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cs.CV2026
Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark
Seng Nam Chen, Hao Chen, Chenglam Ho +4
Long video understanding (LVU) remains a core challenge in multimodal learning. Although recent vision-language models (VLMs) have made notable progress, existing benchmarks mainly…
cs.CV2024★ 3 cited
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
Yiming Sun, Fan Yu, Shaoxiang Chen +5
Visual object tracking aims to locate a targeted object in a video sequence based on an initial bounding box. Recently, Vision-Language~(VL) trackers have proposed to utilize addit…