Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. - Zhongdao Wang; Luming Tang; Xihui Liu; Zhuliang Yao; Shuai Yi; Jing Shao; Junjie Yan; Shengjin Wang; Hongsheng Li 001; Xiaogang Wang 001 (ICCV, 2017)

Query Adaptive Late Fusion for Image Retrieval. - Zhongdao Wang; Liang Zheng 001; Shengjin Wang (CoRR, 2018)

Linkage Based Face Clustering via Graph Convolution Network. - Zhongdao Wang; Liang Zheng 001; Yali Li 001; Shengjin Wang (CVPR, 2019)

Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning. - Lanqing He; Zhongdao Wang; Yali Li 001; Shengjin Wang (CoRR, 2019)

Towards Real-Time Multi-Object Tracking. - Zhongdao Wang; Liang Zheng 001; Yixuan Liu 004; Shengjin Wang (CoRR, 2019)

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking. - Yunzhong Hou; Liang Zheng 001; Zhongdao Wang; Shengjin Wang (CoRR, 2019)

Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning. - Lanqing He; Zhongdao Wang; Yali Li 001; Shengjin Wang (AAAI, 2020)

Circle Loss: A Unified Perspective of Pair Similarity Optimization. - Yifan Sun 003; Changmao Cheng; Yuhan Zhang 004; Chi Zhang 026; Liang Zheng 001; Zhongdao Wang; Yichen Wei (CVPR, 2020)

Towards Real-Time Multi-Object Tracking. - Zhongdao Wang; Liang Zheng 001; Yixuan Liu 004; Yali Li 001; Shengjin Wang (ECCV (11), 2020)

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. - Zhongdao Wang; Jingwei Zhang; Liang Zheng 001; Yixuan Liu 004; Yifan Sun 003; Yali Li 001; Shengjin Wang (ECCV (11), 2020)

Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory. - Jingwei Zhang; Zhongdao Wang; Yali Li 001; Shengjin Wang (IEEE Signal Process. Lett., 2020)

Do Different Tracking Tasks Require Different Appearance Models? - Zhongdao Wang; Hengshuang Zhao; Ya-Li Li 001; Shengjin Wang; Philip H. S. Torr; Luca Bertinetto (NeurIPS, 2021)

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. - Yuchi Liu; Zhongdao Wang; Xiangxin Zhou; Liang Zheng 001 (CoRR, 2021)

Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). - Yuchi Liu; Zhongdao Wang; Tom Gedeon; Liang Zheng 001 (CoRR, 2021)

Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval. - Zhaopeng Dou; Zhongdao Wang; Weihua Chen; Yali Li 001; Shengjin Wang (ECCV (14), 2022)

How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? - Yuchi Liu; Zhongdao Wang; Tom Gedeon; Liang Zheng 001 (ECCV (8), 2022)

Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification. - Zhaopeng Dou; Zhongdao Wang; Yali Li 001; Shengjin Wang (ICASSP, 2022)

Self-Supervised Learning via Maximum Entropy Coding. - Xin Liu; Zhongdao Wang; Yali Li 001; Shengjin Wang (NeurIPS, 2022)

Generalizable Re-Identification from Videos with Cycle Association. - Zhongdao Wang; Zhaopeng Dou; Jingwei Zhang; Liang Zheng 001; Yifan Sun 003; Yali Li 001; Shengjin Wang (CoRR, 2022)

Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. - Yunzhong Hou; Zhongdao Wang; Shengjin Wang; Liang Zheng 001 (IEEE Trans. Image Process., 2022)

Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification. - Zhaopeng Dou; Zhongdao Wang; Yali Li 001; Shengjin Wang (ICCV, 2023)

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. - Chongjian Ge; Junsong Chen; Enze Xie; Zhongdao Wang; Lanqing Hong; Huchuan Lu; Zhenguo Li; Ping Luo 002 (ICCV, 2023)

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation. - Chongjian Ge; Junsong Chen; Enze Xie; Zhongdao Wang; Lanqing Hong; Huchuan Lu; Zhenguo Li; Ping Luo 002 (CoRR, 2023)

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. - Junsong Chen; Jincheng Yu; Chongjian Ge; Lewei Yao; Enze Xie; Yue Wu 002; Zhongdao Wang; James T. Kwok; Ping Luo 002; Huchuan Lu; Zhenguo Li (CoRR, 2023)

A Study of Using Synthetic Data for Effective Association Knowledge Learning. - Yuchi Liu; Zhongdao Wang; Xiangxin Zhou; Liang Zheng 001 (Mach. Intell. Res., 2023)

SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction. - Pin Tang; Zhongdao Wang; Guoqing Wang; Jilai Zheng; Xiangxuan Ren; Bailan Feng; Chao Ma 004 (CVPR, 2024)

