collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

Turns Matter: Advancing Streaming Video RL via Turn-Level Credit

Shuai Dong, Kanghui Tian, Linghan Chen +20

Streaming video understanding requires models to repeatedly decide whether to respond or continue observing. Recently, Group Relative Policy Optimization (GRPO) has been applied to…

cs.CV2026

SafeRI: Recognition and Intervention for Token-Level Safety Intervention in Large Vision Language Models

Caoyuan Ma, Tian Gu, Wenpu Liu +11

Existing safety alignment methods for vision-language models usually modify the model behavior globally: once the safety parameters are trained or loaded, they participate in both…

cs.CV2026

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning

Caoyuan Ma, Wenpu Liu, Weichu Xie +12

Large vision-language models (LVLMs) remain vulnerable to jailbreak attacks that exploit visual inputs to bypass safety alignment inherited from their language backbones. We propos…

cs.CV2026

OSEF: One-Step Evidence Fusion for Cross-Video Scene Procedure Planning

Zhentong Ye, Lei Zhang, Sijia Zhou +7

Video Scene Procedure Planning (VSPP) supplies the target start-goal observations in advance, leaving open how a planner should act when the evidence must itself be retrieved. We i…

cs.CV2026

ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation

Kanghui Tian, Siyuan Liu, Ziang Yan +3

On-policy distillation (OPD) improves reasoning by training a student on trajectories sampled from its own policy under supervision from a teacher. In multimodal reasoning, a commo…

cs.CV2026

AdaCodec: A Predictive Visual Code for Video MLLMs

Haowen Hou, Zhen Huang, Zheming Liang +8

Video is temporally redundant: adjacent frames usually share most objects, background, and layout. Yet existing video multimodal large language models (video MLLMs) usually encode…

cs.CV2026

Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual Reasoning

Jiawei Guo, Yu Chen, Xiang Wang +6

Recent latent visual reasoning methods achieve substantial gains by inserting continuous latent tokens into multimodal language models. These gains are commonly attributed to the t…