse Rendering. CoRR abs/2311.16473 (2023) - [i84]Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia:
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CoRR abs/2312.03502 (2023) - 2022
- [j37]Lihua Guo, Dawu Chen, Kui Jia:
Knowledge transferred adaptive filter pruning for CNN compression and acceleration. Sci. China Inf. Sci. 65(12) (2022) - [j36]Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia:
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2775-2792 (2022) - [j35]Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia:
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2984-2999 (2022) - [j34]Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3000-3014 (2022) - [j33]Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia:
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6454-6471 (2022) - [j32]Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen:
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6517-6533 (2022) - [j31]Jiabao Lei, Kui Jia, Yi Ma:
Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10068-10086 (2022) - [j30]Hui Tang, Yaowei Wang, Kui Jia:
Unsupervised domain adaptation via distilled discriminative clustering. Pattern Recognit. 127: 108638 (2022) - [j29]Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Trans. Cybern. 52(6): 4949-4959 (2022) - [j28]Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. IEEE Trans. Image Process. 31: 5570-5584 (2022) - [c70]Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang:
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization. CVPR 2022: 8025-8035 - [c69]Shengheng Deng, Zhihao Liang, Lin Sun, Kui Jia:
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention. CVPR 2022: 8438-8447 - [c68]Hui Tang, Kui Jia:
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning. CVPR 2022: 14638-14647 - [c67]Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia:
Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks. ECCV (9) 2022: 19-34 - [c66]Hui Tang, Lin Sun, Kui Jia:
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers. ECCV (31) 2022: 330-346 - [c65]Hongyang Li, Jiehong Lin, Kui Jia:
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. ECCV (9) 2022: 369-385 - [c64]Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. ECCV (33) 2022: 728-745 - [c63]Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia:
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding. ICPR 2022: 5045-5051 - [c62]Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia:
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. IJCAI 2022: 1509-1515 - [c61]Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia:
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition. NeurIPS 2022 - [c60]Yongyi Su, Xun Xu, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. NeurIPS 2022 - [i83]Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. CoRR abs/2203.03833 (2022) - [i82]Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang:
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization. CoRR abs/2203.07740 (2022) - [i81]Shengheng Deng, Zhihao Liang, Lin Sun, Kui Jia:
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention. CoRR abs/2203.09704 (2022) - [i80]Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia:
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding. CoRR abs/2205.01006 (2022) - [i79]Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia:
Surface Reconstruction from Point Clouds: A Survey and a Benchmark. CoRR abs/2205.02413 (2022) - [i78]Yongyi Su, Xun Xu, Kui Jia:
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. CoRR abs/2205.03137 (2022) - [i77]Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia:
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. CoRR abs/2205.03536 (2022) - [i76]Zhihao Liang, Xun Xu, Shengheng Deng, Lile Cai, Tao Jiang, Kui Jia:
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving. CoRR abs/2205.07708 (2022) - [i75]Yongyi Su, Xun Xu, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. CoRR abs/2206.02721 (2022) - [i74]Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang:
Masked Surfel Prediction for Self-Supervised Point Cloud Learning. CoRR abs/2207.03111 (2022) - [i73]Wentao Tan, Pengfei Wang, Changxing Ding, Mingming Gong, Kui Jia:
