Video object detection, a basic task in the computer vision field, is rapidly evolving and
widely used. In recent years, deep learning methods have rapidly become widespread in the …

Detection Transformer (DETR) and Deformable DETR have been proposed to eliminate the
need for many hand-designed components in object detection while demonstrating good …

Recently, DETR and Deformable DETR have been proposed to eliminate the need for many
hand-designed components in object detection while demonstrating good performance as …

Video object detection (VID) is challenging because of the high variation of object
appearance as well as the diverse deterioration in some frames. On the positive side, the …

Video object detection needs to solve feature degradation situations that rarely happen in
the image domain. One solution is to use the temporal information and fuse the features from …

Object recognition in video is an important task for plenty of applications, including
autonomous driving perception, surveillance tasks, wearable devices or IoT networks …

Activity detection has wide-reaching applications in video surveillance, sports, and behavior
analysis. The existing literature in activity detection has mainly focused on benchmarks like …

视频目标检测是为了解决每一个视频帧中出现的目标如何进行定位和识别的问题.
相比于图像目标检测, 视频具有高冗余度的特性, 其中包含了大量的时空局部信息 …

Owing to their large field of view, overhead fisheye cameras are becoming a surveillance
modality of choice for large indoor spaces. However, traditional people detection and …

Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that
has yet to be thoroughly explored in existing research. To address this gap, we present …