Biography

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Shiyi Lan is a Ph.D. student in Department of Computer Scienceat University of Maryland, College Park(UMD), supervised by
Prof. Larry S. Davis. He earned his Bachelor's degrees in Computer Science from Fudan University. Currently, he is research intern at NVIDIA AI Research supervised by Dr. Zhiding Yu and Prof. Animashree Anandkumar . His research interests lie in the field of
Scene Understanding, 2D and 3D Object Detection, Instance Segmentation, Correspondence Learning.

Publications

SaccadeNet: A Fast and Accurate Object Detector

Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua
Appeared at CVPR 2020 Virtual

Modeling local geometric structure of 3D point clouds using Geo-CNN

Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
Appeared at CVPR 2019 in Long Beach, CA

FastMask: Segment Multi-scale Object Candidates in One Shot

Hexiang Hu*, Shiyi Lan*, Yuning Jiang, Zhimin Cao, Fei Sha (*Equal contribution)
Appeared as a spotlight paper at CVPR 2017 in Honolulu, Hawaii

Timeline

Currently, I am pursuing Ph.D. supervised by Prof. Larry S. Davis in Computer Science at
University of Maryland, College Park.

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Larry S. Davis [at] UMD
2018

I visted the lab of FeiSha [at] USC and designing and experimenting models of video classification and representation.

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FeiSha [at] USC
2017

In 2016, I joined Megvii(Face++), a leading Chinese AI start-up, as a research intern, mentored by Mr. Yuning Jiang, and supervised by Dr. Jian Sun.

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Megvii(Face++)
2016

In 2015, I participated in ACM/ICPC and got No.17 (Silver First).

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ACM/ICPC
2015

In 2014, I became an undergraduate student majoring in Computer Science in Fudan University, China.

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Fudan Univeristy
2014