6 citations · 11 across the 5 of their papers we have counts for
5 papers
One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding
Zheyu Zhang, Ziqi Pang, Shixing Chen +3
Long video understanding is inherently challenging for vision-language models (VLMs) because of the extensive number of frames. With each video frame typically expanding into tens…
Scalable Temporal Localization of Sensitive Activities in Movies and TV Episodes
Xiang Hao, Jingxiang Chen, Shixing Chen +2
To help customers make better-informed viewing choices, video-streaming services try to moderate their content and provide more visibility into which portions of their movies and T…
Robust Cross-Modal Representation Learning with Progressive Self-Distillation
Alex Andonian, Shixing Chen, Raffay Hamid
The learning objective of vision-language approach of CLIP does not effectively account for the noisy many-to-many correspondences found in web-harvested image captioning datasets,…
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
Shixing Chen, Chun-Hao Liu, Xiang Hao +3
Understanding scenes in movies is crucial for a variety of applications such as video moderation, search, and recommendation. However, labeling individual scenes is a time-consumin…
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
Shixing Chen, Xiaohan Nie, David Fan +3
Scenes play a crucial role in breaking the storyline of movies and TV episodes into semantically cohesive parts. However, given their complex temporal structure, finding scene boun…