Chris Pal
Chris Pal
Professor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI Chair
Verified email at - Homepage
Cited by
Cited by
Data Mining: Practical machine learning tools and techniques
IH Witten, E Frank, MA Hall, CJ Pal
Morgan Kaufmann, 2016
Brain tumor segmentation with deep neural networks
M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ...
Medical image analysis 35, 18-31, 2017
Describing videos by exploiting temporal structure
L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville
Proceedings of the IEEE international conference on computer vision, 4507-4515, 2015
The importance of skip connections in biomedical image segmentation
M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal
International workshop on deep learning in medical image analysis …, 2016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
Learning conditional random fields for stereo
D Scharstein, C Pal
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
Deep learning: a primer for radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
Radiographics 37 (7), 2113-2131, 2017
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
Deep Complex Networks
C Trabelsi, Y Bilaniuk, Olexa, Zhang, D Serdyuk, S Subramanian, ...
ICLR 2018, 2018
Delving deeper into convolutional networks for learning video representations
N Ballas, L Yao, C Pal, A Courville
ICLR 2016, 2015
Activity recognition using the velocity histories of tracked keypoints
R Messing, C Pal, H Kautz
2009 IEEE 12th international conference on computer vision, 104-111, 2009
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10, 99-111, 2016
Real-time preview for panoramic images
P Baudisch, C Pal, E Rudolph, D Steedly, R Szeliski, D Tan, ...
US Patent 7,424,218, 2008
Recurrent neural networks for emotion recognition in video
S Ebrahimi Kahou, V Michalski, K Konda, R Memisevic, C Pal
Proceedings of the 2015 ACM on international conference on multimodal …, 2015
Combining modality specific deep neural networks for emotion recognition in video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
S Subramanian, A Trischler, Y Bengio, C Pal
ICLR 2018, (OpenReview 2017), 2018
Movie description
A Rohrbach, A Torabi, M Rohrbach, N Tandon, C Pal, H Larochelle, ...
International Journal of Computer Vision 123, 94-120, 2017
Zoneout: Regularizing rnns by randomly preserving hidden activations
D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ...
ICLR 2017, 2016
Towards deep conversational recommendations
R Li, S Kahou, H Schulz, V Michalski, L Charlin, C Pal
NeurIPS 2018, arXiv preprint arXiv:1812.07617, 2018
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