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ORCIDXiaogang Wang 0001
Xiao-Gang Wang 0001
Person information
- affiliation: Chinese University of Hong Kong, Department of Electrical Engineering, CUHK-SenseTime Joint Laboratory, Hong Kong
- affiliation (PhD 2009): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Xiaogang Wang (aka: Xiao-Gang Wang) — disambiguation page
- Xiaogang Wang 0004
![[0000-0002-4694-2023]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4694-2023")
— Harbin Institute of Technology, School of Astronautics, China - Xiaogang Wang 0005 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, China
- Xiaogang Wang 0006 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Xiaogang Wang 0007 — York University, Toronto, Canada
- Xiao-Gang Wang 0002 — Shanghai University, College of Mechanical Engineering and Automation, China (and 1 more)
- Xiao-Gang Wang 0003 — Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
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2020 – today
- 2024
[j66]Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li:
Structured Domain Adaptation With Online Relation Regularization for Unsupervised Person Re-ID. IEEE Trans. Neural Networks Learn. Syst. 35(1): 258-271 (2024)- 2023
- [j65]Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. Int. J. Comput. Vis. 131(2): 531-551 (2023) - [j64]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
3D Object Detection for Autonomous Driving: A Comprehensive Survey. Int. J. Comput. Vis. 131(8): 1909-1963 (2023) - [j63]Jianbo Liu, Junjun He, Yuanjie Zheng, Shuai Yi, Xiaogang Wang, Hongsheng Li:
A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11390-11406 (2023) - [c225]Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CVPR 2023: 2132-2141 - [c224]Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai:
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CVPR 2023: 2691-2700 - [c223]Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao:
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. CVPR 2023: 14408-14419 - [c222]Bin Liu, Fengfu Li, Xiaogang Wang, Bo Zhang, Junchi Yan:
Ternary Weight Networks. ICASSP 2023: 1-5 - [c221]Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li:
A Unified Conditional Framework for Diffusion-based Image Restoration. NeurIPS 2023 - [i175]Xiaogang Wang, Yuhang Cheng, Liang Wang, Jiangbo Lu, Kai Xu, Guoqiang Xiao:
Edge Preserving Implicit Surface Representation of Point Clouds. CoRR abs/2301.04860 (2023) - [i174]Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li:
Topology Reasoning for Driving Scenes. CoRR abs/2304.05277 (2023) - [i173]Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai:
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. CoRR abs/2305.17144 (2023) - [i172]Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu:
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. CoRR abs/2306.05423 (2023) - [i171]Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Yijin Li, Hongwei Qin, Jifeng Dai, Xiaogang Wang, Hongsheng Li:
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow. CoRR abs/2306.05442 (2023) - [i170]Mingkai Zheng, Shan You, Lang Huang, Xiu Su, Fei Wang, Chen Qian, Xiaogang Wang, Chang Xu:
CoNe: Contrast Your Neighbours for Supervised Image Classification. CoRR abs/2308.10761 (2023) - [i169]Zhongang Cai, Jianping Jiang, Zhongfei Qing, Xinying Guo, Mingyuan Zhang, Zhengyu Lin, Haiyi Mei, Chen Wei, Ruisi Wang, Wanqi Yin, Xiangyu Fan, Han Du, Liang Pan, Peng Gao, Zhitao Yang, Yang Gao, Jiaqi Li, Tianxiang Ren, Yukun Wei, Xiaogang Wang, Chen Change Loy, Lei Yang, Ziwei Liu:
Digital Life Project: Autonomous 3D Characters with Social Intelligence. CoRR abs/2312.04547 (2023) - 2022
- [j62]Dasong Li, Yi Zhang, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network. Int. J. Comput. Vis. 130(8): 2060-2080 (2022) - [j61]Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2673-2688 (2022) - [j60]Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang, Hongsheng Li:
Robust Self-Supervised LiDAR Odometry Via Representative Structure Discovery and 3D Inherent Error Modeling. IEEE Robotics Autom. Lett. 7(2): 1651-1658 (2022) - [c220]Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
IDR: Self-Supervised Image Denoising via Iterative Data Refinement. CVPR 2022: 2088-2097 - [c219]Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li:
Learning a Structured Latent Space for Unsupervised Point Cloud Completion. CVPR 2022: 5533-5543 - [c218]Wang Zeng, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang:
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer. CVPR 2022: 11091-11101 - [c217]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CVPR 2022: 11892-11901 - [c216]Yan Xu, Kwan-Yee Lin, Guofeng Zhang, Xiaogang Wang, Hongsheng Li:
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization. CVPR 2022: 14860-14870 - [c215]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu:
ViTAS: Vision Transformer Architecture Search. ECCV (21) 2022: 139-157 - [c214]Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo:
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. ECCV (34) 2022: 286-302 - [c213]Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. ECCV (35) 2022: 388-404 - [c212]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. ECCV (18) 2022: 736-753 - [c211]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization improves Vision Transformers. ICLR 2022 - [c210]Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai:
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. NeurIPS 2022 - [i168]Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang, Hongsheng Li:
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling. CoRR abs/2202.13353 (2022) - [i167]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Relational Self-Supervised Learning. CoRR abs/2203.08717 (2022) - [i166]Yan Xu, Kwan-Yee Lin, Guofeng Zhang, Xiaogang Wang, Hongsheng Li:
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization. CoRR abs/2203.12870 (2022) - [i165]Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li:
Learning a Structured Latent Space for Unsupervised Point Cloud Completion. CoRR abs/2203.15580 (2022) - [i164]Wang Zeng, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang:
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer. CoRR abs/2204.08680 (2022) - [i163]Dasong Li, Yi Zhang, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network. CoRR abs/2205.04721 (2022) - [i162]Chenxin Tao, Xizhou Zhu, Gao Huang, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CoRR abs/2206.01204 (2022) - [i161]Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai:
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. CoRR abs/2206.04674 (2022) - [i160]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
3D Object Detection for Autonomous Driving: A Review and New Outlooks. CoRR abs/2206.09474 (2022) - [i159]Dasong Li, Xiaoyu Shi, Yi Zhang, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
No Attention is Needed: Grouped Spatial-temporal Shift for Simple and Efficient Video Restorers. CoRR abs/2206.10810 (2022) - [i158]Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo:
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. CoRR abs/2207.03036 (2022) - [i157]Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang:
Pose for Everything: Towards Category-Agnostic Pose Estimation. CoRR abs/2207.10387 (2022) - [i156]Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. CoRR abs/2208.03550 (2022) - [i155]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. CoRR abs/2208.05244 (2022) - [i154]Lumin Xu, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang:
ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild. CoRR abs/2208.11547 (2022) - [i153]Zhe Wang, Hongsheng Li, Qinwei Zhang, Jing Yuan, Xiaogang Wang:
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning. CoRR abs/2209.08734 (2022) - [i152]Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao:
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. CoRR abs/2211.05778 (2022) - [i151]Jifeng Dai, Min Shi, Weiyun Wang, Sitong Wu, Linjie Xing, Wenhai Wang, Xizhou Zhu, Lewei Lu, Jie Zhou, Xiaogang Wang, Yu Qiao, Xiaowei Hu:
Demystify Transformers & Convolutions in Modern Image Deep Networks. CoRR abs/2211.05781 (2022) - [i150]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. CoRR abs/2211.09807 (2022) - [i149]Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai:
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CoRR abs/2211.09808 (2022) - 2021
- [j59]Yantao Shen, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang, Hongsheng Li:
Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1649-1665 (2021) - [j58]Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2647-2664 (2021) - [c209]Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li:
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop. CVPR 2021: 324-333 - [c208]Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu:
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation. CVPR 2021: 4176-4186 - [c207]Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin:
Visually Informed Binaural Audio Generation without Binaural Audios. CVPR 2021: 15485-15494 - [c206]Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang:
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search. CVPR 2021: 16072-16081 - [c205]Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li:
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. CVPR 2021: 16377-16386 - [c204]Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. ICCV 2021: 3133-3143 - [c203]Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. ICCV 2021: 3601-3610 - [c202]Zhaoyang Zhang, Yitong Jiang, Jun Jiang, Xiaogang Wang, Ping Luo, Jinwei Gu:
STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement. ICCV 2021: 4086-4095 - [c201]Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li:
Rethinking Noise Synthesis and Modeling in Raw Denoising. ICCV 2021: 4573-4581 - [c200]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. ICCV 2021: 10022-10031 - [c199]Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang:
Learning with Privileged Tasks. ICCV 2021: 10665-10674 - [c198]Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting. ICCV 2021: 14020-14029 - [c197]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - [c196]Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai:
Deformable DETR: Deformable Transformers for End-to-End Object Detection. ICLR 2021 - [c195]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. ICML 2021: 12546-12556 - [c194]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. NeurIPS 2021: 2543-2555 - [i148]Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. CoRR abs/2101.02843 (2021) - [i147]Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. CoRR abs/2101.07448 (2021) - [i146]Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. CoRR abs/2102.00463 (2021) - [i145]Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li:
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. CoRR abs/2103.07893 (2021) - [i144]Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang:
Fixing the Teacher-Student Knowledge Discrepancy in Distillation. CoRR abs/2103.16844 (2021) - [i143]Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li:
Semantic Scene Completion via Integrating Instances and Scene in-the-Loop. CoRR abs/2104.03640 (2021) - [i142]Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin:
Visually Informed Binaural Audio Generation without Binaural Audios. CoRR abs/2104.06162 (2021) - [i141]Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Decoupled Spatial-Temporal Transformer for Video Inpainting. CoRR abs/2104.06637 (2021) - [i140]Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu:
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation. CoRR abs/2104.11116 (2021) - [i139]Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang:
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search. CoRR abs/2105.10154 (2021) - [i138]Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Scalable Transformers for Neural Machine Translation. CoRR abs/2106.02242 (2021) - [i137]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. CoRR abs/2106.02295 (2021) - [i136]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Vision Transformer Architecture Search. CoRR abs/2106.13700 (2021) - [i135]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. CoRR abs/2107.09282 (2021) - [i134]Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. CoRR abs/2108.02404 (2021) - [i133]Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. CoRR abs/2108.08258 (2021) - [i132]Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting. CoRR abs/2109.02974 (2021) - [i131]Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li:
Rethinking Noise Synthesis and Modeling in Raw Denoising. CoRR abs/2110.04756 (2021) - [i130]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. CoRR abs/2110.04770 (2021) - [i129]Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao:
INTERN: A New Learning Paradigm Towards General Vision. CoRR abs/2111.08687 (2021) - [i128]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CoRR abs/2111.12609 (2021) - [i127]Changyao Tian, Wenhai Wang, Xizhou Zhu, Xiaogang Wang, Jifeng Dai, Yu Qiao:
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. CoRR abs/2111.13579 (2021) - [i126]Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
IDR: Self-Supervised Image Denoising via Iterative Data Refinement. CoRR abs/2111.14358 (2021) - [i125]Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Xiaogang Wang, Hongsheng Li, Xiaohua Wang, Jifeng Dai:
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. CoRR abs/2112.01522 (2021) - [i124]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization Improves Vision Transformer. CoRR abs/2112.02624 (2021) - 2020
- [j57]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. 128(2): 261-318 (2020) - [j56]Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. Int. J. Comput. Vis. 128(8): 2107-2125 (2020) - [j55]Zixuan Huang, Junming Fan, Shenggan Cheng, Shuai Yi, Xiaogang Wang, Hongsheng Li:
HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion. IEEE Trans. Image Process. 29: 3429-3441 (2020) - [c193]Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang:
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. AAAI 2020: 10478-10485 - [c192]Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan:
KPNet: Towards Minimal Face Detector. AAAI 2020: 12015-12022 - [c191]Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. CVPR 2020: 5910-5919 - [c190]Senhui Guo, Jing Xu, Dapeng Chen, Chao Zhang, Xiaogang Wang, Rui Zhao:
Density-Aware Feature Embedding for Face Clustering. CVPR 2020: 6697-6705 - [c189]Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang:
3D Human Mesh Regression With Dense Correspondence. CVPR 2020: 7052-7061 - [c188]Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. CVPR 2020: 10526-10535 - [c187]Guanglu Song, Yu Liu, Xiaogang Wang:
Revisiting the Sibling Head in Object Detector. CVPR 2020: 11560-11569 - [c186]Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li:
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching. CVPR 2020: 12754-12763 - [c185]Xiaoyi Dong, Jiangfan Han, Dongdong Chen, Jiayang Liu, Huanyu Bian, Zehua Ma, Hongsheng Li, Xiaogang Wang, Weiming Zhang, Nenghai Yu:
Robust Superpixel-Guided Attentional Adversarial Attack. CVPR 2020: 12892-12901 - [c184]Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu:
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation. ECCV (12) 2020: 52-69 - [c183]Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. ECCV (11) 2020: 89-106 - [c182]Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang:
Adapting Object Detectors with Conditional Domain Normalization. ECCV (11) 2020: 403-419 - [c181]Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. ICML 2020: 8645-8654 - [i123]Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang:
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. CoRR abs/2002.01619 (2020) - [i122]Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. CoRR abs/2003.00214 (2020) - [i121]Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang:
Adapting Object Detectors with Conditional Domain Normalization. CoRR abs/2003.07071 (2020) - [i120]Guanglu Song, Yu Liu, Xiaogang Wang:
Revisiting the Sibling Head in Object Detector. CoRR abs/2003.07540 (2020) - [i119]Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan:
KPNet: Towards Minimal Face Detector. CoRR abs/2003.07543 (2020) - [i118]Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang:
1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation. CoRR abs/2003.07557 (2020) - [i117]Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images. CoRR abs/2003.08124 (2020) - [i116]Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li:
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching. CoRR abs/2005.01927 (2020) - [i115]Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang:
3D Human Mesh Regression with Dense Correspondence. CoRR abs/2006.05734 (2020) - [i114]Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu:
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation. CoRR abs/2007.09902 (2020) - [i113]Peng Su, Shixiang Tang, Peng Gao, Di Qiu, Ni Zhao, Xiaogang Wang:
