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Konstantinos G. Derpanis

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs


Jan 28, 2021
Md Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce


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Shape or Texture: Understanding Discriminative Features in CNNs


Jan 27, 2021
Md Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Bjorn Ommer, Konstantinos G. Derpanis, Neil Bruce

* Accepted to ICLR 2021 

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Cycle-Consistent Generative Rendering for 2D-3D Modality Translation


Nov 16, 2020
Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson

* 3DV 2020 (oral). Project page: https://ttaa9.github.io/genren/ 

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Wavelet Flow: Fast Training of High Resolution Normalizing Flows


Oct 26, 2020
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker

* Manuscript appendix images compressed with JPEG to meet arXiv size limits. Visit the project page for PNG versions: https://yorkucvil.github.io/Wavelet-Flow 

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Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness


Aug 13, 2020
Md Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce

* Accepted to BMVC 2020 (Oral) 

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Learning to Correct Overexposed and Underexposed Photos


Mar 25, 2020
Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown


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End-to-End Learning of Representations for Asynchronous Event-Based Data


May 14, 2019
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza


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UAN: Unified Attention Network for Convolutional Neural Networks


Jan 16, 2019
Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi


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Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction


Jun 25, 2018
Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis

* 18 pages including appendix 

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Two-Stream Convolutional Networks for Dynamic Texture Synthesis


Apr 12, 2018
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis

* In proc. CVPR 2018. Full results available at https://ryersonvisionlab.github.io/two-stream-projpage/ 

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Predicting the Future with Transformational States


Mar 26, 2018
Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis

* 24 pages, including supplement 

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Segmentation-Aware Convolutional Networks Using Local Attention Masks


Aug 15, 2017
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos


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Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose


Jul 26, 2017
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis

* CVPR 2017 Camera Ready. Project Page: https://www.seas.upenn.edu/~pavlakos/projects/volumetric/ 

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6-DoF Object Pose from Semantic Keypoints


Mar 14, 2017
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis

* IEEE International Conference on Robotics and Automation (ICRA), 2017 

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Building Usage Profiles Using Deep Neural Nets


Feb 23, 2017
Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy

* Proceedings of the 39th International Conference on Software Engineering: New Ideas and Emerging Results Track (ICSE-NIER '17). IEEE Press, Piscataway, NJ, USA, 43-46, 2017 

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Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness


Aug 20, 2016
Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis


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Learning Dense Convolutional Embeddings for Semantic Segmentation


Jan 08, 2016
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos


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Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval


Feb 25, 2015
Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis


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