📝 Publications

* means equal contribution.

Recent Works

SAMTok: Representing Any Mask with Two Words, Yikang Zhou*, Tao Zhang*, Dengxian Gong, Yuanzheng Wu, Ye Tian, Haochen Wang, Haobo Yuan, Jiacong Wang, Lu Qi, Hao Fei, Anran Wang, Zhuochen Wang, Yujing Wang, Cheng Chen, Shunping Ji, Xiangtai Li [CVPR-2026, Highlight] Use two words to represent any mask to facilitate use of VLM infra for pixel-LLM. | Code

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence, Jiahao Meng, Xiangtai Li, Haochen Wang, Yue Tan, Tao Zhang, Lingdong Kong, Yunhai Tong, Anran Wang, Zhiyang Teng, Yujing Wang, Zhuochen Wang [Tech Report] The first non-agentic spatial-temporal RL post-training framework. | Code

Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs, Haochen Wang*, Yuhao Wang*, Tao Zhang, Yikang Zhou, Yanwei Li, Jiacong Wang, Jiani Zheng, Ye Tian, Jiahao Meng, Zilong Huang, Guangcan Mai, Anran Wang, Yunhai Tong, Zhuochen Wang, Xiangtai Li, Zhaoxiang Zhang [ICLR-2026] STOA region caption models | Code Model and Data

MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation, Ye Tian, Ling Yang, Jiongfan Yang, Anran Wang, Yu Tian, Jiani Zheng, Haochen Wang, Zhiyang Teng, Zhuochen Wang, Yinjie Wang, Yunhai Tong, Mengdi Wang, Xiangtai Li [ICLR-2026] The first unified parallel generation model | Code Model and Data

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos, Haobo Yuan*, Xiangtai Li*, Tao Zhang*, Zilong Huang, Shilin Xu, Shunping Ji, Yunhai Tong, Lu Qi, Jiashi Feng, Ming-Hsuan Yang [Tech Report] Marrying SAM2 with LLaVA-like MLLM for open-ended spatial temporal understanding. | Project Page

Several Other Previous works

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything, Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang ICLR 2025 (oral) A new real-time multi-task segmentation setting, benchmark, and a simple effcient baseline. | Github

OMG-Seg: Is One Model Good Enough For All Segmentation?, Xiangtai Li, Haobo Yuan, Wei Li, Henghui Ding, Size Wu, Wenwei Zhang, Yining Li, Kai Chen, Chen Change Loy CVPR 2024 One model to perform image/video/open-vocabulary/multi-dataset/interactive segmentation in one shot. | Project Page

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation, Xiangtai Li*, Wenwei Zhang*, Jiangmiao Pang*, Kai Chen, Guangliang Cheng, Yunhai Tong, Chen Change Loy, CVPR 2022 (Oral, top2%) The first unified video segmentation model and codebase for VPS, VIS, VSS | Code

Code can be found in this.