Gradient Regularized Contrastive Learning for Continual Domain Adaptation. CoRR abs/2007.12942 (2020) - [i112]Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. CoRR abs/2008.01576 (2020) - [i111]Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai:
Deformable DETR: Deformable Transformers for End-to-End Object Detection. CoRR abs/2010.04159 (2020) - [i110]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. CoRR abs/2010.07930 (2020) - [i109]Minghang Zheng, Peng Gao, Xiaogang Wang, Hongsheng Li, Hao Dong:
End-to-End Object Detection with Adaptive Clustering Transformer. CoRR abs/2011.09315 (2020) - [i108]Jianbo Liu, Sijie Ren, Yuanjie Zheng, Xiaogang Wang, Hongsheng Li:
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection. CoRR abs/2012.10162 (2020)
2010 – 2019
- 2019
- [j54]Xiaogang Wang, Xiyu Liu, Yu Liu:
An incremental model transfer method for complex process fault diagnosis. IEEE CAA J. Autom. Sinica 6(5): 1268-1280 (2019) - [j53]Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang:
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection. Int. J. Comput. Vis. 127(3): 225-238 (2019) - [j52]Ernest Cheung, Anson Wong, Aniket Bera, Xiaogang Wang, Dinesh Manocha:
LCrowdV: Generating labeled videos for pedestrian detectors training and crowd behavior learning. Neurocomputing 337: 1-14 (2019) - [j51]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1426-1440 (2019) - [j50]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1947-1962 (2019) - [j49]Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa:
Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2287-2290 (2019) - [j48]Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin:
Progressively diffused networks for semantic visual parsing. Pattern Recognit. 90: 78-86 (2019) - [j47]Hui Zhou, Wanli Ouyang, Jian Cheng, Xiaogang Wang, Hongsheng Li:
Deep Continuous Conditional Random Fields With Asymmetric Inter-Object Constraints for Online Multi-Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1011-1022 (2019) - [j46]Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin:
SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification. IEEE Trans. Image Process. 28(10): 4870-4882 (2019) - [c180]Buyu Li, Yu Liu, Xiaogang Wang:
Gradient Harmonized Single-Stage Detector. AAAI 2019: 8577-8584 - [c179]Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song:
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize. AAAI 2019: 8706-8713 - [c178]Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang:
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. AAAI 2019: 9299-9306 - [c177]Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang:
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CVPR 2019: 1-10 - [c176]Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. CVPR 2019: 443-451 - [c175]Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. CVPR 2019: 770-779 - [c174]Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang:
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. CVPR 2019: 1019-1028 - [c173]Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li:
Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing. CVPR 2019: 1950-1959 - [c172]Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao:
Semantics Disentangling for Text-To-Image Generation. CVPR 2019: 2327-2336 - [c171]Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li:
Group-Wise Correlation Stereo Network. CVPR 2019: 3273-3282 - [c170]Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Video Generation From Single Semantic Label Map. CVPR 2019: 3733-3742 - [c169]Yuying Ge, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Ping Luo:
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images. CVPR 2019: 5337-5345 - [c168]Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao:
Context and Attribute Grounded Dense Captioning. CVPR 2019: 6241-6250 - [c167]Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li:
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. CVPR 2019: 6639-6648 - [c166]Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li:
Conditional Adversarial Generative Flow for Controllable Image Synthesis. CVPR 2019: 7992-8001 - [c165]Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
P2SGrad: Refined Gradients for Optimizing Deep Face Models. CVPR 2019: 9906-9914 - [c164]Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations. CVPR 2019: 10823-10832 - [c163]Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang:
Vision-Infused Deep Audio Inpainting. ICCV 2019: 283-292 - [c162]Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. ICCV 2019: 1578-1587 - [c161]Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo:
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. ICCV 2019: 3541-3550 - [c160]Lu Sheng, Dan Xu, Wanli Ouyang, Xiaogang Wang:
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM. ICCV 2019: 4301-4310 - [c159]Jiangfan Han, Ping Luo, Xiaogang Wang:
Deep Self-Learning From Noisy Labels. ICCV 2019: 5137-5146 - [c158]Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang:
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. ICCV 2019: 5157-5166 - [c157]Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao:
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. ICCV 2019: 5763-5772 - [c156]Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li:
Multi-Modality Latent Interaction Network for Visual Question Answering. ICCV 2019: 5824-5834 - [c155]Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang:
Feature Intertwiner for Object Detection. ICLR (Poster) 2019 - [c154]Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li:
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis. NeurIPS 2019: 568-578 - [i107]Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo:
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images. CoRR abs/1901.07973 (2019) - [i106]Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li:
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing. CoRR abs/1903.00839 (2019) - [i105]Lu Sheng, Junting Pan, Jiaming Guo, Jing Shao, Xiaogang Wang, Chen Change Loy:
Unsupervised Bi-directional Flow-based Video Generation from one Snapshot. CoRR abs/1903.00913 (2019) - [i104]Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song:
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize. CoRR abs/1903.01078 (2019) - [i103]Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. CoRR abs/1903.03793 (2019) - [i102]Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li:
Group-wise Correlation Stereo Network. CoRR abs/1903.04025 (2019) - [i101]Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Video Generation from Single Semantic Label Map. CoRR abs/1903.04480 (2019) - [i100]Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. CoRR abs/1903.08839 (2019) - [i99]Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang:
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. CoRR abs/1903.10955 (2019) - [i98]Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang:
Feature Intertwiner for Object Detection. CoRR abs/1903.11851 (2019) - [i97]Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao:
Context and Attribute Grounded Dense Captioning. CoRR abs/1904.01410 (2019) - [i96]Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao:
Semantics Disentangling for Text-to-Image Generation. CoRR abs/1904.01480 (2019) - [i95]Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li:
Conditional Adversarial Generative Flow for Controllable Image Synthesis. CoRR abs/1904.01782 (2019) - [i94]Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations. CoRR abs/1905.00292 (2019) - [i93]Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
P2SGrad: Refined Gradients for Optimizing Deep Face Models. CoRR abs/1905.02479 (2019) - [i92]Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang:
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CoRR abs/1905.11116 (2019) - [i91]Shaoshuai Shi, Zhe Wang, Xiaogang Wang, Hongsheng Li:
Part-A2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. CoRR abs/1907.03670 (2019) - [i90]Jiangfan Han, Ping Luo, Xiaogang Wang:
Deep Self-Learning From Noisy Labels. CoRR abs/1908.02160 (2019) - [i89]Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li:
Multi-modality Latent Interaction Network for Visual Question Answering. CoRR abs/1908.04289 (2019) - [i88]Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. CoRR abs/1908.04512 (2019) - [i87]Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang:
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. CoRR abs/1908.05185 (2019) - [i86]Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo:
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. CoRR abs/1908.05867 (2019) - [i85]Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao:
