[논문리뷰] HiMu: Hierarchical Multimodal Frame Selection for Long Video Question AnsweringarXiv에 게시된 'HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering' 논문에 대한 자세한 리뷰입니다.#Review#Video Question Answering#Frame Selection#Neuro-Symbolic Reasoning#Multimodal Understanding#Long Video2026년 3월 22일댓글 수 로딩 중
[논문리뷰] HERBench: A Benchmark for Multi-Evidence Integration in Video Question AnsweringarXiv에 게시된 'HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering' 논문에 대한 자세한 리뷰입니다.#Review#Video Question Answering#Multi-evidence Integration#Video-LLMs#Benchmark#Temporal Reasoning#Frame Selection#Evidential Requirement#MRFS2025년 12월 21일댓글 수 로딩 중
[논문리뷰] OneStory: Coherent Multi-Shot Video Generation with Adaptive MemoryarXiv에 게시된 'OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory' 논문에 대한 자세한 리뷰입니다.#Review#Multi-Shot Video Generation#Adaptive Memory#Long-Range Context#Frame Selection#Diffusion Models#Image-to-Video#Autoregressive Generation#Narrative Coherence2025년 12월 9일댓글 수 로딩 중
[논문리뷰] Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived DatasetsAvishai Weizman이 arXiv에 게시한 'Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets' 논문에 대한 자세한 리뷰입니다.#Review#Data Leakage#Video Datasets#Clustering#Frame Selection#Deep Learning#Object Detection#Dataset Partitioning#Dimensionality Reduction2025년 11월 30일댓글 수 로딩 중