Guocheng Qian

Guocheng Qian (钱国成) is currently working towards the MSc degree in the Department of Computer Science at King Abdullah University of Science and Technology (KAUST). He researches deep learning and computer vision at Image and Video Understanding Lab (IVUL), supervised by Prof. Bernard Ghanem. Guocheng received his B.Eng degree with first class honors from Xi’an Jiaotong University (XJTU), China in 2018. His research interests are in computer vision and deep learning, especially neural architecture search and point cloud processing.

News

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 : Our work DeepGCNs: Making GCNs Go as Deep as CNNs achieves SOTA on PPI. We also add experiment for PartNet. I implement the code.
2019/05/04 : I join Visual Computing Center at KAUST, working with Prof. Bernard Ghanem.
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.