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. CoRR abs/1909.05506 (2019) - [i84]Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li:
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis. CoRR abs/1910.06809 (2019) - [i83]Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang:
Vision-Infused Deep Audio Inpainting. CoRR abs/1910.10997 (2019) - [i82]Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. CoRR abs/1912.13192 (2019) - 2018
- [j45]Wanli Ouyang, Hui Zhou, Hongsheng Li, Quanquan Li, Junjie Yan, Xiaogang Wang:
Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1874-1887 (2018) - [j44]Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang:
Crafting GBD-Net for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2109-2123 (2018) - [j43]Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 35(1): 17-19 (2018) - [j42]Feng Zhu, Xiaogang Wang, Nenghai Yu:
Crowd Tracking by Group Structure Evolution. IEEE Trans. Circuits Syst. Video Technol. 28(3): 772-786 (2018) - [j41]Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang, Wanli Ouyang:
T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2896-2907 (2018) - [j40]Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li:
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2450-2463 (2018) - [c153]Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang:
Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. AAAI 2018: 7218-7225 - [c152]Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Spatial as Deep: Spatial CNN for Traffic Scene Understanding. AAAI 2018: 7276-7283 - [c151]Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. CVPR 2018: 675-684 - [c150]Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang, Xiaoou Tang:
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis. CVPR 2018: 821-830 - [c149]Dapeng Chen, Hongsheng Li, Tong Xiao, Shuai Yi, Xiaogang Wang:
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding. CVPR 2018: 1169-1178 - [c148]Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Exploring Disentangled Feature Representation Beyond Face Identification. CVPR 2018: 2080-2089 - [c147]Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Deep Group-Shuffling Random Walk for Person Re-Identification. CVPR 2018: 2265-2274 - [c146]Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy S. J. Ren, Hongsheng Li, Xiaogang Wang:
3D Human Pose Estimation in the Wild by Adversarial Learning. CVPR 2018: 5255-5264 - [c145]Maoqing Tian, Shuai Yi, Hongsheng Li, Shihua Li, Xuesen Zhang, Jianping Shi, Junjie Yan, Xiaogang Wang:
Eliminating Background-Bias for Robust Person Re-Identification. CVPR 2018: 5794-5803 - [c144]Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, Ming Zhou:
Visual Question Generation as Dual Task of Visual Question Answering. CVPR 2018: 6116-6124 - [c143]Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang:
End-to-End Deep Kronecker-Product Matching for Person Re-Identification. CVPR 2018: 6886-6895 - [c142]Lu Sheng, Ziyi Lin, Jing Shao, Xiaogang Wang:
Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration. CVPR 2018: 8242-8250 - [c141]Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang:
Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. CVPR 2018: 8649-8658 - [c140]Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Jing Shao, Zejian Yuan, Xiaogang Wang:
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association. ECCV (16) 2018: 56-73 - [c139]Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang:
Transductive Centroid Projection for Semi-supervised Large-Scale Recognition. ECCV (5) 2018: 72-89 - [c138]Hongyang Li, Xiaoyang Guo, Bo Dai, Wanli Ouyang, Xiaogang Wang:
Neural Network Encapsulation. ECCV (11) 2018: 266-282 - [c137]Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy:
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition. ECCV (3) 2018: 330-347 - [c136]Yikang Li, Wanli Ouyang, Bolei Zhou, Jianping Shi, Chao Zhang, Xiaogang Wang:
Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation. ECCV (1) 2018: 346-363 - [c135]Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang:
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data. ECCV (15) 2018: 353-369 - [c134]Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. ECCV (1) 2018: 485-501 - [c133]Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy S. J. Ren, Xiaogang Wang:
Learning Monocular Depth by Distilling Cross-Domain Stereo Networks. ECCV (11) 2018: 506-523 - [c132]Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Person Re-identification with Deep Similarity-Guided Graph Neural Network. ECCV (15) 2018: 508-526 - [c131]Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li:
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification. NeurIPS 2018: 1230-1241 - [i81]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. CoRR abs/1801.00524 (2018) - [i80]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks. CoRR abs/1803.00891 (2018) - [i79]Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang:
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data. CoRR abs/1803.08314 (2018) - [i78]Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy S. J. Ren, Hongsheng Li, Xiaogang Wang:
3D Human Pose Estimation in the Wild by Adversarial Learning. CoRR abs/1803.09722 (2018) - [i77]Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Exploring Disentangled Feature Representation Beyond Face Identification. CoRR abs/1804.03487 (2018) - [i76]Zhe Wang, Hongsheng Li, Wanli Ouyang, Xiaogang Wang:
Learnable Histogram: Statistical Context Features for Deep Neural Networks. CoRR abs/1804.09398 (2018) - [i75]Lu Sheng, Ziyi Lin, Jing Shao, Xiaogang Wang:
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration. CoRR abs/1805.03857 (2018) - [i74]Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. CoRR abs/1805.04409 (2018) - [i73]Hui Zhou, Wanli Ouyang, Jian Cheng, Xiaogang Wang, Hongsheng Li:
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking. CoRR abs/1806.01183 (2018) - [i72]Yikang Li, Wanli Ouyang, Bolei Zhou, Yawen Cui, Jianping Shi, Xiaogang Wang:
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation. CoRR abs/1806.11538 (2018) - [i71]Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy:
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition. CoRR abs/1807.04979 (2018) - [i70]Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang:
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification. CoRR abs/1807.05688 (2018) - [i69]Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang:
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. CoRR abs/1807.07860 (2018) - [i68]Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Person Re-identification with Deep Similarity-Guided Graph Neural Network. CoRR abs/1807.09975 (2018) - [i67]Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Deep Group-shuffling Random Walk for Person Re-identification. CoRR abs/1807.11178 (2018) - [i66]Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang:
End-to-End Deep Kronecker-Product Matching for Person Re-identification. CoRR abs/1807.11182 (2018) - [i65]Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Zejian Yuan, Xiaogang Wang:
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association. CoRR abs/1808.01571 (2018) - [i64]Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. CoRR abs/1808.02632 (2018) - [i63]Hongyang Li, Xiaoyang Guo, Bo Dai, Wanli Ouyang, Xiaogang Wang:
Neural Network Encapsulation. CoRR abs/1808.03749 (2018) - [i62]Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy S. J. Ren, Xiaogang Wang:
Learning Monocular Depth by Distilling Cross-domain Stereo Networks. CoRR abs/1808.06586 (2018) - [i61]Zixuan Huang, Junming Fan, Shuai Yi, Xiaogang Wang, Hongsheng Li:
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion. CoRR abs/1808.08685 (2018) - [i60]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. CoRR abs/1809.02165 (2018) - [i59]Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li:
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification. CoRR abs/1810.02936 (2018) - [i58]Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud. CoRR abs/1812.04244 (2018) - [i57]Peng Gao, Hongsheng Li, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven C. H. Hoi, Xiaogang Wang:
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering. CoRR abs/1812.05252 (2018) - 2017
- [j39]Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille:
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [j38]Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, Tieniu Tan:
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 209-226 (2017) - [j37]Rui Zhao, Wanli Ouyang, Xiaogang Wang:
