Kosta Derpanis

Associate Professor. CS. Computer Vision. Machine Learning

I am an Associate Professor in the Department of Electical Engineering and Computer Science at York University, Toronto, Canada. I am also a Vector Institute Faculty Affiliate and a Visting Professor at the Samsung AI Centre Toronto. I am currently serving as an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence.

I received an Honours BSc in Computer Science from the University of Toronto and both my MSc (co-supervised by John Tsotsos and Richard Wildes) and PhD (supervised by Richard Wildes) degrees in Computer Science from York University. I was a postdoc in the GRASP lab at the University of Pennsylvania with Kostas Daniilidis.

Research Interests: Computer Vision, Deep Learning, Image Processing

I have MSc and PhD openings for Fall 2023. If interested, please fill out this survey. Due to the high volume nature of the graduate admissions process, I will not be replying to email inquiries. If there is a potential fit with my research program, I will contact you.


Mar 3, 2022 Two papers at CVPR 2022
Jan 1, 2022 Serving as an Area Chair for ECCV 2022 and Social Media Chair for CVPR 2022, ECCV, 2022 and ICCV 2023.
Oct 13, 2021 We have funded MSc & PhD openings for Fall 2022: link.
Sep 28, 2021 Paper acceped to NeurIPS 2021.
Jul 22, 2021 Paper acceped to ICCV 2021.

selected publications (see Google Scholar for full list)

  1. NeurIPS
    Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
    Dvornik, Nikita, Hadji, Isma, Derpanis, Konstantinos G., Garg, Animesh, and Jepson, Allan D.
    In NeurIPS 2021
  2. ICCV
    Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
    Islam, Md. Amirul, Kowal, Matthew, Jia, Sen, Derpanis, Konstantinos G., and Bruce, Neil D. B.
    In ICCV 2021
  3. CVPR
    Stochastic Image-to-Video Synthesis using cINNs
    Dorkenwald, Michael, Milbich, Timo, Blattmann, Andreas, Rombach, Robin, Derpanis, Konstantinos G., and Ommer, Bjorn
    In CVPR 2021
  4. CVPR
    Representation Learning via Global Temporal Alignment and Cycle-Consistency
    Hadji, Isma, Derpanis, Konstantinos G., and Jepson, Allan D.
    In CVPR 2021
  5. CVPR
    Learning Multi-Scale Photo Exposure Correction
    Afifi, Mahmoud, Derpanis, Konstantinos G., Ommer, Bjorn, and Brown, Michael S.
    In CVPR 2021
  6. ICLR
    Shape or Texture: Understanding Discriminative Features in CNNs
    Islam, Md. Amirul, Kowal, Matthew, Esser, Patrick, Jia, Sen, Ommer, Bjorn, Derpanis, Konstantinos G., and Bruce, Neil D. B.
    In ICLR 2021
  7. NeurIPS
    Wavelet Flow: Fast Training of High Resolution Normalizing Flows
    Yu, Jason J., Derpanis, Konstantinos G., and Brubaker, Marcus A.
    In NeurIPS 2020
  8. CVPR
    Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
    Pavlakos, Georgios, Zhou, Xiaowei, Derpanis, Konstantinos G., and Daniilidis, Kostas
    In CVPR 2017