Style Interleaved Learning for Generalizable Person Re-identification. CoRR abs/2207.03132 (2022) - [i72]Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia:
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks. CoRR abs/2207.05444 (2022) - [i71]Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization. CoRR abs/2208.01997 (2022) - [i70]Bin Deng, Kui Jia:
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization. CoRR abs/2208.07798 (2022) - [i69]Hongyang Li, Jiehong Lin, Kui Jia:
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. CoRR abs/2210.05232 (2022) - [i68]Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia:
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition. CoRR abs/2210.11277 (2022) - [i67]Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang:
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning. CoRR abs/2211.06841 (2022) - [i66]Jiabao Lei, Jiapeng Tang, Kui Jia:
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models. CoRR abs/2212.05993 (2022) - 2021
- [j27]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-aware convolutional neural networks. Neural Networks 143: 657-668 (2021) - [j26]Shuai Li, Kui Jia, Yuxin Wen, Tongliang Liu, Dacheng Tao:
Orthogonal Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1352-1368 (2021) - [j25]Hui Tang, Kui Jia:
Vicinal and categorical domain adaptation. Pattern Recognit. 115: 107907 (2021) - [c59]Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang:
Unsupervised Domain Adaptation of Black-Box Source Models. BMVC 2021: 147 - [c58]Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia:
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CVPR 2021: 1778-1787 - [c57]Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia:
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CVPR 2021: 3269-3278 - [c56]Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang:
Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. CVPR 2021: 6022-6031 - [c55]Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. CVPR 2021: 10256-10265 - [c54]Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. ICCV 2021: 2763-2772 - [c53]Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li:
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency. ICCV 2021: 3540-3549 - [c52]Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. ICCV 2021: 6383-6392 - [c51]Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang:
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks. ICCV 2021: 6484-6493 - [c50]Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan:
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation. ICCV 2021: 16260-16270 - [c49]Xuanxiang Lin, Ke Chen, Kui Jia:
Object Point Cloud Classification via Poly-Convolutional Architecture Search. ACM Multimedia 2021: 807-815 - [c48]Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. NeurIPS 2021: 16779-16790 - [c47]Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu:
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition. WACV 2021: 2734-2743 - [i65]Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang:
Unsupervised Domain Adaptation of Black-Box Source Models. CoRR abs/2101.02839 (2021) - [i64]Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia:
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. CoRR abs/2101.06931 (2021) - [i63]Hui Tang, Kui Jia:
Vicinal and categorical domain adaptation. CoRR abs/2103.03460 (2021) - [i62]Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li:
DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency. CoRR abs/2103.06526 (2021) - [i61]Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang:
Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. CoRR abs/2103.16341 (2021) - [i60]Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia:
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CoRR abs/2103.16397 (2021) - [i59]Bin Deng, Yabin Zhang, Hui Tang, Changxing Ding, Kui Jia:
On Universal Black-Box Domain Adaptation. CoRR abs/2104.04665 (2021) - [i58]Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang:
Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks. CoRR abs/2105.03582 (2021) - [i57]Yabin Zhang, Haojian Zhang, Bin Deng, Shuai Li, Kui Jia, Lei Zhang:
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners. CoRR abs/2106.00417 (2021) - [i56]Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang:
