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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.uni-trier.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
[j68]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)- [c232]Zhongang Cai, Jianping Jiang, Zhongfei Qing, Xinying Guo, Mingyuan Zhang, Zhengyu Lin, Haiyi Mei, Chen Wei, Ruisi Wang, Wanqi Yin, Liang Pan, Xiangyu Fan, Han Du, 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. CVPR 2024: 582-592 - [c231]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. ICLR 2024 - [i183]Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li, Xiaogang Wang:
Phased Consistency Model. CoRR abs/2405.18407 (2024) - [i182]Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches with Vision Transformer. CoRR abs/2407.00410 (2024) - [i181]Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang:
TCFormer: Visual Recognition via Token Clustering Transformer. CoRR abs/2407.11321 (2024) - 2023
- [j67]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) - [j66]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) - [j65]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) - [c230]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 - [c229]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 - [c228]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 - [c227]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. CVPR 2023: 15888-15899 - [c226]Bin Liu, Fengfu Li, Xiaogang Wang, Bo Zhang, Junchi Yan:
Ternary Weight Networks. ICASSP 2023: 1-5 - [c225]Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li:
A Unified Conditional Framework for Diffusion-based Image Restoration. NeurIPS 2023 - [i180]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) - [i179]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) - [i178]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) - [i177]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) - [i176]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) - [i175]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) - [i174]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) - [i173]Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai:
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. CoRR abs/2312.09238 (2023) - [i172]Wenhai Wang, Jiangwei Xie, Chuanyang Hu, Haoming Zou, Jianan Fan, Wenwen Tong, Yang Wen, Silei Wu, Hanming Deng, Zhiqi Li, Hao Tian, Lewei Lu, Xizhou Zhu, Xiaogang Wang, Yu Qiao, Jifeng Dai:
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving. CoRR abs/2312.09245 (2023) - 2022
- [j64]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) - [j63]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) - [j62]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) - [c224]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 - [c223]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 - [c222]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CVPR 2022: 8511-8520 - [c221]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 - [c220]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 - [c219]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 - [c218]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 - [c217]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 - [c216]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 - [c215]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. ECCV (18) 2022: 736-753 - [c214]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization improves Vision Transformers. ICLR 2022 - [c213]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 - [i171]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) - [i170]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Relational Self-Supervised Learning. CoRR abs/2203.08717 (2022) - [i169]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) - [i168]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CoRR abs/2203.13394 (2022) - [i167]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) - [i166]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) - [i165]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) - [i164]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) - [i163]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) - [i162]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
3D Object Detection for Autonomous Driving: A Review and New Outlooks. CoRR abs/2206.09474 (2022) - [i161]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) - [i160]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) - [i159]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) - [i158]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) - [i157]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. CoRR abs/2208.05244 (2022) - [i156]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) - [i155]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) - [i154]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) - [i153]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) - [i152]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) - [i151]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
- [j61]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) - [j60]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) - [c212]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 - [c211]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 - [c210]Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin:
Visually Informed Binaural Audio Generation without Binaural Audios. CVPR 2021: 15485-15494 - [c209]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 - [c208]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 - [c207]Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. ICCV 2021: 3133-3143 - [c206]Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. ICCV 2021: 3601-3610 - [c205]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 - [c204]Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li:
Rethinking Noise Synthesis and Modeling in Raw Denoising. ICCV 2021: 4573-4581 - [c203]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. ICCV 2021: 10022-10031 - [c202]Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang:
Learning with Privileged Tasks. ICCV 2021: 10665-10674 - [c201]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 - [c200]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - [c199]Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai:
Deformable DETR: Deformable Transformers for End-to-End Object Detection. ICLR 2021 - [c198]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. ICML 2021: 12546-12556 - [c197]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 - [i150]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) - [i149]Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. CoRR abs/2101.07448 (2021) - [i148]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) - [i147]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) - [i146]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) - [i145]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) - [i144]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) - [i143]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) - [i142]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) - [i141]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) - [i140]Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Scalable Transformers for Neural Machine Translation. CoRR abs/2106.02242 (2021) - [i139]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. CoRR abs/2106.02295 (2021) - [i138]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) - [i137]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) - [i136]Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. CoRR abs/2108.02404 (2021) - [i135]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) - [i134]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) - [i133]Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li:
Rethinking Noise Synthesis and Modeling in Raw Denoising. CoRR abs/2110.04756 (2021) - [i132]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. CoRR abs/2110.04770 (2021) - [i131]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) - [i130]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) - [i129]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) - [i128]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) - [i127]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) - [i126]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
- [j59]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) - [j58]Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo:
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HMS-Net: Hierarchical Multi-Scale Sparsi