Person Re-Identification by Saliency Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 356-370 (2017) - [j36]Shuai Yi, Xiaogang Wang, Cewu Lu, Jiaya Jia, Hongsheng Li:
L0 Regularized Stationary-Time Estimation for Crowd Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 981-994 (2017) - [j35]Wanli Ouyang, Xingyu Zeng, Xiaogang Wang, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Hongyang Li, Kun Wang, Junjie Yan, Chen Change Loy, Xiaoou Tang:
DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1320-1334 (2017) - [j34]Li Liu, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Local binary features for texture classification: Taxonomy and experimental study. Pattern Recognit. 62: 135-160 (2017) - [j33]Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding [From the Guest Editors]. IEEE Signal Process. Mag. 34(6): 24-25 (2017) - [j32]Jing Shao, Chen Change Loy, Kai Kang, Xiaogang Wang:
Crowded Scene Understanding by Deeply Learned Volumetric Slices. IEEE Trans. Circuits Syst. Video Technol. 27(3): 613-623 (2017) - [j31]Jing Shao, Chen Change Loy, Xiaogang Wang:
Learning Scene-Independent Group Descriptors for Crowd Understanding. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1290-1303 (2017) - [j30]Jingwei Guan, Shuai Yi, Xingyu Zeng, Wai-Kuen Cham, Xiaogang Wang:
Visual Importance and Distortion Guided Deep Image Quality Assessment Framework. IEEE Trans. Multim. 19(11): 2505-2520 (2017) - [c130]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. CVPR 2017: 161-169 - [c129]Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang:
Object Detection in Videos with Tubelet Proposal Networks. CVPR 2017: 889-897 - [c128]Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang:
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. CVPR 2017: 907-915 - [c127]Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang:
Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification. CVPR 2017: 2027-2036 - [c126]Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang:
Joint Detection and Identification Feature Learning for Person Search. CVPR 2017: 3376-3385 - [c125]Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. CVPR 2017: 4236-4244 - [c124]Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang:
Person Search with Natural Language Description. CVPR 2017: 5187-5196 - [c123]Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang:
Learning Object Interactions and Descriptions for Semantic Image Segmentation. CVPR 2017: 5235-5243 - [c122]Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang:
Multi-context Attention for Human Pose Estimation. CVPR 2017: 5669-5678 - [c121]Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang:
Residual Attention Network for Image Classification. CVPR 2017: 6450-6458 - [c120]Yikang Li, Wanli Ouyang, Xiaogang Wang, Xiaoou Tang:
ViP-CNN: Visual Phrase Guided Convolutional Neural Network. CVPR 2017: 7244-7253 - [c119]Xihui Liu, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, Xiaogang Wang:
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis. ICCV 2017: 350-359 - [c118]Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang:
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. ICCV 2017: 379-387 - [c117]Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang:
Recurrent Scale Approximation for Object Detection in CNN. ICCV 2017: 571-579 - [c116]Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, Xiaogang Wang:
Scene Graph Generation from Objects, Phrases and Region Captions. ICCV 2017: 1270-1279 - [c115]Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Learning Feature Pyramids for Human Pose Estimation. ICCV 2017: 1290-1299 - [c114]Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang:
Identity-Aware Textual-Visual Matching with Latent Co-attention. ICCV 2017: 1908-1917 - [c113]Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang:
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals. ICCV 2017: 1918-1927 - [c112]Wanli Ouyang, Kun Wang, Xin Zhu, Xiaogang Wang:
Chained Cascade Network for Object Detection. ICCV 2017: 1956-1964 - [c111]Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang:
Deep Dual Learning for Semantic Image Segmentation. ICCV 2017: 2737-2745 - [c110]Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, Nenghai Yu:
Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism. ICCV 2017: 4846-4855 - [c109]Zhe Wang, Yanxin Yin, Jianping Shi, Wei Fang, Hongsheng Li, Xiaogang Wang:
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection. MICCAI (3) 2017: 267-275 - [c108]Sijie Yan, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang:
Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks. ACM Multimedia 2017: 172-180 - [c107]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. NIPS 2017: 3961-3970 - [p2]Xiaogang Wang, Chen Change Loy:
Deep Learning for Scene-Independent Crowd Analysis. Group and Crowd Behavior for Computer Vision 2017: 209-252 - [i56]Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang:
Zoom Out-and-In Network with Recursive Training for Object Proposal. CoRR abs/1702.05711 (2017) - [i55]Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang:
Person Search with Natural Language Description. CoRR abs/1702.05729 (2017) - [i54]Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin:
Progressively Diffused Networks for Semantic Image Segmentation. CoRR abs/1702.05839 (2017) - [i53]Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang:
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification. CoRR abs/1702.05891 (2017) - [i52]Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang:
Object Detection in Videos with Tubelet Proposal Networks. CoRR abs/1702.06355 (2017) - [i51]Yu Liu, Hongyang Li, Xiaogang Wang:
Learning Deep Features via Congenerous Cosine Loss for Person Recognition. CoRR abs/1702.06890 (2017) - [i50]Wanli Ouyang, Ku Wang, Xin Zhu, Xiaogang Wang:
Learning Chained Deep Features and Classifiers for Cascade in Object Detection. CoRR abs/1702.07054 (2017) - [i49]Yikang Li, Wanli Ouyang, Xiaogang Wang:
ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection. CoRR abs/1702.07191 (2017) - [i48]Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang:
Multi-Context Attention for Human Pose Estimation. CoRR abs/1702.07432 (2017) - [i47]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. CoRR abs/1704.02157 (2017) - [i46]Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. CoRR abs/1704.02431 (2017) - [i45]Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang:
Residual Attention Network for Image Classification. CoRR abs/1704.06904 (2017) - [i44]Zhe Wang, Hongsheng Li, Wanli Ouyang, Xiaogang Wang:
Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision. CoRR abs/1706.02493 (2017) - [i43]Zhe Wang, Yanxin Yin, Jianping Shi, Wei Fang, Hongsheng Li, Xiaogang Wang:
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection. CoRR abs/1706.04372 (2017) - [i42]Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang:
Recurrent Scale Approximation for Object Detection in CNN. CoRR abs/1707.09531 (2017) - [i41]Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, Xiaogang Wang:
Scene Graph Generation from Objects, Phrases and Caption Regions. CoRR abs/1707.09700 (2017) - [i40]Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Learning Feature Pyramids for Human Pose Estimation. CoRR abs/1708.01101 (2017) - [i39]Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang:
Identity-Aware Textual-Visual Matching with Latent Co-attention. CoRR abs/1708.01988 (2017) - [i38]Sijie Yan, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang:
Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks. CoRR abs/1708.02044 (2017) - [i37]Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, Nenghai Yu:
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism. CoRR abs/1708.02843 (2017) - [i36]Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang:
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals. CoRR abs/1708.03918 (2017) - [i35]Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang:
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection. CoRR abs/1709.04347 (2017) - [i34]Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang:
Visual Question Generation as Dual Task of Visual Question Answering. CoRR abs/1709.07192 (2017) - [i33]Xihui Liu, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, Xiaogang Wang:
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis. CoRR abs/1709.09930 (2017) - [i32]Yu Liu, Hongyang Li, Xiaogang Wang:
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition. CoRR abs/1710.00870 (2017) - [i31]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR abs/1710.10916 (2017) - [i30]Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang:
