Knowing Where to Look? Analysis on Attention of Visual Question Answering System. - Wei Li 084; Zehuan Yuan; Xiangzhong Fang; Changhu Wang (ECCV Workshops (4), 2018)

Towards Good Practices for Multi-modal Fusion in Large-Scale Video Classification. - Jinlai Liu; Zehuan Yuan; Changhu Wang (ECCV Workshops (4), 2018)

Deformable Tube Network for Action Detection in Videos. - Wei Li 084; Zehuan Yuan; Dashan Guo; Lei Huang 015; Xiangzhong Fang; Changhu Wang (CoRR, 2019)

Towards Good Practices for Instance Segmentation. - Dongdong Yu; Zehuan Yuan; Jinlai Liu; Kun Yuan; Changhu Wang (CoRR, 2019)

Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. - Lu Chi; Zehuan Yuan; Yadong Mu; Changhu Wang (CVPR, 2020)

Controllable Orthogonalization in Training DNNs. - Lei Huang 015; Li Liu 004; Fan Zhu 001; Diwen Wan; Zehuan Yuan; Bo Li 026; Ling Shao 001 (CVPR, 2020)

Moflowgan: Video Generation With Flow Guidance. - Wei Li 084; Zehuan Yuan; Xiangzhong Fang; Changhu Wang (ICME, 2020)

OneNet: Towards End-to-End One-Stage Object Detection. - Peize Sun; Yi Jiang 004; Enze Xie; Zehuan Yuan; Changhu Wang; Ping Luo 002 (CoRR, 2020)

TransTrack: Multiple-Object Tracking with Transformer. - Peize Sun; Yi Jiang 004; Rufeng Zhang; Enze Xie; Jinkun Cao; Xinting Hu; Tao Kong; Zehuan Yuan; Changhu Wang; Ping Luo 002 (CoRR, 2020)

Slimmable Generative Adversarial Networks. - Liang Hou; Zehuan Yuan; Lei Huang 015; Huawei Shen; Xueqi Cheng; Changhu Wang (AAAI, 2021)

Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. - Peize Sun; Rufeng Zhang; Yi Jiang 004; Tao Kong; Chenfeng Xu; Wei Zhan; Masayoshi Tomizuka; Lei Li 005; Zehuan Yuan; Changhu Wang; Ping Luo 002 (CVPR, 2021)

Weakly Supervised Person Search with Region Siamese Networks. - Chuchu Han; Kai Su; Dongdong Yu; Zehuan Yuan; Changxin Gao; Nong Sang; Yi Yang 001; Changhu Wang (ICCV, 2021)

Domain-Invariant Disentangled Network for Generalizable Object Detection. - Chuang Lin 003; Zehuan Yuan; Sicheng Zhao; Peize Sun; Changhu Wang; Jianfei Cai 001 (ICCV, 2021)

Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. - Wei Wang; Haochen Zhang; Zehuan Yuan; Changhu Wang (ICCV, 2021)

Exploring Balanced Feature Spaces for Representation Learning. - Bingyi Kang; Yu Li 016; Sa Xie; Zehuan Yuan; Jiashi Feng (ICLR, 2021)

What Makes for End-to-End Object Detection? - Peize Sun; Yi Jiang 004; Enze Xie; Wenqi Shao; Zehuan Yuan; Changhu Wang; Ping Luo 002 (ICML, 2021)

Multimodal Video Summarization via Time-Aware Transformers. - Xindi Shang; Zehuan Yuan; Anran Wang 001; Changhu Wang (ACM Multimedia, 2021)

Disentangled Contrastive Learning on Graphs. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Zehuan Yuan; Hang Li; Wenwu Zhu 001 (NeurIPS, 2021)

Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations. - Guanghao Yin; Wei Wang; Zehuan Yuan; Dongdong Yu; Shouqian Sun; Changhu Wang (CoRR, 2021)

Center Prediction Loss for Re-identification. - Lu Yang 016; Yunlong Wang 008; Lingqiao Liu; Peng Wang 015; Lu Chi; Zehuan Yuan; Changhu Wang; Yanning Zhang 001 (CoRR, 2021)

Memory Based Video Scene Parsing. - Zhenchao Jin; Dongdong Yu; Kai Su; Zehuan Yuan; Changhu Wang (CoRR, 2021)

ByteTrack: Multi-Object Tracking by Associating Every Detection Box. - Yifu Zhang; Peize Sun; Yi Jiang 004; Dongdong Yu; Zehuan Yuan; Ping Luo 002; Wenyu Liu 001; Xinggang Wang (CoRR, 2021)

