153 citations · 525 across the 32 of their papers we have counts for
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cs.CV2022★ 5 cited
Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?
Yi Wang, Zhiwen Fan, Tianlong Chen +2
Vision Transformers (ViTs) have proven to be effective, in solving 2D image understanding tasks by training over large-scale image datasets; and meanwhile as a somehow separate tra…
cs.CV2022★ 2 cited
SEFormer: Structure Embedding Transformer for 3D Object Detection
Xiaoyu Feng, Heming Du, Yueqi Duan +2
Effectively preserving and encoding structure features from objects in irregular and sparse LiDAR points is a key challenge to 3D object detection on point cloud. Recently, Transfo…
cs.CV2022★ 69 cited
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan, Xin Yu, Yuhang Ding +2
Point cloud sequences are irregular and unordered in the spatial dimension while exhibiting regularities and order in the temporal dimension. Therefore, existing grid based convolu…