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20212026
most citedRelaxed Transformer Decoders for Direct Action Proposal Generation

4 citations · 7 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation

Xiangyu Wu, Dongming Jiang, Feng Yu +5

Mainstream Test-Time Adaptation (TTA) methods for adapting vision-language models, e.g., CLIP, typically rely on Shannon Entropy (SE) at test time to measure prediction uncertainty…

cs.CV2025

CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model

Yuxuan Luo, Jiaqi Tang, Chenyi Huang +2

Chinese calligraphy, a UNESCO Heritage, remains computationally challenging due to visual ambiguity and cultural complexity. Existing AI systems fail to contextualize their intrica…

cs.CV2022★ 1 cited

Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach

Jiaqi Tang, Zhaoyang Liu, Jing Tan +3

Generic event boundary detection (GEBD) is an important yet challenging task in video understanding, which aims at detecting the moments where humans naturally perceive event bound…

cs.CV2021★ 1 cited

Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

Jiaqi Tang, Zhaoyang Liu, Chen Qian +2

Generic event boundary detection is an important yet challenging task in video understanding, which aims at detecting the moments where humans naturally perceive event boundaries.…

cs.CV2021★ 4 cited

Relaxed Transformer Decoders for Direct Action Proposal Generation

Jing Tan, Jiaqi Tang, Limin Wang +1

Temporal action proposal generation is an important and challenging task in video understanding, which aims at detecting all temporal segments containing action instances of intere…