activity
20182026
most citedLearning Motion and Temporal Cues for Unsupervised Video Object Segmentation

12 citations · 23 across the 31 of their papers we have counts for

collaborators

33 papers

cs.CV2026

TRACE: Trajectory-robust Admission with Evidence Ordering for Efficient GUI Agents

Yuhao Wang, Mu Qiao, Xindong Zhang +3

GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference latency and memory usage. Training-free visual token pruning can reduce this cost,…

cs.CV2026

Paths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification

Yakun Huo, Yingquan Wang, Yangyang Liu +4

RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existi…

cs.CV2026

AnyTrack: Unifying Visual Object Tracking with Any Modalities

Hao Li, Yunzhi Zhuge, Wenning Hao +4

Visual object tracking aims to continuously locate specific targets within sequential frames, evolving from single-modal methods to multi-modal ones. However, existing multi-modal…

cs.CV2026

GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience

Sitong Gong, Caixin Kang, Tianyu Yan +7

A wearable assistant should both answer questions about its visual history and recognize when that history is useful to the present situation. Existing video-memory systems primari…

cs.CV2026

ERA: Entropy-Guided Visual Token Pruning with Rectified Attention for Efficient MLLMs

Yuhao Wang, Mu Qiao, Haiwen Diao +5

Multimodal Large Language Models (MLLMs) incur prohibitive inference costs due to long visual token sequences. Training-free visual token reduction provides an efficient solution.…

cs.CV2026

Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions

Kecheng Zhang, Zongxin Yang, Mingfei Han +6

Visual agents operating in the wild must respond to queries precisely when sufficient evidence first appears in a video stream, a critical capability that is overlooked by conventi…