Corporation de l'ecole Polytechnique de Montreal

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The Polytechnique Montréal is an engineering school affiliated with the Université de Montréal in Montreal, Quebec, Canada.

Real-Time Reinforcement Learning

Markov Decision Processes (MDPs), the mathematical framework underlying ...
11/11/2019 ∙ by Simon Ramstedt, et al. ∙ 45 ∙ share

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Boosting Image Recognition with Non-differentiable Constraints

In this paper, we study the problem of image recognition with non-differ...
10/02/2019 ∙ by Xuan Li, et al. ∙ 38 ∙ share

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Autocamera Calibration for traffic surveillance cameras with wide angle lenses

We propose a method for automatic calibration of a traffic surveillance ...
01/20/2020 ∙ by Aman Gajendra Jain, et al. ∙ 20 ∙ share

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Recurrent Transition Networks for Character Locomotion

Manually authoring transition animations for a complete locomotion syste...
10/04/2018 ∙ by Félix G. Harvey, et al. ∙ 16 ∙ share

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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Adversarial imitation learning alternates between learning a discriminat...
06/23/2020 ∙ by Paul Barde, et al. ∙ 15 ∙ share

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FIGR: Few-shot Image Generation with Reptile

Generative Adversarial Networks (GAN) boast impressive capacity to gener...
01/08/2019 ∙ by Louis Clouâtre, et al. ∙ 14 ∙ share

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Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

Branch and Bound (B B) is the exact tree search method typically used ...
02/12/2020 ∙ by Giulia Zarpellon, et al. ∙ 13 ∙ share

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Road User Detection in Videos

Successive frames of a video are highly redundant, and the most popular ...
03/28/2019 ∙ by Hughes Perreault, et al. ∙ 10 ∙ share

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Analytically Tractable Inference in Deep Neural Networks

Since its inception, deep learning has been overwhelmingly reliant on ba...
03/09/2021 ∙ by Luong Ha Nguyen, et al. ∙ 10 ∙ share

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Towards Understanding Generalization in Gradient-Based Meta-Learning

In this work we study generalization of neural networks in gradient-base...
07/16/2019 ∙ by Simon Guiroy, et al. ∙ 9 ∙ share

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Interactive Machine Comprehension with Information Seeking Agents

Existing machine reading comprehension (MRC) models do not scale effecti...
08/27/2019 ∙ by Xingdi Yuan, et al. ∙ 5 ∙ share

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Role-Wise Data Augmentation for Knowledge Distillation

Knowledge Distillation (KD) is a common method for transferring the “kno...
04/19/2020 ∙ by Jie Fu, et al. ∙ 4 ∙ share

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Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation

Axis-aligned subspace clustering generally entails searching through eno...
07/15/2019 ∙ by Ruben Becker, et al. ∙ 3 ∙ share

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Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition

Recently, the connectionist temporal classification (CTC) model coupled ...
06/20/2018 ∙ by Titouan Parcollet, et al. ∙ 2 ∙ share

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U-Net Fixed-Point Quantization for Medical Image Segmentation

Model quantization is leveraged to reduce the memory consumption and the...
08/02/2019 ∙ by MohammadHossein AskariHemmat, et al. ∙ 2 ∙ share

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Training deep neural networks with low precision multiplications

Multipliers are the most space and power-hungry arithmetic operators of ...
12/22/2014 ∙ by Matthieu Courbariaux, et al. ∙ 0 ∙ share

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BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Deep Neural Networks (DNN) have achieved state-of-the-art results in a w...
11/02/2015 ∙ by Matthieu Courbariaux, et al. ∙ 0 ∙ share

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Deep Complex Networks

At present, the vast majority of building blocks, techniques, and archit...
05/27/2017 ∙ by Chiheb Trabelsi, et al. ∙ 0 ∙ share

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Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation

Deep neural networks with alternating convolutional, max-pooling and dec...
11/23/2015 ∙ by Sina Honari, et al. ∙ 0 ∙ share

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Improving Landmark Localization with Semi-Supervised Learning

We present two techniques to improve landmark localization from partiall...
09/05/2017 ∙ by Sina Honari, et al. ∙ 0 ∙ share

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Describing Videos by Exploiting Temporal Structure

Recent progress in using recurrent neural networks (RNNs) for image desc...
02/27/2015 ∙ by Li Yao, et al. ∙ 0 ∙ share

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Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research

In this work, we introduce a dataset of video annotated with high qualit...
03/03/2015 ∙ by Atousa Torabi, et al. ∙ 0 ∙ share

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Adversarial Generation of Natural Language

Generative Adversarial Networks (GANs) have gathered a lot of attention ...
05/31/2017 ∙ by Sai Rajeswar, et al. ∙ 0 ∙ share

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Evaluation of trackers for Pan-Tilt-Zoom Scenarios

Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in ...
11/12/2017 ∙ by Yucao Tang, et al. ∙ 0 ∙ share

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Accurate and Efficient Hyperbolic Tangent Activation Function on FPGA using the DCT Interpolation Filter

Implementing an accurate and fast activation function with low cost is a...
09/25/2016 ∙ by Ahmed M. Abdelsalam, et al. ∙ 0 ∙ share

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Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks

