Christopher Pal is an Associate Professor at the École Polytechnique of Montreal. He is currently teaching Multimedia data processing and analysis in the Department of Computer and Software Engineering. He was a former professor at the University of Rochester, Department of Computer Science before arriving in Montreal. He was a research scientist in the University of Massachusetts and affiliated with the Interactive Visual Media Group and the Machine Learning and Applied Statistics groups at Microsoft Research. His research led to three patents on image processing, computer vision and interactive multimedia.
He earned his Master of Science in Math and PhD from the University of Waterloo, Canada. He developed methods for automated cartography and the analysis of high-resolution digital aerial photography during his masters research. He was also involved with a group of software engineering projects developing spatial databases for managing environmental information. His PhD research led to contributions applying probability models and optimization techniques to image, video and signal processing.
During his PhD studies, he was also a research assistant at the University of Toronto in the Department of Electrical and Computer Engineering. He closely collaborated with the Banting and Best Department of Medical Research. He researched on image processing and statistical methods for the analysis of large scale genomics and computational molecular biology experiments using DNA microarrays. Before his graduate studies, he was with the multimedia research company Interval in Silicon Valley, California. He was awarded a patent on audio signal processing as a result of his research at Interval.
Christopher Pal is a faculty member at the Montreal Institute for Learning Algorithms (MILA), working alongside with leading world experts in machine learning and deep learning Prof. Yoshua Bengio, Prof. Aaron Courville, Prof. Pascal Vincent, Prof. Simon Lacoste-Julien, Prof. Laurent Charlin and Prof. Roland Memisevic. He is also a member of the Institute for Data Valorization (IVADO).
3D Segmentation of Abdominal CT Imagery with Graphical Models, Conditional Random Fields and Learning
Chetan Bhole, Christopher Pal, David Rim and Axel Wismuller
Brain tumor segmentation with Deep Neural Networks
Mohammad Havaeia, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Christopher Pal, Pierre-Marc Jodoin and Hugo Larochelle
Emonets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal and Yoshua Bengio
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression
David Rim, Sina Honari, Kamrul Hasana and Chris Pal
Improving probabilistic inference in graphical models with determinism and cycles
Mohamed-Hamza Ibrahim, Christopher Pal and Gilles Pesant
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Oskar Maier, Bjoern Menze, Janina von der Gablentz, Levin Häni, Mattias Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan Iftekharuddin, Pierre-Marc Jodoin, Konstantinos Kamnitsas, Elias Kellner, Antti Korvenoja, Hugo Larochelle, Christian Ledig, Jia-Hong Lee, Frederik Maes, Qaiser Mahmood, Klaus Maier-Hein, Richard McKinley, John Muschelli, Chris Pal, Linmin Pei, Janaki Raman Rangarajan, Syed Reza, David Robben, Daniel Rueckert, Eero Salli, Paul Suetens, Ching-Wei Wang, Matthias Wilms, Jan Kirschke, Ulrike M Krämer, Thomas Münte, Peter Schramm, Roland Wiest, Heinz Handels and Mauricio Reyes
Learning from weakly labeled faces and video in the wild
David Rim, Kamrul Hassan, Fannie Puech and Christopher Pal
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model
Eugene Vorontsov, An Tang, David Roy, Christopher Paland, Samuel Kadoury
On Consistent Inter-view Synthesis for Autostereoscopic Displays
Lam Tran, Can Bal, Christopher Pal and Truong Nguyen
On Learning Conditional Random Fields for Stereo, Exploring Model Structures and Approximate Inference
Christopher Pal, Jerod Weinman, Lam Tran and Daniel Scharstein
Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with MotionCapture Sequences
Felix G. Harvey and Christopher Pal
Documentaries, videos and podcasts