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cs.CV2026
CoFiE: Coarse-to-Fine Evidence Selection for Efficient Streaming Video Understanding
Jing Jiang, Yiran Ling, Ruonan Li +2
Streaming video understanding requires Vision Language Models (VLLMs) to process growing video streams and answer user questions under tight latency constraints. Existing methods i…
cs.CV2024★ 1 cited
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks
Simranjit Singh, Georgios Pavlakos, Dimitrios Stamoulis
As interest in "reformulating" the 3D Visual Question Answering (VQA) problem in the context of foundation models grows, it is imperative to assess how these new paradigms influenc…