Content-Variant Reference Image Quality Assessment via Knowledge Distillation. - Guanghao Yin; Wei Wang; Zehuan Yuan; Chuchu Han; Wei Ji 008; Shouqian Sun; Changhu Wang (AAAI, 2022)

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. - Peize Sun; Jinkun Cao; Yi Jiang 004; Zehuan Yuan; Song Bai 001; Kris Kitani; Ping Luo 002 (CVPR, 2022)

Language as Queries for Referring Video Object Segmentation. - Jiannan Wu; Yi Jiang 004; Peize Sun; Zehuan Yuan; Ping Luo 002 (CVPR, 2022)

Focal and Global Knowledge Distillation for Detectors. - Zhendong Yang; Zhe Li; Xiaohu Jiang; Yuan Gong 002; Zehuan Yuan; Danpei Zhao; Chun Yuan (CVPR, 2022)

You Should Look at All Objects. - Zhenchao Jin; Dongdong Yu; Luchuan Song; Zehuan Yuan; Lequan Yu (ECCV (9), 2022)

Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. - Chuang Lin 003; Yi Jiang 004; Jianfei Cai 001; Lizhen Qu; Gholamreza Haffari; Zehuan Yuan (ECCV (36), 2022)

Towards Grand Unification of Object Tracking. - Bin Yan 004; Yi Jiang 004; Peize Sun; Dong Wang 004; Zehuan Yuan; Ping Luo 002; Huchuan Lu (ECCV (21), 2022)

Masked Generative Distillation. - Zhendong Yang; Zhe Li; Mingqi Shao; Dachuan Shi; Zehuan Yuan; Chun Yuan (ECCV (11), 2022)

ByteTrack: Multi-object Tracking by Associating Every Detection Box. - Yifu Zhang; Peize Sun; Yi Jiang 004; Dongdong Yu; Fucheng Weng; Zehuan Yuan; Ping Luo 002; Wenyu Liu 001; Xinggang Wang (ECCV (22), 2022)

Objects in Semantic Topology. - Shuo Yang 006; Peize Sun; Yi Jiang 004; Xiaobo Xia; Ruiheng Zhang 001; Zehuan Yuan; Changhu Wang; Ping Luo 002; Min Xu 001 (ICLR, 2022)

Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. - Yang Jin; Yongzhi Li; Zehuan Yuan; Yadong Mu (NeurIPS, 2022)

Rethinking Resolution in the Context of Efficient Video Recognition. - Chuofan Ma; Qiushan Guo; Yi Jiang 004; Ping Luo 002; Zehuan Yuan; Xiaojuan Qi 001 (NeurIPS, 2022)

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. - Yabo Xiao; Kai Su; Xiaojuan Wang; Dongdong Yu; Lei Jin 003; Mingshu He; Zehuan Yuan (NeurIPS, 2022)

MetaFormer: A Unified Meta Framework for Fine-Grained Recognition. - Qishuai Diao; Yi Jiang; Bin Wen; Jia Sun; Zehuan Yuan (CoRR, 2022)

Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (CoRR, 2022)

ManiCLIP: Multi-Attribute Face Manipulation from Text. - Hao Wang 094; Guosheng Lin; Ana Garcia del Molino; Anran Wang 001; Zehuan Yuan; Chunyan Miao; Jiashi Feng (CoRR, 2022)

Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders. - Haosen Yang 003; Deng Huang; Bin Wen; Jiannan Wu; Hongxun Yao; Yi Jiang; Xiatian Zhu; Zehuan Yuan (CoRR, 2022)

MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. - Zijia Zhao; Longteng Guo; Xingjian He; Shuai Shao 005; Zehuan Yuan; Jing Liu 001 (CoRR, 2022)

Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. - Guanghao Yin; Wei Wang; Zehuan Yuan; Wei Ji 008; Dongdong Yu; Shouqian Sun; Tat-Seng Chua; Changhu Wang (IEEE Trans. Image Process., 2022)

Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. - Bo Yuan 009; Danpei Zhao; Shuai Shao 005; Zehuan Yuan; Changhu Wang (IEEE Trans. Image Process., 2022)

Universal Instance Perception as Object Discovery and Retrieval. - Bin Yan 004; Yi Jiang 004; Jiannan Wu; Dong Wang 004; Ping Luo 002; Zehuan Yuan; Huchuan Lu (CVPR, 2023)

Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. - Yang Jin; Yongzhi Li; Zehuan Yuan; Yadong Mu (CVPR, 2023)

Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. - Tianjiao Li; Lin Geng Foo; Ping Hu 001; Xindi Shang; Hossein Rahmani 001; Zehuan Yuan; Jun Liu 036 (CVPR, 2023)

Meta Compositional Referring Expression Segmentation. - Li Xu; Mark He Huang; Xindi Shang; Zehuan Yuan; Ying Sun; Jun Liu 036 (CVPR, 2023)

EGC: Image Generation and Classification via a Diffusion Energy-Based Model. - Qiushan Guo; Chuofan Ma; Yi Jiang 004; Zehuan Yuan; Yizhou Yu; Ping Luo 002 (ICCV, 2023)

Segment Every Reference Object in Spatial and Temporal Spaces. - Jiannan Wu; Yi Jiang 004; Bin Yan 004; Huchuan Lu; Zehuan Yuan; Ping Luo 002 (ICCV, 2023)

Exploring Transformers for Open-world Instance Segmentation. - Jiannan Wu; Yi Jiang 004; Bin Yan 004; Huchuan Lu; Zehuan Yuan; Ping Luo 002 (ICCV, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

Learning Object-Language Alignments for Open-Vocabulary Object Detection. - Chuang Lin 003; Peize Sun; Yi Jiang 004; Ping Luo 002; Lizhen Qu; Gholamreza Haffari; Zehuan Yuan; Jianfei Cai 001 (ICLR, 2023)

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. - Keyu Tian; Yi Jiang; Qishuai Diao; Chen Lin 003; Liwei Wang; Zehuan Yuan (ICLR, 2023)

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Satoshi Tsutsui; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (ACM Multimedia, 2023)

CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. - Chuofan Ma; Yi Jiang 004; Xin Wen 004; Zehuan Yuan; Xiaojuan Qi 001 (NeurIPS, 2023)

MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. - Zijia Zhao; Longteng Guo; Xingjian He; Shuai Shao 005; Zehuan Yuan; Jing Liu 001 (SIGIR, 2023)

Multi-Level Contrastive Learning for Dense Prediction Task. - Qiushan Guo; Yizhou Yu; Yi Jiang 004; Jiannan Wu; Zehuan Yuan; Ping Luo 002 (CoRR, 2023)

ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst. - Zijia Zhao; Longteng Guo; Tongtian Yue; Sihan Chen; Shuai Shao 005; Xinxin Zhu; Zehuan Yuan; Jing Liu 001 (CoRR, 2023)

UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces. - Jiannan Wu; Yi Jiang 004; Bin Yan 004; Huchuan Lu; Zehuan Yuan; Ping Luo 002 (CoRR, 2023)

Trimap-guided feature mining and fusion network for natural image matting. - Weihao Jiang; Dongdong Yu; Zhaozhi Xie; Yaoyi Li; Zehuan Yuan; Hongtao Lu 001 (Comput. Vis. Image Underst., 2023)

MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. - Zhenchao Jin; Dongdong Yu; Zehuan Yuan; Lequan Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. - Chuchu Han; Zhedong Zheng; Kai Su; Dongdong Yu; Zehuan Yuan; Changxin Gao; Nong Sang; Yi Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sparse R-CNN: An End-to-End Framework for Object Detection. - Peize Sun; Rufeng Zhang; Yi Jiang 004; Tao Kong; Chenfeng Xu; Wei Zhan; Masayoshi Tomizuka; Zehuan Yuan; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. - Junyi Chen; Longteng Guo; Jia Sun; Shuai Shao 005; Zehuan Yuan; Liang Lin; Dongyu Zhang 002 (AAAI, 2024)

MotionMAE: Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders. - Haosen Yang 003; Deng Huang; Bin Wen; Jiannan Wu; Hongxun Yao; Yi Jiang; Xiatian Zhu; Zehuan Yuan (BMVC, 2024)

Generative Region-Language Pretraining for Open-Ended Object Detection. - Chuang Lin 003; Yi Jiang 004; Lizhen Qu; Zehuan Yuan; Jianfei Cai 001 (CVPR, 2024)

General Object Foundation Model for Images and Videos at Scale. - Junfeng Wu; Yi Jiang 004; Qihao Liu; Zehuan Yuan; Xiang Bai; Song Bai 001 (CVPR, 2024)

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models. - Chuofan Ma; Yi Jiang 004; Jiannan Wu; Zehuan Yuan; Xiaojuan Qi 001 (ECCV (6), 2024)

