Weichao Qiu
Scholar

Weichao Qiu

Google Scholar ID: 9_AUwFUAAAAJ
Researcher, Huawei
computer visionmachine learningcognitive science
Citations & Impact
All-time
Citations
1,887
 
H-index
18
 
i10-index
24
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • CVPR 2020 (oral): 'Learning from Synthetic Animals'
  • AAAI 2020: 'Identifying model weakness with adversarial examiner'
  • CVPR 2020 Workshop: 'Identity Preserve Transform: Understand What Activity Classification Models Have Learnt'
  • IJCV 2020: 'AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild'
  • CVPR 2019: 'CRAVES: Controlling Robotic Arm with a Vision-based, Economic System'
  • CVPR 2019 (oral): 'Adversarial Attacks Beyond the Image Space'
  • ICCV 2019: 'Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data'
  • BMVC 2018 (oral): 'SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data'
  • 3DV 2018 (oral): 'Unrealstereo: A synthetic dataset for analyzing stereo vision'
  • ICCV 2017: 'ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond'
  • ECCV 2016 VARVAI Workshop: 'UnrealCV: Connecting Computer Vision to Unreal Engine'
Research Experience
  • 2016.01–2020.12: Ph.D. student at Johns Hopkins University; used Unreal Engine (UE4) to build virtual worlds for training and diagnosing computer vision algorithms; developed the UE4 plugin UnrealCV (unrealcv.org); maintained a curated list of applications of synthetic data in computer vision
  • 2018.01: Taught JHU intersession course 'Virtual Reality App Development'
  • 2017.06–2017.11: Research intern at Oculus Research, Pittsburgh, PA
  • 2014.09–2016.01: Ph.D. student at UCLA; used Blender to generate synthetic human images with rich annotations including keypoints and semantic part labels
  • 2013.02–2013.11: Visiting Graduate Researcher at UCLA Statistics, supervised by Prof. Alan Yuille; collaborated on Image IQ project with Prof. Hongjing Lu studying human object recognition through apertures; worked on dense correspondence estimation with Prof. Zhuowen Tu, extending SiftFlow with a scale field
  • 2010.09–2013.01: Research assistant at Multimedia and Communication Lab, HUST, supervised by Profs. Xiang Bai and Wenyu Liu; worked on vehicle detection and face recognition in unconstrained environments
  • 2009.07–2009.10: Intern at Microsoft Research Asia, Innovation Engineering Group (IEG), Beijing