Sina Honari

According to our database, Sina Honari authored at least 33 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting Road Obstacles by Erasing Them.

Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Occlusion Resilient 3D Human Pose Estimation.

Soumava Kumar Roy, Ilia Badanin, Sina Honari, Pascal Fua

CoRR, 2024

2023

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation.

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

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Perspective Aware Road Obstacle Detection.

Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann

IEEE Robotics Autom. Lett., April, 2023

Visual question answering from another perspective: CLEVR mental rotation tests.

Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, Christopher Pal

Pattern Recognit., April, 2023

Overcoming the Domain Gap in Neural Action Representations.

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

Int. J. Comput. Vis., March, 2023

2022

AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers.

Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann

CoRR, 2022

Unsupervised 3D Keypoint Estimation with Multi-View Geometry.

Sina Honari, Pascal Fua

CoRR, 2022

Adversarial Parametric Pose Prior.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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

Proceedings of the International Conference on 3D Vision, 2022

2021

Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations.

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

CoRR, 2021

Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics.

Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, Sina Honari

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation.

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

CoRR, 2020

Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

On Adversarial Mixup Resynthesis.

Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Adversarial Mixup Resynthesizers.

Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Unsupervised Depth Estimation, 3D Face Rotation and Replacement.

Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation.

Joseph Paul Cohen, Margaux Luck, Sina Honari

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals.

Shanxin Yuan, Guillermo Garcia-Hernando, Björn 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 A. Argyros, Tae-Kyun Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Improving Landmark Localization With Semi-Supervised Learning.

Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

3D Hand Pose Estimation: From Current Achievements to Future Goals.

Shanxin Yuan, Guillermo Garcia-Hernando, Björn 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 A. Argyros, Tae-Kyun Kim

CoRR, 2017

Learning to Generate Samples from Noise through Infusion Training.

Florian Bordes, Sina Honari, Pascal Vincent

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Improving facial analysis and performance driven animation through disentangling identity and expression.

David Rim, Sina Honari, Md. Kamrul Hasan, Christopher J. Pal

Image Vis. Comput., 2016

Theano: A Python framework for fast computation of mathematical expressions.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation.

Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2013

Uncertainty-Based Trust estimation in a Multi-Valued Trust Environment.

Sina Honari, Brigitte Jaumard, Jamal Bentahar

Int. J. Artif. Intell. Tools, 2013

2012

An Approach on Merging Agents' Trust Distributions in a Possibilitic Domain.

Sina Honari, Brigitte Jaumard, Jamal Bentahar

Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012

Merging Successive Possibility Distributions for Trust Estimation under Uncertainty in Multi-agent Systems.

Sina Honari, Brigitte Jaumard, Jamal Bentahar

Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

2011

Under Uncertainty Trust Estimation through Unknown Agents, in a Multi-valued Trust Environment.

Sina Honari, Brigitte Jaumard, Jamal Bentahar

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2008

Simulating new markets by introducing new accepting policies for the conventional continuous double auction.

Sina Honari, Maziar Gomrokchi, Mojtaba Ebadi, Amin Fos-hati, Jamal Bentahar

Proceedings of the 2008 Spring Simulation Multiconference, 2008

Evaluation of PersianCAT Agent's Accepting Policy in Continuous Double Auction, Participant in CAT 2007 Competition.

Sina Honari, Amin Fos-hati, Mojtaba Ebadi, Maziar Gomrokchi

Proceedings of the Advances in Computer Science and Engineering, 2008