Marc T. LAW


Department of Computer Science, University of Toronto
6 King's College Rd, Pratt Building, Office 398B
Toronto, Ontario, M5S 3G4 Canada


Introduction I received a PhD in Computer Science from Université Pierre et Marie Curie (Paris, France) in 2015, my doctoral supervisor was Professor Matthieu Cord. I was a visiting research scholar in the team of Professor Eric Xing at the School of Computer Science, Carnegie Mellon University in 2015~2016. Since June 2016, I am a postdoctoral fellow in the Department of Computer Science (Machine Learning group) at the University of Toronto under the supervision of Professor Raquel Urtasun and Professor Richard Zemel.
Research Interest During my PhD, I worked mostly on distance metric learning applied to different contexts of computer vision and web archiving. I am currently working on deep learning. My main focus is to propose scalable machine learning methods.

Publications
International Conferences

Efficient Multiple Instance Metric Learning using Weakly Supervised Data
M. T. Law, Y. Yu, R. Urtasun, R. S. Zemel, E. P. Xing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
[pdf] [bib] [code]

Closed-Form Training of Mahalanobis Distance for Supervised Clustering
M. T. Law, Y. Yu, M. Cord, E. P. Xing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
[pdf] [short bib] [code] [mirror code]

Fantope Regularization in Metric Learning
M. T. Law, N. Thome, M. Cord
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014
[doi] [pdf] [short bib] [code]

Quadruplet-wise Image Similarity Learning
M. T. Law, N. Thome, M. Cord
IEEE International Conference on Computer Vision (ICCV) 2013
[doi] [pdf] [full bib] [short bib] [project page]

Structural and Visual Comparisons for Web Page Archiving
M. T. Law, N. Thome, S. Gançarski, M. Cord
12th edition of the ACM Symposium on Document Engineering (DocEng) 2012
[doi] [pdf] [full bib] [short bib] [code] [demo webpage (thanks to Andres Sanoja and Zeynep Pehlivan)]

International Journal

Learning a Distance Metric from Relative Comparisons between Quadruplets of Images
M. T. Law, N. Thome, M. Cord
International Journal of Computer Vision (IJCV), 2016


International Workshops

Hybrid Pooling Fusion in the BoW Pipeline
M. T. Law, N. Thome, M. Cord
ECCV 2012 Workshop on Information fusion in Computer Vision for Concept Recognition (ECCV-IFCVCR 2012)
[pdf] [full bib]

Structural and Visual Similarity Learning for Web Page Archiving
M. T. Law, C. Sureda Gutierrez, N. Thome, S. Gançarski, M. Cord
10th workshop on Content-Based Multimedia Indexing (CBMI) 2012
[pdf] [bib]

Book Chapter

Bag-of-Words Image Representation: Key Ideas and Further Insight
M. T. Law, N. Thome, M. Cord
Fusion in Computer Vision - Understanding Complex Visual Content, Springer 2014

French Conference

Apprentissage de métrique appliqué à la détection de changement de page Web
M. T. Law, C. Sureda Gutierrez, N. Thome, S. Gançarski, M. Cord
CORIA 2015

PhD Thesis

Distance Metric Learning for Image and Webpage Comparison
Université Pierre et Marie Curie (Paris 6), 2015
[pdf (22 MB)] [hal] [bib]



Teaching (Moniteur) University Paris 6, Licence 2, LI214: Logic and Automata. (38.5 hours)
University Paris 6, Licence 2, LI215: Imperative programming and data structures in C. (38.5 hours)
University Paris 6, Licence 2, LI230: Object-oriented Programming in Java. (110 hours)
University Paris 6, Master 1 Artificial Intelligence: Project advisor. (3.5 hours)
University Paris 6/Telecom ParisTech, Master 2 Image Processing: Project advisor. (4 hours)