12 citations · 20 across the 4 of their papers we have counts for
4 papers · 1 filter
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds
Chenhang He, Ruihuang Li, Shuai Li +1
Transformer has demonstrated promising performance in many 2D vision tasks. However, it is cumbersome to compute the self-attention on large-scale point cloud data because point cl…
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
Ruihuang Li, Shuai Li, Chenhang He +3
Domain adaptive semantic segmentation aims to learn a model with the supervision of source domain data, and produce satisfactory dense predictions on unlabeled target domain. One p…
A Dual Weighting Label Assignment Scheme for Object Detection
Shuai Li, Chenhang He, Ruihuang Li +1
Label assignment (LA), which aims to assign each training sample a positive (pos) and a negative (neg) loss weight, plays an important role in object detection. Existing LA methods…
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
Chenhang He, Jianqiang Huang, Xian-Sheng Hua +1
Current geometry-based monocular 3D object detection models can efficiently detect objects by leveraging perspective geometry, but their performance is limited due to the absence o…