View Crafting For Instance-Level Representation from Scene Images. - Bin Liu 054; Yuchen Luo; Shaofeng Zhang; Zehuan Yuan; Changdong Xu; Boan Chen; Junchi Yan (ICASSP, 2024)

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction. - Keyu Tian; Yi Jiang; Zehuan Yuan; Bingyue Peng; Liwei Wang (NeurIPS, 2024)

OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation. - Junke Wang; Yi Jiang; Zehuan Yuan; Bingyue Peng; Zuxuan Wu; Yu-Gang Jiang 001 (NeurIPS, 2024)

Recognize Any Regions. - Haosen Yang 003; Chuofan Ma; Bin Wen; Yi Jiang; Zehuan Yuan; Xiatian Zhu (NeurIPS, 2024)

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation. - Peize Sun; Yi Jiang 004; Shoufa Chen; Shilong Zhang; Bingyue Peng; Ping Luo 002; Zehuan Yuan (CoRR, 2024)

HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling. - Junyi Chen; Lu Chi; Bingyue Peng; Zehuan Yuan (CoRR, 2024)

Liquid: Language Models are Scalable Multi-modal Generators. - Junfeng Wu; Yi Jiang 004; Chuofan Ma; Yuliang Liu; Hengshuang Zhao; Zehuan Yuan; Song Bai 001; Xiang Bai (CoRR, 2024)

Goku: Flow Based Video Generative Foundation Models. - Shoufa Chen; Chongjian Ge; Yuqi Zhang; Yida Zhang; Fengda Zhu; Hao Yang; Hongxiang Hao; Hui Wu; Zhichao Lai; Yifei Hu; Ting-Che Lin; Shilong Zhang; et al. (CVPR, 2025)

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis. - Jian Han; Jinlai Liu; Yi Jiang 004; Bin Yan 004; Yuqi Zhang; Zehuan Yuan; Bingyue Peng; Xiaobing Liu (CVPR, 2025)

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation. - Liao Qu; Huichao Zhang; Yiheng Liu; Xu Wang; Yi Jiang; Yiming Gao; Hu Ye; Daniel K. Du; Zehuan Yuan; Xinglong Wu (CVPR, 2025)

ChatSearch: A dataset and a generative retrieval model for general conversational image retrieval. - Zijia Zhao; Longteng Guo; Tongtian Yue; Erdong Hu; Shuai Shao 005; Zehuan Yuan; Hua Huang; Jing Liu 001 (Pattern Recognit., 2025)

HumanDiT: Pose-Guided Diffusion Transformer for Long-form Human Motion Video Generation. - Qijun Gan; Yi Ren 006; Chen Zhang 020; Zhenhui Ye; Pan Xie; Xiang Yin 006; Zehuan Yuan; Bingyue Peng; Jianke Zhu (CoRR, 2025)

Goku: Flow Based Video Generative Foundation Models. - Shoufa Chen; Chongjian Ge; Yuqi Zhang; Yida Zhang; Fengda Zhu; Hao Yang 044; Hongxiang Hao; Hui Wu; Zhichao Lai; Yifei Hu; Ting-Che Lin; Shilong Zhang; et al. (CoRR, 2025)

FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation. - Shilong Zhang; Wenbo Li; Shoufa Chen; Chongjian Ge; Peize Sun; Yida Zhang; Yi Jiang 004; Zehuan Yuan; Binyue Peng; Ping Luo 002 (CoRR, 2025)

UniTok: A Unified Tokenizer for Visual Generation and Understanding. - Chuofan Ma; Yi Jiang 004; Junfeng Wu; Jihan Yang; Xin Yu 004; Zehuan Yuan; Bingyue Peng; Xiaojuan Qi 001 (CoRR, 2025)

VC-LLM: Automated Advertisement Video Creation from Raw Footage using Multi-modal LLMs. - Dongjun Qian; Kai Su; Yiming Tan; Qishuai Diao; Xian Wu; Chang Liu; Bingyue Peng; Zehuan Yuan (CoRR, 2025)

DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction. - Yiheng Liu; Liao Qu; Huichao Zhang; Xu Wang; Yi Jiang; Yiming Gao; Hu Ye; Xian Li; Shuai Wang; Daniel K. Du; Shu Cheng; Zehuan Yuan; et al. (CoRR, 2025)

Waver: Wave Your Way to Lifelike Video Generation. - Yifu Zhang; Hao Yang 044; Yuqi Zhang; Yifei Hu; Fengda Zhu; Chuang Lin 003; Xiaofeng Mei; Yi Jiang 004; Bingyue Peng; Zehuan Yuan (CoRR, 2025)