Sina Honari

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Adversarial Parametric Pose Prior  
Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, and Pascal Fua.
Computer Vision and Pattern Recognition (CVPR), 2022, Oral (4% of submissions) [paper][slides][poster][code].




Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation  
Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, and Pascal Fua.
ArXiv pre-print, 2021 [paper].







Detecting Road Obstacles by Erasing Them  
Krzysztof Lis, Sina Honari, Pascal Fua, and Mathieu Salzmann.
ArXiv pre-print, 2021 [paper]].








Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics  
Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, and Sina Honari,
Neural Information Processing Systems (NeurIPS), 2021 [paper][slides][video][code].




SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation  
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, and Matthias Rottmann.
Neural Information Processing Systems (NeurIPS), 2021 [paper][slides][website][code].




Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests  
Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, and Christopher Pal.
Openreview pre-print, 2021 [paper].




Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation  
Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, and Robert Wang.
Computer Vision and Pattern Recognition (CVPR), 2020 [paper][slides][video][code].




On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, and Christopher Pal.
Neural Information Processing Systems (NeurIPS), 2019 [paper][poster][video][code].




U-Net Fixed-Point Quantization for Medical Image Segmentation
MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, and Jean-Pierre David.
Medical Image Computing and Computer Assisted Intervention (MICCAI)-Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention workshop, 2019 [paper][slides][code].



Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte,
Sina Honari, and Christopher Pal.
Neural Information Processing Systems (NIPS), 2018 [paper][slides][poster][video][code].



Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen, Margaux Luck, and Sina Honari.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, Oral (4% of submissions) [paper][poster][slides].





How to Cure Cancer (in images) with Unpaired Image Translation
Joseph Paul Cohen, Margaux Luck, and Sina Honari.
Medical Imaging with Deep Learning (MIDL), 2018 [paper].






Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, and Jan Kautz.
Computer Vision and Pattern Recognition (CVPR), 2018 [paper][poster][slides][video].






Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, and Tae-Kyun Kim.
Computer Vision and Pattern Recognition (CVPR), 2018, spotlight presentation (6.7% of submissions) [paper][poster][slides].


Learning to generate samples from noise through infusion training
Florian Bordes, Sina Honari, and Pascal Vincent.
International Conference on Learning Representations (ICLR), 2017 [paper][code][poster].




Recombinator networks: Learning coarse-to-fine feature aggregation
Sina Honari, Jason Yosinski, Pascal Vincent, and Christopher Pal.
Computer Vision and Pattern Recognition (CVPR), 2016, spotlight presentation (9.7% of submissions) [paper][code][poster][slides].




Improving facial analysis and performance driven animation through disentangling identity and expression
David Rim, Sina Honari, Md Kamrul Hasan, and Christopher Pal.
Image and Vision Computing Journal, 2016 [paper].