Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation



Soumava Kumar Roy , Leonardo Citraro , Sina Honari , Pascal Fua


   Access Paper or Ask Questions

Overcoming the Domain Gap in Neural Action Representations



Semih Günel , Florian Aymanns , Sina Honari , Pavan Ramdya , Pascal Fua


   Access Paper or Ask Questions

Adversarial Parametric Pose Prior



Andrey Davydov , Anastasia Remizova , Victor Constantin , Sina Honari , Mathieu Salzmann , Pascal Fua


   Access Paper or Ask Questions

Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations



Semih Günel , Florian Aymanns , Sina Honari , Pavan Ramdya , Pascal Fua

* Accepted into NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice 

   Access Paper or Ask Questions

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation



Robin Chan , Krzysztof Lis , Svenja Uhlemeyer , Hermann Blum , Sina Honari , Roland Siegwart , Mathieu Salzmann , Pascal Fua , Matthias Rottmann

* 10 pages, 13 figures, website http://www.segmentmeifyoucan.com/ 

   Access Paper or Ask Questions

Detecting Road Obstacles by Erasing Them



Krzysztof Lis , Sina Honari , Pascal Fua , Mathieu Salzmann


   Access Paper or Ask Questions

Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation



Sina Honari , Victor Constantin , Helge Rhodin , Mathieu Salzmann , Pascal Fua


   Access Paper or Ask Questions

Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation



Edoardo Remelli , Shangchen Han , Sina Honari , Pascal Fua , Robert Wang

* Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2020 

   Access Paper or Ask Questions

U-Net Fixed-Point Quantization for Medical Image Segmentation



MohammadHossein AskariHemmat , Sina Honari , Lucas Rouhier , Christian S. Perone , Julien Cohen-Adad , Yvon Savaria , Jean-Pierre David

* Accepted to MICCAI 2019's Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention 

   Access Paper or Ask Questions

1
2
>>