6 papers
Trinity: One Differentiable Physics for Training, Refining and Scoring Generative Floorplanners
Shih-Ying Yeh, Tzu-Sian Wang, Xuehai Wang +7
Floorplanning arranges the blocks of a chip and decides their shapes under objectives that press blocks together, short wirelength and a small outline, and constraints that hold th…
TT-VidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
Shih-Ying Yeh, Daniel Z. Kaplan, Xuehai Wang +3
Comparisons in video self-supervised learning often evaluate complete training recipes rather than isolating the method itself: architecture, objective, data exposure, schedule, sc…
VADER: Towards Causal Video Anomaly Understanding with Relation-Aware Large Language Models
Ying Cheng, Yu-Ho Lin, Min-Hung Chen +2
Video anomaly understanding (VAU) aims to provide detailed interpretation and semantic comprehension of anomalous events within videos, addressing limitations of traditional method…
MovieCORE: COgnitive REasoning in Movies
Gueter Josmy Faure, Min-Hung Chen, Jia-Fong Yeh +5
This paper introduces MovieCORE, a novel video question answering (VQA) dataset designed to probe deeper cognitive understanding of movie content. Unlike existing datasets that foc…
HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen +3
Long-form video understanding presents unique challenges that extend beyond traditional short-video analysis approaches, particularly in capturing long-range dependencies, processi…
Spatio-Temporal Context Prompting for Zero-Shot Action Detection
Wei-Jhe Huang, Min-Hung Chen, Shang-Hong Lai
Spatio-temporal action detection encompasses the tasks of localizing and classifying individual actions within a video. Recent works aim to enhance this process by incorporating in…