Guocheng Qian



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 include computer vision, computational photography and neural architecture search.


  • Computer Vision
  • Deep Learning
  • Computational Photography
  • Graph Convolutional Network



  • 2019/12/04 : Our preprint version of “PU-GCN: Point Cloud Upsampling via Graph Convolutional Network” is available here paper, project website and code. NEW!
  • 2019/12/03 : Our preprint version of “SGAS: Sequential Greedy Architecture Search” is avialble here arxiv and project website. I implement the NAS for GCNs, and code is available here sgas pytorch. NEW!
  • 2019/10/15 : Our work DeepGCNs: Making GCNs Go as Deep as CNNs achieves SOTA on PPI. I implement the code of Pytorch Version. NEW!
  • 2019/07/01 : Release PixelShift200 dataset, a full color sampled dataset for demosaicking related research.
  • 2019/05/04 : I join Visual Computing Center at KAUST, working with Prof. Bernard Ghanem.
  • 2019/05/03 : Our preprint version of “Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution” is available here arxiv.
  • 2018/07/10 : I graduate from Xi’an Jiaotong University with the highest undergraduate honor (GPA3.93/4.3).
  • 2018/06/20 : I join Sensetime Research as a research intern, supervised by Jimmy S. Ren.


Outstanding Student

Highest undergraduate honor

National First Class Scholarship



Research Intern

SenseTime Research

Jul 2018 – May 2019 China, Shenzen
Compuatational Photography. Paper TENet submitted.