LoginSign Up
Christopher Pal

Christopher Pal

A professor and expert on Computer vision, Intelligent systems applications, Pattern analysis, machine intelligence Graphics Image and video processing, Artificial intelligence Learning and inference theories

Contents
Timeline
People
Further reading
Documentaries, videos and podcasts
Companies

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).

Timeline

Currently, no events have been added to this timeline yet.
Be the first one to add some.

People

Name
Role
Related Golden topics

​

​

​

Further reading

Author
Title
Link
Type

Chetan Bhole, Christopher Pal, David Rim and Axel Wismuller

3D Segmentation of Abdominal CT Imagery with Graphical Models, Conditional Random Fields and Learning

Academic paper

Christopher Pal, Jerod Weinman, Lam Tran and Daniel Scharstein

On Learning Conditional Random Fields for Stereo, Exploring Model Structures and Approximate Inference

Academic paper

David Rim, Kamrul Hassan, Fannie Puech and Christopher Pal

Learning from weakly labeled faces and video in the wild

Academic paper

David Rim, Sina Honari, Kamrul Hasana and Chris Pal

Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression

Academic paper

Eugene Vorontsov, An Tang, David Roy, Christopher Paland, Samuel Kadoury

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model

Academic paper

Felix G. Harvey and Christopher Pal

Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with MotionCapture Sequences

Academic paper

Lam Tran, Can Bal, Christopher Pal and Truong Nguyen

On Consistent Inter-view Synthesis for Autostereoscopic Displays

Academic paper

Mohamed-Hamza Ibrahim, Christopher Pal and Gilles Pesant

Improving probabilistic inference in graphical models with determinism and cycles

Academic paper

Mohammad Havaeia, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Christopher Pal, Pierre-Marc Jodoin and Hugo Larochelle

Brain tumor segmentation with Deep Neural Networks

Academic paper

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

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

Academic paper

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

Emonets: Multimodal deep learning approaches for emotion recognition in video

Academic paper

Documentaries, videos and podcasts

Title
Date
Link

​

​

​

Companies

Company
CEO
Location
Products/Services

​

​

​

​

Infobox

No infobox has been created on this topic. Be the first to add one.

+ Create Infobox

Categories

No Categories have been added to this topic yet. Be the first to add one.

+ Add Category

Related Topics

No Related Topics have been added to this topic yet. Be the first to add one.

+ Add Related Topic