collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

CoMind: Understanding Collaborative Human Activity from Multiple Minds and Views

Alexey Gavryushin, Dingxi Zhang, Zhao Huang +8

Human-human collaboration is a fundamental aspect of everyday life, essential to success in a wide range of goal-directed activities from household tasks to professional teamwork.…

cs.CV2026

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends

Jiuming Liu, Chaojun Ni, Mengmeng Liu +7

With rapid development of large language models and diffusion-based content generation, world modeling has attracted increasing research attention, benefiting various downstream do…

cs.CV2026

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models

Marcel Gröpl, Jaewoo Jung, Seungryong Kim +2

Despite rapid progress, pretrained vision-language models still struggle when answers depend on tiny visual details or on combining clues spread across multiple regions, as in docu…

cs.CV2026

AdaptToken: Entropy-based Adaptive Token Selection for MLLM Long Video Understanding

Haozhe Qi, Kevin Qu, Mahdi Rad +3

Long video understanding remains challenging for Multi-modal Large Language Models (MLLMs) due to high memory costs and context-length limits. Prior approaches mitigate this by sco…

cs.CV2026

CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling

Sayan Deb Sarkar, Rémi Pautrat, Ondrej Miksik +4

Video Language Models (VideoLMs) enable AI systems to understand temporal dynamics in videos. To fit within the maximum context window constraint, current methods use keyframe samp…

cs.CV2026

Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments

Jonas Hein, Lilian Calvet, Matthias Seibold +3

Purpose: Accurate detection and 6D pose estimation of surgical instruments are crucial for many computer-assisted interventions. However, supervised methods lack flexibility for ne…