Object detection is a vital research direction in machine vision and deep learning. The object
detection technique based on deep understanding has achieved tremendous progress in …

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

Modeling temporal visual context across frames is critical for video instance segmentation
(VIS) and other video understanding tasks. In this paper, we propose a fast online VIS model …

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 Grounding (VOG) is the problem of associating spatial object regions in the
video to a descriptive natural language query. This is a challenging vision-language task …

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 …

Video object detection (VOD) focuses on detecting objects for each frame in a video, which
is a challenging task due to appearance deterioration in certain video frames. Recent works …

Visual tracking is a task of localizing a target unceasingly in a video with an initial target
state at the first frame. The limited target information makes this problem an extremely …

Abstract In Video Object Detection (VID), a common practice is to leverage the rich temporal
contexts from the video to enhance the object representations in each frame. Existing …

Video object detection is a tough task due to the severe appearance degradation caused by
rapid motion, sudden occlusion or rare poses. The great challenge facing video object …