2020

  1. Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks Arefin, Rifat, Michalski, Vincent, St-Charles, Pierre-Luc, Kalaitzis, Alfredo, Kim, Sookyung, Kahou, Samira E, and Bengio, Yoshua In CVPR workshop EarthVision 2020

2019

  1. Simple Video Generation using Neural ODEs Kanaa*, David, Voleti*, Vikram, Kahou, Samira, and Pal, Christopher NeurIPS workshop LIRE 2019
  2. HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion Deudon*, Michel, Kalaitzis*, Alfredo, Goytom, Israel, Arefin, Rifat, Lin, Zhichao, Sankaran, Kris, Michalski, Vincent, Kahou, Samira E, Cornebise, Julien, and Bengio, Yoshua NeurIPS workshop SEDL 2019 [Code]
  3. [CoRL]
    Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments Weiss, Martin, Chamorro, Simon, Girgis, Roger, Luck, Margaux, Kahou, Samira E, Cohen, Joseph P, Nowrouzezahrai, Derek, Precup, Doina, Golemo, Florian, and Pal, Chris Conference on Robot Learning 2019 [Project Page]
  4. [ICCV19]
    Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction El-Nouby, Alaaeldin, Sharma, Shikhar, Schulz, Hannes, Hjelm, Devon, Asri, Layla El, Kahou, Samira Ebrahimi, Bengio, Yoshua, and Taylor, Graham W In International Conference on Computer Vision 2019
  5. [ICML]
    Dead-ends and Secure Exploration in Reinforcement Learning Fatemi, Mehdi, Sharma, Shikhar, Van Seijen, Harm, and Kahou, Samira Ebrahimi In International Conference on Machine Learning 2019
  6. An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation Michalski, Vincent, Voleti, Vikram, Kahou, Samira Ebrahimi, Ortiz, Anthony, Vincent, Pascal, Pal, Chris, and Precup, Doina ICML workshop Understanding and Improving Generalization in Deep Learning 2019
  7. [AAAI]
    Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies Chandar*, Sarath, Sankar*, Chinnadhurai, Vorontsov, Eugene, Kahou, Samira Ebrahimi, and Bengio, Yoshua Association for the Advancement of Artificial Intelligence 2019
  8. [WACV]
    Deep-hurricane-tracker: Tracking and forecasting extreme climate events Kim, Sookyung, Kim, Hyojin, Lee, Joonseok, Yoon, Sangwoong, Kahou, Samira Ebrahimi, Kashinath, Karthik, and Prabhat, Mr In Winter Conference on Applications of Computer Vision 2019, earlier version was presented at Climate Informatics 2018 (spotlight oral)

2018

  1. [NeurIPS]
    Towards deep conversational recommendations Li, Raymond, Kahou, Samira Ebrahimi, Schulz, Hannes, Michalski, Vincent, Charlin, Laurent, and Pal, Chris In Advances in Neural Information Processing Systems 2018 [Project Page]
  2. Chatpainter: Improving text to image generation using dialogue Sharma, Shikhar, Suhubdy, Dendi, Michalski, Vincent, Kahou, Samira Ebrahimi, and Bengio, Yoshua ICLR workshop 2018
  3. Figureqa: An annotated figure dataset for visual reasoning Kahou*, Samira Ebrahimi, Michalski*, Vincent, Atkinson, Adam, Kádár, Ákos, Trischler, Adam, and Bengio, Yoshua ICLR workshop 2018, also oral presentation at Montréal AI Symposium 2017 [Code] [Project Page]

