73 citations · 101 across the 8 of their papers we have counts for
8 papers
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking
Gaoang Wang, Renshu Gu, Zuozhu Liu +3
Vehicle tracking is an essential task in the multi-object tracking (MOT) field. A distinct characteristic in vehicle tracking is that the trajectories of vehicles are fairly smooth…
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…
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
Gaoang Wang, Yizhou Wang, Renshu Gu +2
Multi-object tracking (MOT) is an essential task in the computer vision field. With the fast development of deep learning technology in recent years, MOT has achieved great improve…
DAIL: Dataset-Aware and Invariant Learning for Face Recognition
Gaoang Wang, Lin Chen, Tianqiang Liu +2
To achieve good performance in face recognition, a large scale training dataset is usually required. A simple yet effective way to improve recognition performance is to use a datas…
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution
Renshu Gu, Gaoang Wang, Jenq-Neng Hwang
3D human pose estimation (HPE) is crucial in many fields, such as human behavior analysis, augmented reality/virtual reality (AR/VR) applications, and self-driving industry. Videos…
Eye in the Sky: Drone-Based Object Tracking and 3D Localization
Haotian Zhang, Gaoang Wang, Zhichao Lei +1
Drones, or general UAVs, equipped with a single camera have been widely deployed to a broad range of applications, such as aerial photography, fast goods delivery and most importan…