122 citations · 300 across the 25 of their papers we have counts for
4 papers · 1 filter
Weakly-supervised Part-Attention and Mentored Networks for Vehicle Re-Identification
Lisha Tang, Yi Wang, Lap-Pui Chau
Vehicle re-identification (Re-ID) aims to retrieve images with the same vehicle ID across different cameras. Current part-level feature learning methods typically detect vehicle pa…
Multi-object Tracking with Tracked Object Bounding Box Association
Nanyang Yang, Yi Wang, Lap-Pui Chau
The CenterTrack tracking algorithm achieves state-of-the-art tracking performance using a simple detection model and single-frame spatial offsets to localize objects and predict th…
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification
Yunhao Zhou, Yi Wang, Lap-Pui Chau
Re-ranking utilizes contextual information to optimize the initial ranking list of person or vehicle re-identification (re-ID), which boosts the retrieval performance at post-proce…
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization
Yi Wang, Xinyu Hou, Lap-Pui Chau
In this paper, we propose a simple yet effective crowd counting and localization network named SCALNet. Unlike most existing works that separate the counting and localization tasks…