Gradual Domain Adaptation via Self-Training of Auxiliary Models. CoRR abs/2106.09890 (2021) - [i55]Jiabao Lei, Kui Jia, Yi Ma:
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. CoRR abs/2106.10031 (2021) - [i54]Zhuangwei Zhuang, Rong Li, Yuanqing Li, Kui Jia, Qicheng Wang, Mingkui Tan:
Perception-aware Multi-sensor Fusion for 3D LiDAR Semantic Segmentation. CoRR abs/2106.15277 (2021) - [i53]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-Aware Convolutional Neural Networks. CoRR abs/2106.15797 (2021) - [i52]Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. CoRR abs/2108.07478 (2021) - [i51]Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. CoRR abs/2108.09169 (2021) - [i50]Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao:
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification. CoRR abs/2108.09682 (2021) - [i49]Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. CoRR abs/2111.07383 (2021) - 2020
- [j24]Yabin Zhang, Kui Jia, Zhixin Wang:
Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network. IEEE Trans. Multim. 22(5): 1345-1357 (2020) - [c46]Hui Tang, Kui Jia:
Discriminative Adversarial Domain Adaptation. AAAI 2020: 5940-5947 - [c45]Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia:
Cascading Convolutional Color Constancy. AAAI 2020: 12725-12732 - [c44]Hui Tang, Ke Chen, Kui Jia:
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CVPR 2020: 8722-8732 - [c43]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. CVPR 2020: 11540-11549 - [c42]Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille:
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. ECCV (21) 2020: 68-84 - [c41]Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang:
Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation. ECCV (4) 2020: 781-797 - [c40]Jiabao Lei, Kui Jia:
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks. ICML 2020: 5789-5798 - [c39]Yuxin Wen, Shuai Li, Kui Jia:
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. ICML 2020: 10225-10235 - [c38]Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia:
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps. NeurIPS 2020 - [c37]Yao Li, Xianggang Yu, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
A Deep Learning Based Interactive Sketching System for Fashion Images Design. PG (Short Papers, Posters, and Work-in-Progress Papers) 2020: 13-18 - [i48]Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. CoRR abs/2001.04803 (2020) - [i47]Jiabao Lei, Kui Jia:
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks. CoRR abs/2002.06597 (2020) - [i46]Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia:
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. CoRR abs/2002.08681 (2020) - [i45]Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation. CoRR abs/2003.04894 (2020) - [i44]Hui Tang, Ke Chen, Kui Jia:
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CoRR abs/2003.08607 (2020) - [i43]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. CoRR abs/2003.14058 (2020) - [i42]Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang:
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation. CoRR abs/2007.07695 (2020) - [i41]Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia:
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images. CoRR abs/2008.05742 (2020) - [i40]Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia:
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR abs/2009.04660 (2020) - [i39]Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia:
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps. CoRR abs/2009.12606 (2020) - [i38]Yao Li, Xianggang Yu, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
A deep learning based interactive sketching system for fashion images design. CoRR abs/2010.04413 (2020) - [i37]Yuxin Wen, Shuai Li, Kui Jia:
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. CoRR abs/2011.07478 (2020) - [i36]Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu:
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition. CoRR abs/2011.07787 (2020) - [i35]Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen:
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering. CoRR abs/2012.04280 (2020) - [i34]Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia:
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CoRR abs/2012.07241 (2020) - [i33]Chaozheng Wu, Lin Sun, Xun Xu, Kui Jia:
