activity
20212026
most citedRelaxed Transformer Decoders for Direct Action Proposal Generation

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

collaborators

8 papers

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.CL2025

ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall

Jiayu Yang, Yuxuan Fan, Songning Lai +5

Large Language Models (LLMs) require efficient knowledge editing (KE) to update factual information, yet existing methods exhibit significant performance decay in multi-hop factual…

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.CL2025★ 1 cited

Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference

Qingfa Xiao, Jiachuan Wang, Haoyang Li +6

Recent advances in large language models (LLMs) have showcased exceptional performance in long-context tasks, while facing significant inference efficiency challenges with limited…

stat.ML2025

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

Jiaqi Tang, Yuling Yan

Score-based generative models, which transform noise into data by learning to reverse a diffusion process, have become a cornerstone of modern generative AI. This paper contributes…

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…