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cs.CV2026
Crab: A Scalable and Unified Audio-Visual Scene Understanding Model with Explicit Cooperation
Dongnuan Cai, Henghui Du, Chang Zhou +5
Developing Audio-Visual Large Language Models (AV-LLMs) for unified scene understanding is pivotal in multimodal intelligence. While instruction tuning enables pre-trained models w…
cs.CV2026
APPO: Attention-guided Perception Policy Optimization for Video Reasoning
Henghui Du, Chang Zhou, Xi Chen +1
Complex video reasoning, actually, relies excessively on fine-grained perception rather than on expert (e.g., Ph.D, Science)-level reasoning. Through extensive empirical observatio…
cs.CV2026
Video Detective: Seek Critical Clues Recurrently to Answer Question from Long Videos
Henghui Du, Chunjie Zhang, Xi Chen +2
Long Video Question-Answering (LVQA) presents a significant challenge for Multi-modal Large Language Models (MLLMs) due to immense context and overloaded information, which could a…