SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Global Intelligent Governance - A Collaborative Platform. - Sukumar Ganapati; Michael Ahn; Yu-Che Chen; Robert Krimmer; Gabriela Viale Pereira; Cristian Pliscoff; Hsien-Lee Tseng; Jiannan Wu (DG.O, 2021)

Watch Only Once: An End-to-End Video Action Detection Framework. - Shoufa Chen; Peize Sun; Enze Xie; Chongjian Ge; Jiannan Wu; Lan Ma; Jiajun Shen; Ping Luo 002 (ICCV, 2021)

Towards High-Quality Temporal Action Detection with Sparse Proposals. - Jiannan Wu; Peize Sun; Shoufa Chen; Jiewen Yang; Zihao Qi; Lan Ma; Ping Luo 002 (CoRR, 2021)

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

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)

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)

A Simple Baseline for Open-World Tracking via Self-training. - Bingyang Wang; Tanlin Li; Jiannan Wu; Yi Jiang 004; Huchuan Lu; You He (ACM Multimedia, 2023)

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. - Wenhai Wang; Zhe Chen 017; Xiaokang Chen; Jiannan Wu; Xizhou Zhu; Gang Zeng; Ping Luo 002; Tong Lu; Jie Zhou 001; Yu Qiao 001; Jifeng Dai (NeurIPS, 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)

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. - Zhe Chen 017; Jiannan Wu; Wenhai Wang; Weijie Su 002; Guo Chen 006; Sen Xing; Muyan Zhong; Qinglong Zhang; Xizhou Zhu; Lewei Lu; Bin Li 025; Ping Luo 002; et al. (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)

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)

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. - Zhe Chen 017; Jiannan Wu; Wenhai Wang; Weijie Su 002; Guo Chen 006; Sen Xing; Muyan Zhong; Qinglong Zhang; Xizhou Zhu; Lewei Lu; Bin Li 025; Ping Luo 002; et al. (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)

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks. - Jiannan Wu; Muyan Zhong; Sen Xing; Zeqiang Lai; Zhaoyang Liu 001; Zhe Chen 017; Wenhai Wang; Xizhou Zhu; Lewei Lu; Tong Lu; Ping Luo 002; Yu Qiao 001; et al. (NeurIPS, 2024)

The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. - Jierun Chen; Tiezheng Yu; Haoli Bai; Lewei Yao; Jiannan Wu; Kaican Li; Fei Mi; Chaofan Tao; Lei Zhu; Manyi Zhang; Xiaohui Li; Lu Hou 002; et al. (CoRR, 2025)