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Konstantinos G. Derpanis
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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