Learning Category-level Shape Saliency via Deep Implicit Surface Networks. CoRR abs/2012.07290 (2020) - [i32]Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds. CoRR abs/2012.07498 (2020) - [i31]Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia:
3D Object Classification on Partial Point Clouds: A Practical Perspective. CoRR abs/2012.10042 (2020)
2010 – 2019
- 2019
- [j23]Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen:
Cumulative attribute space regression for head pose estimation and color constancy. Pattern Recognit. 87: 29-37 (2019) - [j22]Lulu Tang, Zhi-Xin Yang, Kui Jia:
Canonical Correlation Analysis Regularization: An Effective Deep Multiview Learning Baseline for RGB-D Object Recognition. IEEE Trans. Cogn. Dev. Syst. 11(1): 107-118 (2019) - [j21]Huiqun Wang, Di Huang, Kui Jia, Yunhong Wang:
Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images. IEEE Trans. Circuits Syst. Video Technol. 29(1): 93-103 (2019) - [j20]Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao:
Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers. IEEE Trans. Image Process. 28(10): 5121-5134 (2019) - [c36]Longchuan Niu, Ke Chen, Kui Jia, Jouni Mattila:
Efficient 3D Visual Perception for Robotic Rock Breaking. CASE 2019: 1124-1130 - [c35]Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong:
A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images. CVPR 2019: 4541-4550 - [c34]Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan:
Domain-Symmetric Networks for Adversarial Domain Adaptation. CVPR 2019: 5031-5040 - [c33]Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation. ICCV 2019: 2344-2353 - [c32]Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. ICCV 2019: 6658-6666 - [c31]Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia:
Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks. ICCV 2019: 9963-9972 - [c30]Kaiqi Wang, Ke Chen, Kui Jia:
Deep Cascade Generation on Point Sets. IJCAI 2019: 3726-3732 - [c29]Zhixin Wang, Kui Jia:
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal. IROS 2019: 1742-1749 - [c28]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. NeurIPS 2019: 1774-1784 - [i30]Zhixin Wang, Kui Jia:
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection. CoRR abs/1903.01864 (2019) - [i29]Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong:
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images. CoRR abs/1903.04704 (2019) - [i28]Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan:
Domain-Symmetric Networks for Adversarial Domain Adaptation. CoRR abs/1904.04663 (2019) - [i27]Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao:
BIT: Biologically Inspired Tracker. CoRR abs/1904.10411 (2019) - [i26]Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao:
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. CoRR abs/1904.11151 (2019) - [i25]Kui Jia, Shuai Li, Yuxin Wen, Tongliang Liu, Dacheng Tao:
Orthogonal Deep Neural Networks. CoRR abs/1905.05929 (2019) - [i24]Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia:
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks. CoRR abs/1909.00321 (2019) - [i23]Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. CoRR abs/1909.04332 (2019) - [i22]Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation. CoRR abs/1910.12032 (2019) - [i21]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. CoRR abs/1911.00888 (2019) - [i20]Hui Tang, Kui Jia:
Discriminative Adversarial Domain Adaptation. CoRR abs/1911.12036 (2019) - [i19]Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia:
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR abs/1912.11171 (2019) - [i18]Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia:
Cascading Convolutional Color Constancy. CoRR abs/1912.11180 (2019) - [i17]Zelin Xu, Ke Chen, Kui Jia:
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression. CoRR abs/1912.11888 (2019) - [i16]Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille:
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. CoRR abs/1912.12791 (2019) - 2018
- [c27]Junyi Pan, Jun Li, Xiaoguang Han, Kui Jia:
Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction. 3DV 2018: 719-727 - [c26]Yabin Zhang, Hui Tang, Kui Jia:
Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data. ECCV (8) 2018: 241-256 - [i15]Yabin Zhang, Kui Jia, Zhixin Wang:
Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network. CoRR abs/1806.06198 (2018) - [i14]Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kun Zhou, Kui Jia, Jiangbo Lu:
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information. CoRR abs/1806.09241 (2018) - [i13]Yabin Zhang, Hui Tang, Kui Jia:
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data. CoRR abs/1807.10916 (2018) - [i12]Kun Zhou, Jinmiao Cai, Yao Li, Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision. CoRR abs/1809.07921 (2018) - [i11]Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit-Yan Yeung, Bertram E. Shi:
Coupled Recurrent Network (CRN). CoRR abs/1812.10071 (2018) - 2017
- [j19]Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen:
Spectral attribute learning for visual regression. Pattern Recognit. 66: 74-81 (2017) - [c25]Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu:
Improving Training of Deep Neural Networks via Singular Value Bounding. CVPR 2017: 3994-4002 - [c24]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. ICCV 2017: 2166-2175 - [c23]Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao:
A Joint Intrinsic-Extrinsic Prior Model for Retinex. ICCV 2017: 4020-4029 - [i10]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. CoRR abs/1708.03958 (2017) - [i9]Bolun Cai, Xiangmin Xu, Kailing Guo, Kui Jia, Dacheng Tao:
Learning Reduced-Resolution and Super-Resolution Networks in Synch. CoRR abs/1712.00926 (2017) - 2016
- [j18]Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. Int. J. Comput. Vis. 117(2): 173-197 (2016) - [j17]Shenghua Gao, Zinan Zeng, Kui Jia, Tsung-Han Chan, Jinhui Tang:
Patch-Set-Based Representation for Alignment-Free Image Set Classification. IEEE Trans. Circuits Syst. Video Technol. 26(9): 1646-1658 (2016) - [j16]Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao:
BIT: Biologically Inspired Tracker. IEEE Trans. Image Process. 25(3): 1327-1339 (2016) - [j15]Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, Dacheng Tao:
DehazeNet: An End-to-End System for Single Image Haze Removal. IEEE Trans. Image Process. 25(11): 5187-5198 (2016) - [i8]Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, Kui Jia:
Multi-task CNN Model for Attribute Prediction. CoRR abs/1601.00400 (2016) - [i7]Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, Dacheng Tao:
DehazeNet: An End-to-End System for Single Image Haze Removal. CoRR abs/1601.07661 (2016) - [i6]Kui Jia:
Improving training of deep neural networks via Singular Value Bounding. CoRR abs/1611.06013 (2016) - [i5]Shuai Li, Kui Jia, Xiaogang Wang:
Automatic Discoveries of Physical and Semantic Concepts via Association Priors of Neuron Groups. CoRR abs/1612.09438 (2016) - 2015
- [j14]Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma:
Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition. Int. J. Comput. Vis. 111(3): 365-383 (2015) - [j13]Kui Jia, Lin Sun, Shenghua Gao, Zhan Song, Bertram E. Shi:
Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold. Neurocomputing 160: 250-260 (2015) - [j12]Jian Dong, Qiang Chen, Jiashi Feng, Kui Jia, ZhongYang Huang, Shuicheng Yan:
Looking Inside Category: Subcategory-Aware Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 25(8): 1322-1334 (2015) - [j11]Yuting Zhang, Gang Pan, Kui Jia, Minlong Lu, Yueming Wang, Zhaohui Wu:
Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters. IEEE Trans. Cybern. 45(9): 1864-1875 (2015) - [j10]Jiwen Lu, Gang Wang, Weihong Deng, Kui Jia:
Reconstruction-Based Metric Learning for Unconstrained Face Verification. IEEE Trans. Inf. Forensics Secur. 10(1): 79-89 (2015) - [j9]Shenghua Gao, Yuting Zhang, Kui Jia, Jiwen Lu, Yingying Zhang:
Single Sample Face Recognition via Learning Deep Supervised Autoencoders. IEEE Trans. Inf. Forensics Secur. 10(10): 2108-2118 (2015) - [j8]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? IEEE Trans. Image Process. 24(12): 5017-5032 (2015) - [j7]Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, Kui Jia:
Multi-Task CNN Model for Attribute Prediction. IEEE Trans. Multim. 17(11): 1949-1959 (2015) - [c22]Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. ICCV 2015: 4597-4605 - [c21]Qiaoying Huang, Xiaofeng Zhang, Kui Jia, Xishuang Han, Yunming Ye:
Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection. ICDM Workshops 2015: 1514-1521 - [c20]Qiaoying Huang, Kui Jia, Xiaofeng Zhang, Xishuang Han:
Weakly Supervised Object Class Learning Via Discriminative Subspace Models. WI-IAT (1) 2015: 229-232 - [r2]Kui Jia, Shaogang Gong:
Face Sample Quality. Encyclopedia of Biometrics 2015: 522-526 - [i4]Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma:
Robust Face Recognition by Constrained Part-based Alignment. CoRR abs/1501.04717 (2015) - [i3]Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks. CoRR abs/1510.00562 (2015) - 2014
- [j6]Tsung-Han Chan, Kui Jia, Eliot Wycoff, Yi Ma:
MMSE Design of Time and Color Multiplexing Codes. IEEE Trans. Signal Process. 62(5): 1157-1170 (2014) - [c19]Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja:
Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR 2014: 1258-1265 - [c18]Lin Sun, Kui Jia, Tsung-Han Chan, Yuqiang Fang, Gang Wang, Shuicheng Yan:
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition. CVPR 2014: 2625-2632 - [i2]Kui Jia, Tsung-Han Chan, Zinan Zeng, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. CoRR abs/1403.7877 (2014) - [i1]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? CoRR abs/1404.3606 (2014) - 2013
- [j5]Feng Zheng, Zhan Song, Ling Shao, Ronald Chung, Kui Jia, Xinyu Wu:
A semi-supervised approach for dimensionality reduction with distributional similarity. Neurocomputing 103: 210-221 (2013) - [j4]Kui Jia, Xiaogang Wang, Xiaoou Tang:
Image Transformation Based on Learning Dictionaries across Image Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 367-380 (2013) - [c17]Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma:
Learning by Associating Ambiguously Labeled Images. CVPR 2013: 708-715 - [c16]Eliot Wycoff, Tsung-Han Chan, Kui Jia, Wing-Kin Ma, Yi Ma:
A non-negative sparse promoting algorithm for high resolution hyperspectral imaging. ICASSP 2013: 1409-1413 - [c15]Qiang Zhou, Gang Wang, Kui Jia, Qi Zhao:
Learning to Share Latent Tasks for Action Recognition. ICCV 2013: 2264-2271 - 2012
- [c14]Zinan Zeng, Tsung-Han Chan, Kui Jia, Dong Xu:
Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition. ECCV (5) 2012: 325-339 - [c13]Kui Jia, Tsung-Han Chan, Yi Ma:
Robust and Practical Face Recognition via Structured Sparsity. ECCV (4) 2012: 331-344 - [c12]Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma:
Towards Optimal Design of Time and Color Multiplexing Codes. ECCV (6) 2012: 485-498 - 2011
- [c11]Kui Jia, Xiaogang Wang, Xiaoou Tang:
Optical flow estimation using learned sparse model. ICCV 2011: 2391-2398
2000 – 2009
- 2009
- [j3]Shiqi Yu, Tieniu Tan, Kaiqi Huang, Kui Jia, Xinyu Wu:
A Study on Gait-Based Gender Classification. IEEE Trans. Image Process. 18(8): 1905-1910 (2009) - [c10]Kui Jia, Wuyuan Xie:
Unsupervised Human Motion Analysis Using Automatic Label Trees. SMC 2009: 3287-3292 - [r1]Kui Jia, Shaogang Gong:
Face Sample Quality. Encyclopedia of Biometrics 2009: 373-376 - 2008
- [j2]Kui Jia, Shaogang Gong:
Generalized Face Super-Resolution. IEEE Trans. Image Process. 17(6): 873-886 (2008) - [c9]Kui Jia, Dit-Yan Yeung:
Human action recognition using Local Spatio-Temporal Discriminant Embedding. CVPR 2008 - 2006
- [j1]Kui Jia, Shaogang Gong:
Hallucinating multiple occluded face images of different resolutions. Pattern Recognit. Lett. 27(15): 1768-1775 (2006) - [c8]Kui Jia, Shaogang Gong, Alex Po Leung:
Coupling Face Registration and Super-Resolution. BMVC 2006: 449-458 - [c7]Kui Jia, Shaogang Gong:
Multi-Resolution Patch Tensor for Facial Expression Hallucination. CVPR (1) 2006: 395-402 - 2005
- [c6]Kui Jia, Shaogang Gong:
Multi-modal face image super-resolutions in tensor space. AVSS 2005: 264-269 - [c5]Kui Jia, Shaogang Gong:
Face super-resolution using multiple occluded images of different resolutions. AVSS 2005: 614-619 - [c4]Kui Jia, Shaogang Gong:
Multi-Modal Face Image Super-Resolutions in Tensor Space. BMVC 2005 - [c3]Kui Jia, Shaogang Gong:
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition. ICCV 2005: 1683-1690 - 2003
- [c2]Kui Jia, Liyanage C. De Silva:
Combined Face Detection/Recognition System for Smart Rooms. AVBPA 2003: 787-795 - [c1]Henry C. Tan, Kui Jia, Liyanage C. De Silva:
Human activities recognition by head movement using partial recurrent neural network. VCIP 2003: 2007-2014
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