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking. - Fei Xie; Zhongdao Wang; Chao Ma 004 (CVPR, 2024)

PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation. - Junsong Chen; Chongjian Ge; Enze Xie; Yue Wu 002; Lewei Yao; Xiaozhe Ren; Zhongdao Wang; Ping Luo 002; Huchuan Lu; Zhenguo Li (ECCV (32), 2024)

Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts. - Jianhao Li; Tianyu Sun; Zhongdao Wang; Enze Xie; Bailan Feng; Hongbo Zhang; Ze Yuan; Ke Xu 001; Jiaheng Liu; Ping Luo 002 (ECCV (84), 2024)

OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving. - Guoqing Wang; Zhongdao Wang; Pin Tang; Jilai Zheng; Xiangxuan Ren; Bailan Feng; Chao Ma 004 (ECCV (20), 2024)

VEON: Vocabulary-Enhanced Occupancy Prediction. - Jilai Zheng; Pin Tang; Zhongdao Wang; Guoqing Wang; Xiangxuan Ren; Bailan Feng; Chao Ma 004 (ECCV (54), 2024)

LogoSticker: Inserting Logos Into Diffusion Models for Customized Generation. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Hengshuang Zhao; Jiaya Jia (ECCV (60), 2024)

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. - Junsong Chen; Jincheng Yu; Chongjian Ge; Lewei Yao; Enze Xie; Zhongdao Wang; James T. Kwok; Ping Luo 002; Huchuan Lu; Zhenguo Li (ICLR, 2024)

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs. - Qinpeng Cui; Yixuan Liu 004; Xinyi Zhang; Qiqi Bao; Qingmin Liao; liwang Amd; Lu Tian; Zicheng Liu; Zhongdao Wang; Emad Barsoum (NeurIPS, 2024)

QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model. - Fei Xie; Weijia Zhang; Zhongdao Wang; Chao Ma 004 (NeurIPS, 2024)

Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation. - Zhenyu Wang; Enze Xie; Aoxue Li; Zhongdao Wang; Xihui Liu; Zhenguo Li (CoRR, 2024)

OccFiner: Offboard Occupancy Refinement with Hybrid Propagation. - Hao Shi 004; Song Wang 019; Jiaming Zhang 001; Xiaoting Yin; Zhongdao Wang; Zhijian Zhao; Guangming Wang 001; Jianke Zhu; Kailun Yang 001; Kaiwei Wang (CoRR, 2024)

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs. - Qinpeng Cui; Yixuan Liu 004; Xinyi Zhang; Qiqi Bao; Qingmin Liao; Li Wang; Tian Lu; Zicheng Liu; Zhongdao Wang; Emad Barsoum (CoRR, 2024)

ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning. - Song Wang 019; Zhongdao Wang; Jiawei Yu; Wentong Li 001; Bailan Feng; Junbo Chen; Jianke Zhu (CoRR, 2024)

Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning. - Jianhao Li; Tianyu Sun; Xueqian Zhang; Zhongdao Wang; Bailan Feng; Hengshuang Zhao (CoRR, 2024)

ReNeg: Learning Negative Embedding with Reward Guidance. - Xiaomin Li; Yixuan Liu 004; Takashi Isobe; Xu Jia 012; Qinpeng Cui; Dong Zhou 003; Dong Li 025; You He; Huchuan Lu; Zhongdao Wang; Emad Barsoum (CVPR, 2025)

Edit as You See: Image-guided Video Editing via Masked Motion Modeling. - Zhi-Lin Huang; Yixuan Liu 004; Chujun Qin; Zhongdao Wang; Dong Zhou 003; Dong Li 025; Emad Barsoum (CoRR, 2025)

Effective LLM Knowledge Learning via Model Generalization. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis. - Jingjing Ren; Wenbo Li 002; Zhongdao Wang; Haoze Sun; Bangzhen Liu; Haoyu Chen 003; Jiaqi Xu; Aoxue Li; Shifeng Zhang; Bin Shao; Yong Guo; Lei Zhu 003 (CoRR, 2025)

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent. - Yunlong Lin; Zixu Lin; Kunjie Lin; Jinbin Bai; Panwang Pan; Chenxin Li; Haoyu Chen 003; Zhongdao Wang; Xinghao Ding; Wenbo Li 002; Shuicheng Yan (CoRR, 2025)

TurboVSR: Fantastic Video Upscalers and Where to Find Them. - Zhongdao Wang; Guodongfang Zhao; Jingjing Ren; Bailan Feng; Shifeng Zhang; Wenbo Li 002 (CoRR, 2025)