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Training Generative Adversarial Networks for Optical Property Mapping using Synthetic Image Data


Mar 15, 2022
Ahmed Osman, Jane Crowley, George Gordon

* 17 pages 

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Towards Ground Truth Evaluation of Visual Explanations


Mar 16, 2020
Ahmed Osman, Leila Arras, Wojciech Samek

* 17 pages, 4 tables, 3 figures (plus appendix 9 pages) 

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DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks


Jul 27, 2019
Simon Wiedemann, Heiner Kirchoffer, Stefan Matlage, Paul Haase, Arturo Marban, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek


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Evaluating Recurrent Neural Network Explanations


Jun 04, 2019
Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek

* 14 pages, accepted for ACL'19 Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP 

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DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression


May 15, 2019
Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marban, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

* ICML 2019, Joint Workshop on On-Device Machine Learning and Compact Deep Neural Network Representations (ODML-CDNNR) 

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Dual Recurrent Attention Units for Visual Question Answering


Feb 01, 2018
Ahmed Osman, Wojciech Samek

* 10 pages, 5 figures 

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CloudCV: Large Scale Distributed Computer Vision as a Cloud Service


Feb 13, 2017
Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal, Neelima Chavali, Prakriti Banik, Akrit Mohapatra, Ahmed Osman, Dhruv Batra


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