We propose a computational framework to learn stylisation patterns from ...
09/24/2017 ∙ by Daniel Berio, et al. ∙ 0 ∙ share

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Deep Learning for Patient-Specific Kidney Graft Survival Analysis

An accurate model of patient-specific kidney graft survival distribution...
05/29/2017 ∙ by Margaux Luck, et al. ∙ 0 ∙ share

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A Motion Planning Strategy for the Active Vision-Based Mapping of Ground-Level Structures

This paper presents a strategy to guide a mobile ground robot equipped w...
02/22/2016 ∙ by Manikandasriram Srinivasan Ramanagopal, et al. ∙ 0 ∙ share

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A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation

We examine a new form of smooth approximation to the zero one loss in wh...
11/18/2015 ∙ by Md. Kamrul Hasan, et al. ∙ 0 ∙ share

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Tracking using Numerous Anchor points

In this paper, an online adaptive model-free tracker is proposed to trac...
02/07/2017 ∙ by Tanushri Chakravorty, et al. ∙ 0 ∙ share

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Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

Yes, they do. This paper provides the first empirical demonstration that...
03/17/2016 ∙ by Gregor Urban, et al. ∙ 0 ∙ share

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Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic

Recently, the Kernelized Correlation Filters tracker (KCF) achieved comp...
11/08/2016 ∙ by Yuebin Yang, et al. ∙ 0 ∙ share

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The Importance of Skip Connections in Biomedical Image Segmentation

In this paper, we study the influence of both long and short skip connec...
08/14/2016 ∙ by Michal Drozdzal, et al. ∙ 0 ∙ share

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Convolutional Residual Memory Networks

Very deep convolutional neural networks (CNNs) yield state of the art re...
06/16/2016 ∙ by Joel Moniz, et al. ∙ 0 ∙ share

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

We present techniques for improving performance driven facial animation,...
12/27/2015 ∙ by David Rim, et al. ∙ 0 ∙ share

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Metastatic liver tumour segmentation from discriminant Grassmannian manifolds

The early detection, diagnosis and monitoring of liver cancer progressio...
08/31/2015 ∙ by Samuel Kadoury, et al. ∙ 0 ∙ share

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Automatic Estimation of the Exposure to Lateral Collision in Signalized Intersections using Video Sensors

Intersections constitute one of the most dangerous elements in road syst...
12/21/2010 ∙ by Nicolas Saunier, et al. ∙ 0 ∙ share

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Nonmyopic View Planning for Active Object Detection

One of the central problems in computer vision is the detection of seman...
09/20/2013 ∙ by Nikolay Atanasov, et al. ∙ 0 ∙ share

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A Bag of Words Approach for Semantic Segmentation of Monitored Scenes

This paper proposes a semantic segmentation method for outdoor scenes ca...
05/14/2013 ∙ by Wassim Bouachir, et al. ∙ 0 ∙ share

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Background subtraction based on Local Shape

We present a novel approach to background subtraction that is based on t...
04/27/2012 ∙ by Jean-Philippe Jodoin, et al. ∙ 0 ∙ share

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Self-organized Hierarchical Softmax

We propose a new self-organizing hierarchical softmax formulation for ne...
07/26/2017 ∙ by Yikang Shen, et al. ∙ 0 ∙ share

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Towards an interdisciplinary, socio-technical analysis of software ecosystem health

This extended abstract presents the research goals and preliminary resea...
11/13/2017 ∙ by Tom Mens, et al. ∙ 0 ∙ share

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Is It Safe to Uplift This Patch? An Empirical Study on Mozilla Firefox

In rapid release development processes, patches that fix critical issues...
09/26/2017 ∙ by Marco Castelluccio, et al. ∙ 0 ∙ share

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SHIP: A Scalable High-performance IPv6 Lookup Algorithm that Exploits Prefix Characteristics

Due to the emergence of new network applications, current IP lookup engi...
11/24/2017 ∙ by Thibaut Stimpfling, et al. ∙ 0 ∙ share

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From Superpixel to Human Shape Modelling for Carried Object Detection

Detecting carried objects is one of the requirements for developing syst...
01/10/2018 ∙ by Farnoosh Ghadiri, et al. ∙ 0 ∙ share

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Localizability-Constrained Deployment of Mobile Robotic Networks with Noisy Range Measurements

When nodes in a mobile network use relative noisy measurements with resp...
01/15/2018 ∙ by Jerome Le Ny, et al. ∙ 0 ∙ share

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Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing

In this paper, we present a new method for detecting road users in an ur...
01/29/2018 ∙ by David-Alexandre Beaupré, et al. ∙ 0 ∙ share

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Do Programmers Work at Night or During the Weekend?

Abnormal working hours can reduce work health, general well-being, and p...
02/14/2018 ∙ by Maëlick Claes, et al. ∙ 0 ∙ share

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TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer

Modern low-latency anonymity systems, no matter whether constructed as a...
02/23/2018 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Improving QED-Tutrix by Automating the Generation of Proofs

The idea of assisting teachers with technological tools is not new. Math...
03/05/2018 ∙ by Ludovic Font, et al. ∙ 0 ∙ share

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Corporation de l'ecole Polytechnique de Montreal

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