62 citations · 122 across the 7 of their papers we have counts for
7 papers
GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding
Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang +3
Gait recognition, which refers to the recognition or identification of a person based on their body shape and walking styles, derived from video data captured from a distance, is w…
Package Theft Detection from Smart Home Security Cameras
Hung-Min Hsu, Xinyu Yuan, Baohua Zhu +2
Package theft detection has been a challenging task mainly due to lack of training data and a wide variety of package theft cases in reality. In this paper, we propose a new Global…
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
Jerrick Liu, Nathan Inkawhich, Oliver Nina +30
In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This challenge is comp…
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment
Yizhou Wang, Gaoang Wang, Hung-Min Hsu +2
Radar has long been a common sensor on autonomous vehicles for obstacle ranging and speed estimation. However, as a robust sensor to all-weather conditions, radar's capability has…
Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model
Hung-Min Hsu, Jiarui Cai, Yizhou Wang +2
In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT) of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based…
Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model
Hung-Min Hsu, Yizhou Wang, Jenq-Neng Hwang
Multi-target multi-camera tracking (MTMCT), i.e., tracking multiple targets across multiple cameras, is a crucial technique for smart city applications. In this paper, we propose a…
IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency
Jiarui Cai, Yizhou Wang, Haotian Zhang +3
Multiple object tracking (MOT) is a crucial task in computer vision society. However, most tracking-by-detection MOT methods, with available detected bounding boxes, cannot effecti…