Chris Pal
Chris Pal
Professor, Polytechnique Montréal & Mila, Element AI, Canada CIFAR AI Chair
Verified email at polymtl.ca - Homepage
TitleCited byYear
Data Mining: Practical machine learning tools and techniques
IH Witten, E Frank, MA Hall, CJ Pal
Morgan Kaufmann, 2016
366042016
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
9562017
Learning conditional random fields for stereo
D Scharstein, C Pal
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
7072007
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
6092015
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
5342009
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
5192016
Real-time preview for panoramic images
P Baudisch, C Pal, E Rudolph, D Steedly, R Szeliski, D Tan, ...
US Patent 7,424,218, 2008
2832008
A panoramic view of yeast noncoding RNA processing
WT Peng, MD Robinson, S Mnaimneh, NJ Krogan, G Cagney, Q Morris, ...
Cell 113 (7), 919-933, 2003
2782003
Delving deeper into convolutional networks for learning video representations
N Ballas, L Yao, C Pal, A Courville
arXiv preprint arXiv:1511.06432, 2015
2352015
Panoramic video textures
A Agarwala, KC Zheng, C Pal, M Agrawala, M Cohen, B Curless, ...
ACM Transactions on Graphics (TOG) 24 (3), 821-827, 2005
2202005
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
2152013
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 (2), 99-111, 2016
2052016
The importance of skip connections in biomedical image segmentation
M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal
Deep Learning and Data Labeling for Medical Applications, 179-187, 2016
1912016
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
1592015
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
1502017
Zoneout: Regularizing rnns by randomly preserving hidden activations
D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ...
arXiv preprint arXiv:1606.01305, 2016
1462016
Video registration and image sequence stitching
C Pal, D Steedly, R Szeliski
US Patent 7,460,730, 2008
1452008
Efficiently registering video into panoramic mosaics
D Steedly, C Pal, R Szeliski
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on 2 …, 2005
1262005
Deep learning: a primer for radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
Radiographics 37 (7), 2113-2131, 2017
1242017
Using descriptive video services to create a large data source for video annotation research
A Torabi, C Pal, H Larochelle, A Courville
arXiv preprint arXiv:1503.01070, 2015
1242015
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Articles 1–20