Visual-based perception is the key module for autonomous driving. Among those visual
perception tasks, video object detection is a primary yet challenging one because of feature …

Visual-based perception is the key module for autonomous driving. Among those visual
perception tasks, video object detection is a primary yet challenging one because of feature …

We present a video representation learning framework for real-time video object detection.
Our approach is based on the interesting observation that a powerful prior knowledge of …

How do humans recognize an object in a piece of video? Due to the deteriorated quality of
single frame, it may be hard for people to identify an occluded object in this frame by just …

Video object detection task has received extensive research attention and various methods
have been proposed. The quality of single frame in the original video is usually deteriorated …

Consecutive frames in a video contain redundancy, but they may also contain relevant
complementary information for the detection task. The objective of our work is to leverage …

We present an Object-aware Feature Aggregation (OFA) module for video object detection
(VID). Our approach is motivated by the intriguing property that video-level object-aware …

Transferring image-based object detectors to the domain of videos remains a challenging
problem. Previous efforts mostly exploit optical flow to propagate features across frames …

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 has attracted increasing attention in recent years. Although great
success has been achieved by off-the-shelf video object detection methods through …