2 code implementations • 15 Feb 2020 • Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio
Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.
Ranked #6 on Multi-Frame Super-Resolution on PROBA-V
1 code implementation • ICLR 2020 • Michel Deudon, Alfredo Kalaitzis, Md Rifat Arefin, Israel Goytom, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio
Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.
Ranked #6 on Multi-Frame Super-Resolution on PROBA-V
no code implementations • 4 Nov 2019 • Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atılım Güneş Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo
Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient.
no code implementations • 4 Nov 2019 • Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation.
no code implementations • NeurIPS 2018 • Michel Deudon
We address the problem of learning semantic representation of questions to measure similarity between pairs as a continuous distance metric.