86 citations · 102 across the 5 of their papers we have counts for
5 papers
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao, Chao Shi, Muming Zhao +2
This paper explores the problem of class-agnostic anomaly detection (AD), where the objective is to train one class-agnostic AD model that can generalize to detect anomalies in div…
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Accurate pedestrian classification and localization have received considerable attention due to their wide applications such as security monitoring, autonomous driving, etc. Althou…
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Pedestrian detection benefits greatly from deep convolutional neural networks (CNNs). However, it is inherently hard for CNNs to handle situations in the presence of occlusion and…
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling
Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood +3
Place Recognition enables the estimation of a globally consistent map and trajectory by providing non-local constraints in Simultaneous Localisation and Mapping (SLAM). This paper…
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks
Muming Zhao, Jian Zhang, Chongyang Zhang +1
High-density object counting in surveillance scenes is challenging mainly due to the drastic variation of object scales. The prevalence of deep learning has largely boosted the obj…