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering. CoRR abs/1711.06794 (2017) - [i29]Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Spatial As Deep: Spatial CNN for Traffic Scene Understanding. CoRR abs/1712.06080 (2017) - 2016
- [j29]Wanli Ouyang, Xingyu Zeng, Xiaogang Wang:
Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model. Int. J. Comput. Vis. 120(1): 14-27 (2016) - [j28]Zhe Wang, Hongsheng Li, Qinwei Zhang, Jing Yuan, Xiaogang Wang:
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning. Neurocomputing 174: 560-570 (2016) - [j27]Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang:
A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution. Image Vis. Comput. 56: 28-48 (2016) - [j26]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Hybrid Deep Learning for Face Verification. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 1997-2009 (2016) - [j25]Wanli Ouyang, Xingyu Zeng, Xiaogang Wang:
Partial Occlusion Handling in Pedestrian Detection With a Deep Model. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2123-2137 (2016) - [j24]Li Liu, Songyang Lao, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Median Robust Extended Local Binary Pattern for Texture Classification. IEEE Trans. Image Process. 25(3): 1368-1381 (2016) - [j23]Shuai Yi, Hongsheng Li, Xiaogang Wang:
Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance. IEEE Trans. Image Process. 25(9): 4354-4368 (2016) - [j22]Cong Zhang, Kai Kang, Hongsheng Li, Xiaogang Wang, Rong Xie, Xiaokang Yang:
Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset. IEEE Trans. Multim. 18(6): 1048-1061 (2016) - [j21]Xixuan Wu, Yu Qiao, Xiaogang Wang, Xiaoou Tang:
Bridging Music and Image via Cross-Modal Ranking Analysis. IEEE Trans. Multim. 18(7): 1305-1318 (2016) - [j20]Wenxi Liu, Rynson W. H. Lau, Xiaogang Wang, Dinesh Manocha:
Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories. IEEE Trans. Multim. 18(12): 2398-2406 (2016) - [c106]Ping Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang:
Face Model Compression by Distilling Knowledge from Neurons. AAAI 2016: 3560-3566 - [c105]Kai Kang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Object Detection from Video Tubelets with Convolutional Neural Networks. CVPR 2016: 817-825 - [c104]Wanli Ouyang, Xiaogang Wang, Cong Zhang, Xiaokang Yang:
Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution. CVPR 2016: 864-873 - [c103]Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang:
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations. CVPR 2016: 1096-1104 - [c102]Tong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang:
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification. CVPR 2016: 1249-1258 - [c101]Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu:
STCT: Sequentially Training Convolutional Networks for Visual Tracking. CVPR 2016: 1373-1381 - [c100]Wei Yang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation. CVPR 2016: 3073-3082 - [c99]Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Structured Feature Learning for Pose Estimation. CVPR 2016: 4715-4723 - [c98]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Sparsifying Neural Network Connections for Face Recognition. CVPR 2016: 4856-4864 - [c97]Jing Shao, Chen Change Loy, Kai Kang, Xiaogang Wang:
Slicing Convolutional Neural Network for Crowd Video Understanding. CVPR 2016: 5620-5628 - [c96]Li Liu, Paul W. Fieguth, Xiaogang Wang, Matti Pietikäinen, Dewen Hu:
Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark. ECCV (3) 2016: 69-86 - [c95]Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Fashion Landmark Detection in the Wild. ECCV (2) 2016: 229-245 - [c94]Zhe Wang, Hongsheng Li, Wanli Ouyang, Xiaogang Wang:
Learnable Histogram: Statistical Context Features for Deep Neural Networks. ECCV (1) 2016: 246-262 - [c93]Shuai Yi, Hongsheng Li, Xiaogang Wang:
Pedestrian Behavior Understanding and Prediction with Deep Neural Networks. ECCV (1) 2016: 263-279 - [c92]Xingyu Zeng, Wanli Ouyang, Bin Yang, Junjie Yan, Xiaogang Wang:
Gated Bi-directional CNN for Object Detection. ECCV (7) 2016: 354-369 - [c91]Ernest Cheung, Tsan Kwong Wong, Aniket Bera, Xiaogang Wang, Dinesh Manocha:
LCrowdV: Generating Labeled Videos for Simulation-Based Crowd Behavior Learning. ECCV Workshops (2) 2016: 709-727 - [c90]Zhuoyi Zhao, Hongsheng Li, Rui Zhao, Xiaogang Wang:
Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks. ECCV (8) 2016: 712-726 - [c89]Hongyang Li, Wanli Ouyang, Xiaogang Wang:
Multi-Bias Non-linear Activation in Deep Neural Networks. ICML 2016: 221-229 - [c88]Xavier Alameda-Pineda, Timothy M. Hospedales, Elisa Ricci, Nicu Sebe, Xiaogang Wang:
Emerging Topics in Learning from Noisy and Missing Data. ACM Multimedia 2016: 1469-1470 - [c87]Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
CRF-CNN: Modeling Structured Information in Human Pose Estimation. NIPS 2016: 316-324 - [c86]Zhengzhe Liu, Fuyang Huang, Gladys Wai Lan Tang, Felix Yim Binh Sze, Jing Qin, Xiaogang Wang, Qiang Xu:
Real-time Sign Language Recognition with Guided Deep Convolutional Neural Networks. SUI 2016: 187 - [c85]Cheng Tai, Tong Xiao, Xiaogang Wang, Weinan E:
Convolutional neural networks with low-rank regularization. ICLR (Poster) 2016 - [i28]Wanli Ouyang, Xiaogang Wang, Cong Zhang, Xiaokang Yang:
Factors in Finetuning Deep Model for object detection. CoRR abs/1601.05150 (2016) - [i27]Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Structured Feature Learning for Pose Estimation. CoRR abs/1603.09065 (2016) - [i26]Wenxi Liu, Rynson W. H. Lau, Xiaogang Wang, Dinesh Manocha:
Exemplar-AMMs: Recognizing Crowd Movements from Pedestrian Trajectories. CoRR abs/1603.09454 (2016) - [i25]Hongyang Li, Wanli Ouyang, Xiaogang Wang:
Multi-Bias Non-linear Activation in Deep Neural Networks. CoRR abs/1604.00676 (2016) - [i24]Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang:
End-to-End Deep Learning for Person Search. CoRR abs/1604.01850 (2016) - [i23]Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang, Wanli Ouyang:
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos. CoRR abs/1604.02532 (2016) - [i22]Kai Kang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Object Detection from Video Tubelets with Convolutional Neural Networks. CoRR abs/1604.04053 (2016) - [i21]Tong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang:
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification. CoRR abs/1604.07528 (2016) - [i20]Ernest Cheung, Tsan Kwong Wong, Aniket Bera, Xiaogang Wang, Dinesh Manocha:
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning. CoRR abs/1606.08998 (2016) - [i19]Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Fashion Landmark Detection in the Wild. CoRR abs/1608.03049 (2016) - [i18]Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang:
Crafting GBD-Net for Object Detection. CoRR abs/1610.02579 (2016) - [i17]Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
CRF-CNN: Modeling Structured Information in Human Pose Estimation. CoRR abs/1611.00468 (2016) - [i16]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, Dimitris N. Metaxas:
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR abs/1612.03242 (2016) - 2015
- [j19]Bolei Zhou, Xiaoou Tang, Xiaogang Wang:
Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents. Int. J. Comput. Vis. 111(1): 50-68 (2015) - [j18]Wanli Ouyang, Xingyu Zeng, Xiaogang Wang:
Single-Pedestrian Detection Aided by Two-Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1875-1889 (2015) - [c84]Cong Zhang, Hongsheng Li, Xiaogang Wang, Xiaokang Yang:
Cross-scene crowd counting via deep convolutional neural networks. CVPR 2015: 833-841 - [c83]Rui Zhao, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Saliency detection by multi-context deep learning. CVPR 2015: 1265-1274 - [c82]Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen Change Loy, Xiaoou Tang:
DeepID-Net: Deformable deep convolutional neural networks for object detection. CVPR 2015: 2403-2412 - [c81]Tong Xiao, Tian Xia, Yi Yang, Chang Huang, Xiaogang Wang:
Learning from massive noisy labeled data for image classification. CVPR 2015: 2691-2699 - [c80]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Deeply learned face representations are sparse, selective, and robust. CVPR 2015: 2892-2900 - [c79]Shuai Yi, Hongsheng Li, Xiaogang Wang:
Understanding pedestrian behaviors from stationary crowd groups. CVPR 2015: 3488-3496 - [c78]Jing Shao, Kai Kang, Chen Change Loy, Xiaogang Wang:
Deeply learned attributes for crowded scene understanding. CVPR 2015: 4657-4666 - [c77]Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Pedestrian detection aided by deep learning semantic tasks. CVPR 2015: 5079-5087 - [c76]Wanli Ouyang, Hongyang Li, Xingyu Zeng, Xiaogang Wang:
