activity
20182022
most citedUser-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

9 citations · 15 across the 5 of their papers we have counts for

collaborators

15 papers

cs.CV20225 cited

Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition

Zhimin Gao, Peitao Wang, Pei Lv +5

Despite great progress achieved by transformer in various vision tasks, it is still underexplored for skeleton-based action recognition with only a few attempts. Besides, these met…

cs.CV20219 cited

User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

Pei Lv, Jianqi Fan, Xixi Nie +5

Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its usefulness in a wide variety of applications such as photography, film and television, e-c…

cs.SI2021

Agent-Based Campus Novel Coronavirus Infection and Control Simulation

Pei Lv, Quan Zhang, Boya Xu +5

Corona Virus Disease 2019 (COVID-19), due to its extremely high infectivity, has been spreading rapidly around the world and bringing huge influence to socioeconomic development as…

cs.CV2021

Probability Trajectory: One New Movement Description for Trajectory Prediction

Pei Lv, Hui Wei, Tianxin Gu +4

Trajectory prediction is a fundamental and challenging task for numerous applications, such as autonomous driving and intelligent robots. Currently, most of existing work treat the…

cs.GR2019

Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians

Chaochao Li, Pei Lv, Mingliang Xu +4

We present a novel trajectory prediction algorithm for pedestrians based on a personality-aware probabilistic feature map. This map is computed using a spatial query structure and…

cs.CV20191 cited

Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization

Pei Lv, Haiyu Yu, Junxiao Xue +5

Localizing objects with weak supervision in an image is a key problem of the research in computer vision community. Many existing Weakly-Supervised Object Localization (WSOL) appro…