activity
20242026
most citedBeyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

3 citations · 3 across the 16 of their papers we have counts for

collaborators

20 papers

cs.CV2026

ConceptWeaver: Weaving Disentangled Concepts with Flow

Jintao Chen, Aiming Hao, Xiaoqing Chen +6

Pre-trained flow-based models excel at synthesizing complex scenes yet lack a direct mechanism for disentangling and customizing their underlying concepts from one-shot real-world…

cs.LG2026

Key-Embedded Privacy for Decentralized AI in Biomedical Omics

Rongyu Zhang, Hongyu Dong, Gaole Dai +13

The rapid adoption of data-driven methods in biomedicine has intensified concerns over privacy, governance, and regulation, limiting raw data sharing and hindering the assembly of…

cs.CV2025

ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better

Yuan Zhang, Ming Lu, Junwen Pan +4

Recent advances in multimodal reasoning models have demonstrated impressive capabilities across text and vision. However, even leading models exhibit redundant self-reflection when…

cs.CV2025

StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression

Yilong Chen, Xiang Bai, Zhibin Wang +4

Video Large Language Models (Video-LLMs) have demonstrated significant potential in the areas of video captioning, search, and summarization. However, current Video-LLMs still face…

cs.RO2025

RoboArmGS: High-Quality Robotic Arm Splatting via Bézier Curve Refinement

Hao Wang, Xiaobao Wei, Ying Li +6

Constructing photorealistic and controllable robotic arm digital assets from real observations is fundamental to robotic applications. Current approaches naively bind static 3D Gau…

cs.CV2025

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models

Yuming Li, Yikai Wang, Yuying Zhu +4

Recent progress in aligning image and video generative models with Group Relative Policy Optimization (GRPO) has improved human preference alignment, but existing variants remain i…