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Impact of Aliasing on Generalization in Deep Convolutional Networks

Aug 07, 2021
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin

* Accepted to ICCV 2021 

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Revisiting the Calibration of Modern Neural Networks

Jun 15, 2021
Matthias Minderer, Josip Djolonga, Rob Romijnders, Frances Hubis, Xiaohua Zhai, Neil Houlsby, Dustin Tran, Mario Lucic

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SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size

Apr 09, 2021
Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai

* 4 pages (10 pages including references and appendix), 10 figures. Accepted at the ICLR 2021 RobustML Workshop. arXiv admin note: text overlap with arXiv:2007.08558 

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Representation learning from videos in-the-wild: An object-centric approach

Oct 06, 2020
Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic

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On Robustness and Transferability of Convolutional Neural Networks

Jul 16, 2020
Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvan Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic

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Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision

Jul 16, 2019
Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman

* IEEE ITSC 2019 

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A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation

Sep 14, 2018
Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman

* IEEE WACV 2019 

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Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

Aug 19, 2017
Yu Zhao, Rennong Yang, Guillaume Chevalier, Rajiv Shah, Rob Romijnders

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Applying Deep Learning to Basketball Trajectories

Aug 16, 2016
Rajiv Shah, Rob Romijnders

* KDD 2016, Large Scale Sports Analytic Workshop 

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