21 citations · 50 across the 5 of their papers we have counts for
9 papers
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
Chenyu Yang, Yuntao Chen, Hao Tian +9
We present a novel bird's-eye-view (BEV) detector with perspective supervision, which converges faster and better suits modern image backbones. Existing state-of-the-art BEV detect…
4D Unsupervised Object Discovery
Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang
Object discovery is a core task in computer vision. While fast progresses have been made in supervised object detection, its unsupervised counterpart remains largely unexplored. Wi…
Unsupervised Object Detection with LiDAR Clues
Hao Tian, Yuntao Chen, Jifeng Dai +2
Despite the importance of unsupervised object detection, to the best of our knowledge, there is no previous work addressing this problem. One main issue, widely known to the commun…
Sequence Level Semantics Aggregation for Video Object Detection
Haiping Wu, Yuntao Chen, Naiyan Wang +1
Video objection detection (VID) has been a rising research direction in recent years. A central issue of VID is the appearance degradation of video frames caused by fast motion. Th…
Revisiting Feature Alignment for One-stage Object Detection
Yuntao Chen, Chenxia Han, Naiyan Wang +1
Recently, one-stage object detectors gain much attention due to their simplicity in practice. Its fully convolutional nature greatly reduces the difficulty of training and deployme…
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Yuntao Chen, Chenxia Han, Yanghao Li +4
Object detection and instance recognition play a central role in many AI applications like autonomous driving, video surveillance and medical image analysis. However, training obje…