Most online multi-object trackers perform object detection stand-alone in a neural net without
any input from tracking. In this paper, we present a new online joint detection and tracking …

Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

It has been well recognized that fusing the complementary information from depth-aware
LiDAR point clouds and semantic-rich stereo images would benefit 3D object detection …

The strong demand of autonomous driving in the industry has led to vigorous interest in 3D
object detection and resulted in many excellent 3D object detection algorithms. However …

Contrastive language-image pretraining (CLIP) has demonstrated remarkable success in
various image tasks. However, how to extend CLIP with effective temporal modeling is still …

Video object detection is a fundamental and important task in computer vision. One mainstay
solution for this task is to aggregate features from different frames to enhance the detection …