Learning Deep Representation with Large-Scale Attributes. ICCV 2015: 1895-1903 - [c75]Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Strong Parts for Pedestrian Detection. ICCV 2015: 1904-1912 - [c74]Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu:
Visual Tracking with Fully Convolutional Networks. ICCV 2015: 3119-3127 - [c73]Shuai Yi, Hongsheng Li, Xiaogang Wang:
Pedestrian Travel Time Estimation in Crowded Scenes. ICCV 2015: 3137-3145 - [c72]Xiao Chu, Wanli Ouyang, Wei Yang, Xiaogang Wang:
Multi-task Recurrent Neural Network for Immediacy Prediction. ICCV 2015: 3352-3360 - [c71]Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Face Attributes in the Wild. ICCV 2015: 3730-3738 - [i15]Yi Sun, Ding Liang, Xiaogang Wang, Xiaoou Tang:
DeepID3: Face Recognition with Very Deep Neural Networks. CoRR abs/1502.00873 (2015) - [i14]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Sparsifying Neural Network Connections for Face Recognition. CoRR abs/1512.01891 (2015) - [i13]Xingyu Zeng, Wanli Ouyang, Xiaogang Wang:
Window-Object Relationship Guided Representation Learning for Generic Object Detections. CoRR abs/1512.02736 (2015) - 2014
- [j17]Xiaogang Wang, Meng Wang, Wei Li:
Scene-Specific Pedestrian Detection for Static Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 361-374 (2014) - [j16]Xiaogang Wang, Shi Qiu, Ke Liu, Xiaoou Tang:
Web Image Re-Ranking UsingQuery-Specific Semantic Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 810-823 (2014) - [j15]Bolei Zhou, Xiaoou Tang, Hepeng Zhang, Xiaogang Wang:
Measuring Crowd Collectiveness. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1586-1599 (2014) - [c70]Jianfeng Wang, Chiu-sing Choy, Tak Lon Chao, Ko-Chun Kit, Kong-Pang Pun, Wanli Ouyang, Xiao-Gang Wang:
Simplifying HOG arithmetic for speedy hardware realization. APCCAS 2014: 61-64 - [c69]Rui Zhao, Wanli Ouyang, Xiaogang Wang:
Learning Mid-level Filters for Person Re-identification. CVPR 2014: 144-151 - [c68]Wei Li, Rui Zhao, Tong Xiao, Xiaogang Wang:
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification. CVPR 2014: 152-159 - [c67]Ping Luo, Yonglong Tian, Xiaogang Wang, Xiaoou Tang:
Switchable Deep Network for Pedestrian Detection. CVPR 2014: 899-906 - [c66]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Deep Learning Face Representation from Predicting 10, 000 Classes. CVPR 2014: 1891-1898 - [c65]Shuai Yi, Xiaogang Wang, Cewu Lu, Jiaya Jia:
L0 Regularized Stationary Time Estimation for Crowd Group Analysis. CVPR 2014: 2219-2226 - [c64]Jing Shao, Chen Change Loy, Xiaogang Wang:
Scene-Independent Group Profiling in Crowd. CVPR 2014: 2227-2234 - [c63]Wanli Ouyang, Xiao Chu, Xiaogang Wang:
Multi-source Deep Learning for Human Pose Estimation. CVPR 2014: 2337-2344 - [c62]Feng Zhu, Xiaogang Wang, Nenghai Yu:
Crowd Tracking with Dynamic Evolution of Group Structures. ECCV (6) 2014: 139-154 - [c61]Xingyu Zeng, Wanli Ouyang, Meng Wang, Xiaogang Wang:
Deep Learning of Scene-Specific Classifier for Pedestrian Detection. ECCV (3) 2014: 472-487 - [c60]Shuai Yi, Xiaogang Wang:
Profiling stationary crowd groups. ICME 2014: 1-6 - [c59]Zhe Wang, Qinwei Zhang, Jing Yuan, Xiaogang Wang:
MRF denoising with compressed sensing and adaptive filtering. ISBI 2014: 870-873 - [c58]Bing Xu, Xiaogang Wang, Xiaoou Tang:
Fusing Music and Video Modalities Using Multi-timescale Shared Representations. ACM Multimedia 2014: 1073-1076 - [c57]Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations. NIPS 2014: 217-225 - [c56]Yi Sun, Yuheng Chen, Xiaogang Wang, Xiaoou Tang:
Deep Learning Face Representation by Joint Identification-Verification. NIPS 2014: 1988-1996 - [c55]Fuyang Huang, Zelong Sun, Qiang Xu, Felix Yim Binh Sze, Tang Wai Lan, Xiaogang Wang:
Real-time sign language recognition using RGBD stream: spatial-temporal feature exploration. SUI 2014: 149 - [p1]Xiaogang Wang, Rui Zhao:
Person Re-identification: System Design and Evaluation Overview. Person Re-Identification 2014: 351-370 - [i12]Zhe Wang, Qinwei Zhang, Jing Yuan, Xiaogang Wang:
MRF denoising with compressed sensing and adaptive filtering. CoRR abs/1401.0670 (2014) - [i11]Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Recover Canonical-View Faces in the Wild with Deep Neural Networks. CoRR abs/1404.3543 (2014) - [i10]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Deep Learning Face Representation by Joint Identification-Verification. CoRR abs/1406.4773 (2014) - [i9]Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Multi-View Representation for Face Recognition. CoRR abs/1406.6947 (2014) - [i8]Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Yuanjun Xiong, Chen Qian, Zhenyao Zhu, Ruohui Wang, Chen Change Loy, Xiaogang Wang, Xiaoou Tang:
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection. CoRR abs/1409.3505 (2014) - [i7]Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Face Attributes in the Wild. CoRR abs/1411.7766 (2014) - [i6]Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Pedestrian Detection aided by Deep Learning Semantic Tasks. CoRR abs/1412.0069 (2014) - [i5]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Deeply learned face representations are sparse, selective, and robust. CoRR abs/1412.1265 (2014) - [i4]Rui Zhao, Wanli Ouyang, Xiaogang Wang:
Person Re-identification by Saliency Learning. CoRR abs/1412.1908 (2014) - [i3]Hongsheng Li, Rui Zhao, Xiaogang Wang:
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification. CoRR abs/1412.4526 (2014) - [i2]Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen Change Loy, Xiaoou Tang:
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection. CoRR abs/1412.5661 (2014) - 2013
- [j14]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) - [j13]Rui Zhao, Xiaogang Wang:
Counting Vehicles from Semantic Regions. IEEE Trans. Intell. Transp. Syst. 14(2): 1016-1022 (2013) - [j12]Boqing Gong, Jianzhuang Liu, Xiaogang Wang, Xiaoou Tang:
Learning Semantic Signatures for 3D Object Retrieval. IEEE Trans. Multim. 15(2): 369-377 (2013) - [j11]Xiaoou Tang, Wei Luo, Xiaogang Wang:
Content-Based Photo Quality Assessment. IEEE Trans. Multim. 15(8): 1930-1943 (2013) - [c54]Bolei Zhou, Xiaoou Tang, Xiaogang Wang:
Measuring Crowd Collectiveness. CVPR 2013: 3049-3056 - [c53]Wanli Ouyang, Xiaogang Wang:
Single-Pedestrian Detection Aided by Multi-pedestrian Detection. CVPR 2013: 3198-3205 - [c52]Wanli Ouyang, Xingyu Zeng, Xiaogang Wang:
Modeling Mutual Visibility Relationship in Pedestrian Detection. CVPR 2013: 3222-3229 - [c51]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Deep Convolutional Network Cascade for Facial Point Detection. CVPR 2013: 3476-3483 - [c50]Rui Zhao, Wanli Ouyang, Xiaogang Wang:
Unsupervised Salience Learning for Person Re-identification. CVPR 2013: 3586-3593 - [c49]Wei Li, Xiaogang Wang:
Locally Aligned Feature Transforms across Views. CVPR 2013: 3594-3601 - [c48]Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Identity-Preserving Face Space. ICCV 2013: 113-120 - [c47]Xingyu Zeng, Wanli Ouyang, Xiaogang Wang:
Multi-stage Contextual Deep Learning for Pedestrian Detection. ICCV 2013: 121-128 - [c46]Yi Sun, Xiaogang Wang, Xiaoou Tang:
Hybrid Deep Learning for Face Verification. ICCV 2013: 1489-1496 - [c45]Wanli Ouyang, Xiaogang Wang:
Joint Deep Learning for Pedestrian Detection. ICCV 2013: 2056-2063 - [c44]Rui Zhao, Wanli Ouyang, Xiaogang Wang:
Person Re-identification by Salience Matching. ICCV 2013: 2528-2535 - [c43]Ping Luo, Xiaogang Wang, Xiaoou Tang:
Pedestrian Parsing via Deep Decompositional Network. ICCV 2013: 2648-2655 - [c42]Ping Luo, Xiaogang Wang, Xiaoou Tang:
A Deep Sum-Product Architecture for Robust Facial Attributes Analysis. ICCV 2013: 2864-2871 - [c41]Shi Qiu, Xiaogang Wang, Xiaoou Tang:
Visual Semantic Complex Network for Web Images. ICCV 2013: 3623-3630 - [c40]Mo Chen, Wei Li, Xiaogang Wang, Wei Zhang:
Dimensionality Reduction with Generalized Linear Models. IJCAI 2013: 1267-1272 - [c39]Shi Qiu, Xiaogang Wang, Xiaoou Tang:
Anchor concept graph distance for web image re-ranking. ACM Multimedia 2013: 713-716 - 2012
- [j10]Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogang Wang:
IntentSearch: Capturing User Intention for One-Click Internet Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1342-1353 (2012) - [c38]Wei Li, Rui Zhao, Xiaogang Wang:
Human Reidentification with Transferred Metric Learning. ACCV (1) 2012: 31-44 - [c37]Wei Luo, Zheng Lu, Xiaogang Wang, Ying-Qing Xu, Moshe Ben-Ezra, Xiaoou Tang, Michael S. Brown:
Synthesizing oil painting surface geometry from a single photograph. CVPR 2012: 885-892 - [c36]Ping Luo, Xiaogang Wang, Xiaoou Tang:
Hierarchical face parsing via deep learning. CVPR 2012: 2480-2487 - [c35]Bolei Zhou, Xiaogang Wang, Xiaoou Tang:
