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Weichao Qiu (邱卫超)

Email: qiuwch at gmail dot com

A fifth-year computer science Ph.D student of Johns Hopkins University.

Advisor: Alan Yuille


Education

2016 – 2020
Ph.D. Student in Department of Computer Science, Johns Hopkins University (Transfered with Prof. Alan Yuille). Advisor: Prof. Alan Yuille
2014 - 2016
Ph.D. Student in Department of Statistics, UCLA. Advisor: Prof. Alan Yuille
2011 – 2014
Master student in Department of Electronics and Information Engineering, Huazhong University of Sci. and Tech. (HUST). Advisor: Prof. Xiang Bai
2007 – 2011
Bachelor in Department of Computer Science, HUST

Experience

2016.01 - 2020.12
Ph.D. student of Johns Hopkins University.
2018.01
Taught JHU intersession course Virtual Reality App Development
2017.06 - 2017.11
Research intern of Oculus Research, Pittsburgh, PA
2014.09 - 2016.01
Ph.D student of UCLA
  • Use Blender to generate synthetic human images with rich annotations, including keypoint and semantic part labeling.
2013.02 - 2013.11
Visiting Graduate Researcher, UCLA, Statistics, Supervised by Prof. Alan Yuille
  • Image IQ, Collaborate with Prof. Hongjing Lu
  • Psychophysical experiment to study human’s ability of recognizing object when they see images through aperture. Human’s ability of recognizing small patch can help understand how to encode local visual information.

  • Dense correspondence estimation, Collaborate with Prof. Zhuowen Tu
  • Extend SiftFlow algorithm by adding a scale field to solve large scale variance between two images

2010.09 - 2013.01
Research assistant in Multimedia and Communication lab, Supervised by Prof. Xiang Bai & Prof. Wenyu Liu
  • Vehicle Detection
  • Face recognition in unconstrained environment
2009.09 - 2010.06
President of Unique Studio, HUST
2009.07 - 2009.10
Intern of Microsoft Research, Asia, IEG (Innovation Engineering Group), Beijing

Publication

  • Jiteng Mu*, Weichao Qiu*, Gregory Hager, Alan Yuille. "Learning from Synthetic Animals", CVPR 2020 (oral)
    [code]
  • Michelle Shu, Chenxi Liu, Weichao Qiu, Alan Yuille. "Identifying model weakness with adversarial examiner", AAAI 2020
  • Jialing Lyu, Weichao Qiu, Alan Yuille. "Identity Preserve Transform: Understand What Activity Classification Models Have Learnt", CVPR 2020 workshop
  • Zhe Zhang, Chunyu Wang, Weichao Qiu, Wenhu Qin, Wenjun Zeng. "AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild", IJCV 2020
  • Yiming Zuo*, Weichao Qiu*, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan Yuille. "CRAVES: Controlling Robotic Arm with a Vision-based, Economic System", CVPR 2019
    [project] [code]
  • Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi Keung Tang, and Alan Yuille. "Adversarial Attacks Beyond the Image Space", CVPR 2019 (oral)
  • Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, Alan Yuille. "Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data", ICCV 2019
  • Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan Yuille. "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", BMVC 2018 (oral)
    [pdf] [poster]
  • Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan Yuille. "Unrealstereo: A synthetic dataset for analyzing stereo vision", 3DV 2018 (oral)
    [pdf]
  • Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille. "ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond", ICCV 2017
    [pdf] [code]
  • Weichao Qiu, Alan Yuille. "UnrealCV: Connecting Computer Vision to Unreal Engine", ECCV 2016 VARVAI workshop
    [project] [code] [pdf] [poster]
  • Weichao Qiu, "Generating Human Images and Ground Truth using Computer Graphics", Master Thesis of UCLA, Statistics
    [pdf] [code]
  • Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, Zhuowen Tu. "Scale-Space SIFT Flow", WACV 2014
    [pdf] [code] [book chapter]
  • Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan Yuille, Zhuowen Tu. "Robust L2E Estimation of Transformation for Non-Rigid Registration", TSP 2015
* indicates equal contribution

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