Xiaolong Li

Xiaolong Li was a Ph.D. student in the Bradley Department of Electrical and Computer Engineering. He was advised by A. Lynn Abbott.

His research is in the area of computer vision, with a focus on deep 3D representations learning for dynamic scene understanding.

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New! Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds

Xiaolong Li
In Proceedings of the NeurIPS, (pp 15370-15381),
Citatations: BibTeX

New! PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences

Xiaolong Li
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (pp 4418-4427),
Citatations: BibTeX

New! Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation

Xiaolong Li, A. Lynn Abbott
In Cornell University, : , 10/2021
Citatations: BibTeX