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents. CVPR 2012: 2871-2878 - [c34]Wanli Ouyang, Xiaogang Wang:
A discriminative deep model for pedestrian detection with occlusion handling. CVPR 2012: 3258-3265 - [c33]Meng Wang, Wei Li, Xiaogang Wang:
Transferring a generic pedestrian detector towards specific scenes. CVPR 2012: 3274-3281 - [c32]Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang:
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph. ECCV (1) 2012: 428-441 - [c31]Bolei Zhou, Xiaoou Tang, Xiaogang Wang:
Coherent Filtering: Detecting Coherent Motions from Crowd Clutters. ECCV (2) 2012: 857-871 - [c30]Ping Luo, Xiaogang Wang, Liang Lin, Xiaoou Tang:
Joint semantic segmentation by searching for compatible-competitive references. ACM Multimedia 2012: 777-780 - [c29]Xixuan Wu, Yu Qiao, Xiaogang Wang, Xiaoou Tang:
Cross matching of music and image. ACM Multimedia 2012: 837-840 - [i1]Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang:
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph. CoRR abs/1208.5092 (2012) - 2011
- [j9]Xiaogang Wang, Keng Teck Ma, Gee Wah Ng, W. Eric L. Grimson:
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models. Int. J. Comput. Vis. 95(3): 287-312 (2011) - [j8]Xiaogang Wang, W. Eric L. Grimson, Carl-Fredrik Westin:
Tractography segmentation using a hierarchical Dirichlet processes mixture model. NeuroImage 54(1): 290-302 (2011) - [c28]Wei Zhang, Xiaogang Wang, Xiaoou Tang:
Coupled information-theoretic encoding for face photo-sketch recognition. CVPR 2011: 513-520 - [c27]Xiaogang Wang, Ke Liu, Xiaoou Tang:
Query-specific visual semantic spaces for web image re-ranking. CVPR 2011: 857-864 - [c26]Bolei Zhou, Xiaogang Wang, Xiaoou Tang:
Random field topic model for semantic region analysis in crowded scenes from tracklets. CVPR 2011: 3441-3448 - [c25]Wei Luo, Xiaogang Wang, Xiaoou Tang:
Content-based photo quality assessment. ICCV 2011: 2206-2213 - [c24]Kui Jia, Xiaogang Wang, Xiaoou Tang:
Optical flow estimation using learned sparse model. ICCV 2011: 2391-2398 - [c23]Boqing Gong, Jianzhuang Liu, Xiaogang Wang, Xiaoou Tang:
3D object retrieval with semantic attributes. ACM Multimedia 2011: 757-758 - 2010
- [j7]Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson:
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 56-71 (2010) - [c22]Wei Zhang, Xiaogang Wang, Xiaoou Tang:
Lighting and Pose Robust Face Sketch Synthesis. ECCV (6) 2010: 420-433
2000 – 2009
- 2009
- [b1]Xiaogang Wang:
Learning motion patterns using hierarchical Bayesian models. Massachusetts Institute of Technology, Cambridge, MA, USA, 2009 - [j6]Xiaogang Wang, Xiaoxu Ma, W. Eric L. Grimson:
Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models. IEEE Trans. Pattern Anal. Mach. Intell. 31(3): 539-555 (2009) - [j5]Xiaogang Wang, Xiaoou Tang:
Face Photo-Sketch Synthesis and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 1955-1967 (2009) - [c21]Xiaogang Wang, W. Eric L. Grimson, Carl-Fredrik Westin:
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model. IPMI 2009: 101-113 - 2008
- [c20]Xiaogang Wang, Keng Teck Ma, Gee Wah Ng, W. Eric L. Grimson:
Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. CVPR 2008 - [c19]Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson:
Correspondence-free multi-camera activity analysis and scene modeling. CVPR 2008 - 2007
- [c18]Biswajit Bose, Xiaogang Wang, Eric Grimson:
Multi-class object tracking algorithm that handles fragmentation and grouping. CVPR 2007 - [c17]Xiaogang Wang, Xiaoxu Ma, Eric Grimson:
Unsupervised Activity Perception by Hierarchical Bayesian Models. CVPR 2007 - [c16]Xiaogang Wang, Eric Grimson:
Spatial Latent Dirichlet Allocation. NIPS 2007: 1577-1584 - 2006
- [j4]Xiaogang Wang, Xiaoou Tang:
Random Sampling for Subspace Face Recognition. Int. J. Comput. Vis. 70(1): 91-104 (2006) - [c15]Xiaogang Wang, Kinh Tieu, Eric Grimson:
Learning Semantic Scene Models by Trajectory Analysis. ECCV (3) 2006: 110-123 - 2005
- [j3]Xiaogang Wang, Xiaoou Tang:
Hallucinating face by eigentransformation. IEEE Trans. Syst. Man Cybern. Part C 35(3): 425-434 (2005) - [c14]Xiaogang Wang, Xiaoou Tang:
Subspace Analysis Using Random Mixture Models. CVPR (1) 2005: 574-580 - 2004
- [j2]Xiaogang Wang, Xiaoou Tang:
A Unified Framework for Subspace Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1222-1228 (2004) - [j1]Xiaoou Tang, Xiaogang Wang:
Face sketch recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1): 50-57 (2004) - [c13]Xiaogang Wang, Xiaoou Tang:
Random Sampling LDA for Face Recognition. CVPR (2) 2004: 259-265 - [c12]Xiaogang Wang, Xiaoou Tang:
Dual-Space Linear Discriminant Analysis for Face Recognition. CVPR (2) 2004: 564-569 - [c11]Xiaogang Wang, Xiaoou Tang:
Using Random Subspace to Combine Multiple Features for Face Recognition. FGR 2004: 284-289 - [c10]Xiaogang Wang, Xiaoou Tang:
Hallucinating Face by Eigentransformation with Distortion Reduction. ICBA 2004: 88-94 - [c9]Xiaogang Wang, Xiaoou Tang:
Improving indoor and outdoor face recognition using unified subspace analvsis and gabor features. ICIP 2004: 1983-1986 - [c8]Xiaogang Wang, Xiaoou Tang:
Bayesian Face Recognition Based on Gaussian Mixture Models. ICPR (4) 2004: 142-145 - [c7]Xiaogang Wang, Xiaoou Tang:
Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification. Multiple Classifier Systems 2004: 344-353 - 2003
- [c6]Xiaogang Wang, Xiaoou Tang:
Face Hallucination and Recognition. AVBPA 2003: 486-494 - [c5]Xiaogang Wang, Xiaoou Tang:
An improved Bayesian face recognition algorithm in PCA subspace. ICASSP (3) 2003: 129-132 - [c4]Xiaogang Wang, Xiaoou Tang:
Unified Subspace Analysis for Face Recognition. ICCV 2003: 679-686 - [c3]Xiaoou Tang, Xiaogang Wang:
Face Sketch Synthesis and Recognition. ICCV 2003: 687-694 - [c2]Xiaogang Wang, Xiaoou Tang:
Bayesian face recognition using Gabor features. WBMA@MM 2003: 70-73 - 2002
- [c1]Xiaoou Tang, Xiaogang Wang:
Face photo recognition using sketch. ICIP (1) 2002: 257-260
Coauthor Index
[j66] [j65] [j64] [j63] [c224] [c223] [i172] [j62] [j60] [c220] [c219] [c216] [c213] [c212] [c210] [i168] [i166] [i165] [i163] [i161] [i160] [i159] [i156] [i155] [i153] [i152] [i149] [j59] [j58] [c209] [c205] [c204] [c203] [c201] [c198] [i147] [i146] [i145] [i144] [i143] [i141] [i138] [i134] [i133] [i132] [i131] [i126] [i125] [j55] [c193] [c188] [c186] [c185] [c183] [i123] [i116] [i112] [i109] [i108] [j50] [j47] [c179] [c175] [c173] [c171] [c167] [c166] [c165] [c164] [c162] [c157] [c156] [c154] [i106] [i104] [i102] [i95] [i94] [i93] [i91] [i89] [i88] [i85] [i84] [i82] [j45] [j44] [j41] [c153] [c149] [c147] [c146] [c145] [c143] [c141] [c140] [c135] [c134] [c133] [c132] [c131] [i79] [i78] [i76] [i73] [i68] [i67] [i66] [i65] [i64] [i62] [i61] [i59] [i58] [i57] [j36] [j35] [c129] [c127] [c124] [c118] [c115] [c114] [c113] [c110] [c109] [i55] [i53] [i52] [i44] [i43] [i40] [i39] [i37] [i36] [i31] [i30] [j28] [j23] [j22] [c105] [c102] [c100] [c99] [c94] [c93] [c90] [c87] [i27] [i23] [i22] [i21] [i18] [i17] [i16] [c84] [c83] [c82] [c79] [c73] [i8] [i3] [i2]
[i174] [c218] [c214] [c211] [i164] [i158] [i157] [i154] [c206] [c202] [c195] [i139] [i137] [i124] [j56] [c189] [c181] [i122] [i115] [j46] [c178] [c176] [c169] [c163] [c161] [c159] [c158] [i107] [i103] [i90] [i87] [i86] [i83] [c152] [c150] [i70] [i69] [j35] [c123] [c111] [c108] [i38] [i29] [c106] [c103] [c95] [i19] [c82] [c77] [c75] [c71] [c67] [c57] [i11] [i9] [i8] [i7] [i6] [i2] [c48] [c43] [c42] [c36] [c30]
[j61] [c218] [i164] [i157] [i154] [c206] [i148] [i139] [j57] [c189] [i115] [j53] [j51] [j47] [c174] [c160] [c155] [i99] [i98] [j45] [j44] [j41] [c151] [c146] [c144] [c138] [c136] [i81] [i80] [i78] [i76] [i74] [i73] [i72] [i63] [i60] [j37] [j35] [c130] [c129] [c127] [c125] [c122] [c120] [c116] [c115] [c112] [c110] [c107] [i56] [i53] [i52] [i50] [i49] [i48] [i47] [i46] [i44] [i41] [i40] [i37] [i35] [i34] [j29] [j25] [c105] [c104] [c102] [c101] [c100] [c99] [c94] [c92] [c89] [c87] [i28] [i27] [i25] [i23] [i22] [i21] [i18] [i17] [j18] [c83] [c82] [c76] [c74] [c72] [i13] [c70] [c69] [c63] [c61] [i8] [i4] [i2] [c53] [c52] [c50] [c47] [c45] [c44] [c34]
[c169] [i107] [c152] [c150] [j35] [c128] [c121] [c120] [c117] [c108] [i45] [i42] [i38] [i29] [j26] [j21] [c106] [c103] [c98] [c95] [i19] [j19] [c82] [c80] [c77] [c75] [c71] [i15] [i14] [j16] [j15] [c67] [c66] [c58] [c57] [c56] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i2] [j14] [j12] [j11] [c54] [c51] [c48] [c46] [c43] [c42] [c41] [c39] [j10] [c37] [c36] [c35] [c32] [c31] [c30] [c29] [i1] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j5] [j4] [j3] [c14] [j2] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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