activity
20152024
most citedA Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions

20 citations · 67 across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.CV2023

Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition

Yao Liu, Gangfeng Cui, Jiahui Luo +2

As a fundamental aspect of human life, two-person interactions contain meaningful information about people's activities, relationships, and social settings. Human action recognitio…

cs.CV2023

SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation

Changhong Fu, Liangliang Yao, Haobo Zuo +2

Domain adaptation (DA) has demonstrated significant promise for real-time nighttime unmanned aerial vehicle (UAV) tracking. However, the state-of-the-art (SOTA) DA still lacks the…

cs.CV20222 cited

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition

Mingfei Han, David Junhao Zhang, Yali Wang +4

Learning spatial-temporal relation among multiple actors is crucial for group activity recognition. Different group activities often show the diversified interactions between actor…

cs.CV2021

An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning

Yun Li, Zhe Liu, Lina Yao +3

Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observed classes to unseen classes via semantic correlations. A promising strategy is to learn a global-local repre…

cs.CV202118 cited

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions

Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh +3

Person re-identification (Re-ID) has been a significant research topic in the past decade due to its real-world applications and research significance. While supervised person Re-I…

cs.CV2019

A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging

Li Yao, Jordan Prosky, Ben Covington +1

This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging. Using a diverse collection of ten chest X…