activity
20242026
most citedChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

StreamSoccer: Event-Driven Memory for Streaming Soccer Commentary

Chenxi Shao, Bozhong Wang, Jiaxin Huang +6

Streaming video understanding requires models to causally update state as video arrives and organize growing history into semantic units that can evolve, persist, and be recalled u…

cs.CV2026

EmbodiedHead: Real-Time Listening and Speaking Avatar for Conversational Agents

Yu Zhang, Kaiyuan Shen, Yang Li

We present EmbodiedHead, a speech-driven talking head framework that equips LLMs with real-time visual avatars for conversation. A practical embodied avatar must achieve real-time…

cs.CV2026

HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding

Xuerui Qiu, Yutao Cui, Guozhen Zhang +10

Unified Multimodal Models struggle to bridge the fundamental gap between the abstract representations needed for visual understanding and the detailed primitives required for gener…

cs.RO2025

Audio-VLA: Adding Contact Audio Perception to Vision-Language-Action Model for Robotic Manipulation

Xiangyi Wei, Haotian Zhang, Xinyi Cao +4

The Vision-Language-Action models (VLA) have achieved significant advances in robotic manipulation recently. However, vision-only VLA models create fundamental limitations, particu…

cs.CV2024★ 3 cited

ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

Yiming Sun, Fan Yu, Shaoxiang Chen +5

Visual object tracking aims to locate a targeted object in a video sequence based on an initial bounding box. Recently, Vision-Language~(VL) trackers have proposed to utilize addit…