119 citations · 119 across the 1 of their papers we have counts for
4 papers
Rain rendering for evaluating and improving robustness to bad weather
Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette +1
Rain fills the atmosphere with water particles, which breaks the common assumption that light travels unaltered from the scene to the camera. While it is well-known that rain affec…
Depth versus Breadth in Convolutional Polar Codes
Maxime Tremblay, Benjamin Bourassa, David Poulin
Polar codes were introduced in 2009 by Arikan as the first efficient encoding and decoding scheme that is capacity achieving for symmetric binary-input memoryless channels. Recentl…
Convolutional Polar Codes on Channels with Memory using Tensor Networks
Benjamin Bourassa, Maxime Tremblay, David Poulin
Arikan's recursive code construction is designed to polarize a collection of memoryless channels into a set of good and a set of bad channels, and it can be efficiently decoded usi…
Learning to segment on tiny datasets: a new shape model
Maxime Tremblay, André Zaccarin
Current object segmentation algorithms are based on the hypothesis that one has access to a very large amount of data. In this paper, we aim to segment objects using only tiny data…