2017

  1. [NeurIPS]
    Extremeweather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events Racah, Evan, Beckham, Christopher, Maharaj, Tegan, Kahou, Samira Ebrahimi, Prabhat, Mr, and Pal, Chris In Advances in Neural Information Processing Systems 2017 [Project Page]
  2. Segmenting and tracking extreme climate events using neural networks Kim, Sookyung, Mudigonda, Mayur, Mahesh, Ankur, Kahou, Samira, Kashinath, Karthik, Williams, Dean, Michalski, Vincent, O’Brien, Travis, and Prabhat, Mr NeurIPS workshop Deep Learning for Physical Science 2017
  3. [ICCV17]
    The "Something Something" Video Database for Learning and Evaluating Visual Common Sense Goyal, Raghav, Kahou, Samira Ebrahimi, Michalski, Vincent, Materzynska, Joanna, Westphal, Susanne, Kim, Heuna, Haenel, Valentin, Fruend, Ingo, Yianilos, Peter, Mueller-Freitag, Moritz, and others, In International Conference on Computer Vision 2017 [Project Page]
  4. RATM: Recurrent attentive tracking model Ebrahimi Kahou, Samira, Michalski, Vincent, Memisevic, Roland, Pal, Christopher, and Vincent, Pascal In CVPR workshop Brave New Ideas in Motion Representations 2017, oral presentation [Code]
  5. [ICLR]
    Do deep convolutional nets really need to be deep and convolutional? Urban, Gregor, Geras, Krzysztof J, Kahou, Samira Ebrahimi, Aslan, Ozlem, Wang, Shengjie, Caruana, Rich, Mohamed, Abdelrahman, Philipose, Matthai, and Richardson, Matt International Conference on Learning Representations 2017

2016

  1. Ebrahimi Kahou, S. (2016). Emotion Recognition with Deep Neural Networks. École Polytechnique de Montréal, Best Thesis Award in the Department of Computer Engineering. [PDF] [Slides]
  2. Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team, Technical Report 2016 [arXiv]
  3. [JMUI]
    Emonets: Multimodal deep learning approaches for emotion recognition in video Kahou, Samira Ebrahimi, Bouthillier, Xavier, Lamblin, Pascal, Gulcehre, Caglar, Michalski, Vincent, Konda, Kishore, Jean, Sébastien, Froumenty, Pierre, Dauphin, Yann, Boulanger-Lewandowski, Nicolas, and others, Journal on Multimodal User Interfaces 2016 [arXiv]

2015

  1. [ICMI]
    Recurrent neural networks for emotion recognition in video Ebrahimi Kahou, Samira, Michalski, Vincent, Konda, Kishore, Memisevic, Roland, and Pal, Christopher In International Conference on Multimodal Interaction 2015, Entry to the ICMI 2015 Grand Challenge on Emotion Recognition in the Wild (2nd runner up) [PDF] [Code]
  2. [ICLR]
    Fitnets: Hints for thin deep nets Romero, Adriana, Ballas, Nicolas, Kahou, Samira Ebrahimi, Chassang, Antoine, Gatta, Carlo, and Bengio, Yoshua International Conference on Learning Representations 2015

2014

  1. Facial expression analysis based on high dimensional binary features Kahou, Samira Ebrahimi, Froumenty, Pierre, and Pal, Christopher In ECCV workshop on computer vision with local binary patterns 2014, Best Paper Award [PDF]

2013

  1. [ICMI]
    Combining modality specific deep neural networks for emotion recognition in video Kahou, Samira Ebrahimi, Pal, Christopher, Bouthillier, Xavier, Froumenty, Pierre, Gülçehre, Çaglar, *, Memisevic, Roland, Vincent, Pascal, Courville, Aaron, and Bengio, Yoshua In International Conference on Multimodal Interaction 2013, * please see the additional authors section for complete author list. Winning entry to the ICMI 2013 Grand Challenge on Emotion Recognition in the Wild [PDF]

2010

  1. Image compression: Comparative analysis of basic algorithms Sulema, Yevgeniya, and Kahou, Samira Ebrahimi In East-West Design & Test Symposium (EWDTS) 2010, Best Regular Paper
  2. Statistical approach to image classification Kahou, Samira Ebrahimi, and Sulema, Yevgeniya In IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) 2010