158 citations · 163 across the 3 of their papers we have counts for
4 papers · 1 filter
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
Guo-Ye Yang, Xiang-Li Li, Ralph R. Martin +1
Objects in aerial images have greater variations in scale and orientation than in typical images, so detection is more difficult. Convolutional neural networks use a variety of fre…
Can Attention Enable MLPs To Catch Up With CNNs?
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu +3
In the first week of May, 2021, researchers from four different institutions: Google, Tsinghua University, Oxford University and Facebook, shared their latest work [16, 7, 12, 17]…
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu +3
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Tra…
Shape retrieval of non-rigid 3d human models
David Pickup, Xianfang Sun, Paul L Rosin +28
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend…