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Xiaoyong Chen

3 accepted papers

2025

From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning

IJCAI 2025

Abstraction is a critical technique in general problem-solving, allowing complex tasks to be decomposed into smaller, manageable sub-tasks. While traditional symbolic planning relies on predefined primitive symbols to construct structured abstractions, its reliance on formal representations limits a

2025

Temporal Action Detection Model Compression by Progressive Block Drop

CVPR 2025poster

Temporal action detection (TAD) aims to identify and localize action instances in untrimmed videos, which is essential for various video understanding tasks. However, recent improvements in model performance, driven by larger feature extractors and datasets, have led to increased computational deman…

Cited by 0SourcePDFScholar
2024

Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions

CVPR 2024poster

Temporal action detection (TAD) aims to locate action positions and recognize action categories in long-term untrimmed videos. Although many methods have achieved promising results their robustness has not been thoroughly studied. In practice we observe that temporal information in videos can be occ…