Guocheng Qian

钱国成

PhD student in Computer Science

King Abdullah University of Science and Technology (KAUST)

Guocheng Qian

Guocheng Qian (钱国成) is currently a first-year Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST). He is part of the Image and Video Understanding Lab (IVUL) advised by Prof. Bernard Ghanem. Guocheng received his B.Eng degree with first class honors from Xi’an Jiaotong University (XJTU), China in 2018.

Guocheng is broadly interested in computer vision and deep learning. His current research focuses on graph convolutional network (GCN) and (self-supervised) point cloud perception.

Education

MSc in CS (3.95/4.0)
KAUST , 2019 - 2020
B.Eng in ME (3.93/4.3)
XJTU , 2014 - 2018
Exchange Program
HKUST , 2016

Internship

Computational Photograph Group
SenseTime, Shenzhen, 2018 - 2019

News

2020/12/18 : I receive my Master’s Degree in Computer Science! Congradulation to myself!!!
2020/12/01 : I write some random Deep Learning stuff on my blog Deep-Learning-PhD-Wiki. Keep updating!
2020/03/04 : Co-first authored paper SGAS (Sequential Greedy Architecture Search) get accepted to CVPR’20. See arxiv, project website and Code. I take care the GCN part. NEW!
2020/01/21 : I serve as Teaching Assistant for course: CS390D Deep Learning (2020 Spring)
2019/12/04 : First authored papaer “PU-GCN: Point Cloud Upsampling via Graph Convolutional Network” is available here paper, project website and code.
2019/10/15 : Co-first authored paper DeepGCNs: Making GCNs Go as Deep as CNNs achieves SOTA on PPI. We also add experiment for PartNet. I implement the code.
2019/05/03 : First authored paper “Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution” is available here arxiv. Release PixelShift200 dataset, a full color sampled dataset for demosaicking related research.
2018/07/10 : I graduate from Xi’an Jiaotong University with the highest undergraduate honor (with GPA 3.93/4.3).
2018/06/20 : I join Sensetime Research as a research intern, supervised by Jimmy S. Ren.