activity
20232026
most citedAction Recognition with Multi-stream Motion Modeling and Mutual Information Maximization

12 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

hep-ex2026

First Observation of \boldmath{ and } in \boldmath{ and } Decays

BESIII Collaboration, M. Ablikim, M. N. Achasov +756

We perform the first amplitude analysis of the singly Cabibbo-suppressed decays , using collision data collected with the BESIII detector…

hep-ex2026

Measurement of the branching fractions of via

BESIII Collaboration, M. Ablikim, M. N. Achasov +762

Using events collected with the BESIII detector operating at BEPCII, the branching fractions of () are mea…

cs.IR2025★ 6 cited

User Invariant Preference Learning for Multi-Behavior Recommendation

Mingshi Yan, Zhiyong Cheng, Fan Liu +2

In multi-behavior recommendation scenarios, analyzing users' diverse behaviors, such as click, purchase, and rating, enables a more comprehensive understanding of their interests,…

cs.CV2025

Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation

Haipeng Chen, Sifan Wu, Zhigang Wang +4

Video-based human pose estimation has long been a fundamental yet challenging problem in computer vision. Previous studies focus on spatio-temporal modeling through the enhancement…

cs.CV2024★ 7 cited

Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion

Yuheng Yang

Human skeleton-based action recognition has long been an indispensable aspect of artificial intelligence. Current state-of-the-art methods tend to consider only the dependencies be…

cs.CV2023★ 12 cited

Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization

Yuheng Yang, Haipeng Chen, Zhenguang Liu +5

Action recognition has long been a fundamental and intriguing problem in artificial intelligence. The task is challenging due to the high dimensionality nature of an action, as wel…