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Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning


Jul 20, 2021
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer


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Towards Total Recall in Industrial Anomaly Detection


Jun 15, 2021
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter Gehler


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S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning


Oct 01, 2020
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi


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COVID-19 Image Data Collection: Prospective Predictions Are the Future


Jun 22, 2020
Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q Duong, Marzyeh Ghassemi

* Code for baseline experiments can be found here: https://github.com/mlmed/torchxrayvision/tree/master/scripts/covid-baselines 

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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning


Jun 06, 2020
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q Duong

* This work has been submitted to Radiology: Artificial Intelligence for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning


Apr 29, 2020
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

* 18 pages 

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Sharing Matters for Generalization in Deep Metric Learning


Apr 12, 2020
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer

* Technical Report 

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PADS: Policy-Adapted Sampling for Visual Similarity Learning


Mar 28, 2020
Karsten Roth, Timo Milbich, Björn Ommer

* Accepted to CVPR2020 

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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning


Mar 12, 2020
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen


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MIC: Mining Interclass Characteristics for Improved Metric Learning


Sep 25, 2019
Karsten Roth, Biagio Brattoli, Björn Ommer

* 8 pages, 10 figures, accepted to ICCV 2019 

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Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining


Aug 14, 2019
Karsten Roth, Jürgen Hesser, Tomasz Konopczyński


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Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function


May 09, 2019
Karsten Roth, Tomasz Konopczyński, Jürgen Hesser


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The Liver Tumor Segmentation Benchmark (LiTS)


Jan 13, 2019
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Eugene Vorontsov, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Gruen, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Marianne M. Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze

* conference 

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