1 citations · 1 across the 3 of their papers we have counts for
12 papers
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…
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…
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…
ACSEE: Antagonistic Crowd Simulation Model with Emotional Contagion and Evolutionary Game Theory
Chaochao Li, Pei Lv, Dinesh Manocha +4
Antagonistic crowd behaviors are often observed in cases of serious conflict. Antagonistic emotions, which is the typical psychological state of agents in different roles (i.e. cop…
Abnormal Event Detection and Location for Dense Crowds using Repulsive Forces and Sparse Reconstruction
Pei Lv, Shunhua Liu, Mingliang Xu +1
This paper proposes a method based on repulsive forces and sparse reconstruction for the detection and location of abnormal events in crowded scenes. In order to avoid the challeng…
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
Lisha Cui, Rui Ma, Pei Lv +4
For most of the object detectors based on multi-scale feature maps, the shallow layers are rich in fine spatial information and thus mainly responsible for small object detection.…