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cs.CV2025
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
Ruizhe Chen, Zhiting Fan, Tianze Luo +7
Video Temporal Grounding (VTG) aims to localize relevant temporal segments in videos given natural language queries. Despite recent progress with large vision-language models (LVLM…
cs.CV2025
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding
Heqing Zou, Tianze Luo, Guiyang Xie +7
Multimodal large language models have become a popular topic in deep visual understanding due to many promising real-world applications. However, hour-long video understanding, spa…
cs.CV2024
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
Heqing Zou, Tianze Luo, Guiyang Xie +8
The integration of Large Language Models (LLMs) with visual encoders has recently shown promising performance in visual understanding tasks, leveraging their inherent capability to…