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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) - [c84]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. AAAI 2024: 15126-15135 - [c83]Jingyu Xiang, Xuanxiang Lin, Ke Chen, Kui Jia:
Adversarial Geometric Transformations of Point Clouds for Physical Attack. CVM (1) 2024: 129-151 - [c82]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 - [c81]Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia:
GS-IR: 3D Gaussian Splatting for Inverse Rendering. CVPR 2024: 21644-21653 - [c80]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 - [c79]Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia:
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CVPR 2024: 27906-27916 - [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
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