b'Eric Granger'

research

∙ 09/08/2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey

Using state-of-the-art deep learning models for the computer-assisted di...

Jerome Rony, et al. ∙

research

∙ 07/25/2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework

Weakly supervised object localization (WSOL) models aim to locate object...

Soufiane Belharbi, et al. ∙

research

∙ 07/06/2019

Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition

This paper presents a novel deep neural network (DNN) for multimodal fus...

Juan D. S. Ortega, et al. ∙

research

∙ 07/04/2019

A Survey of Pruning Methods for Efficient Person Re-identification Across Domains

Recent years have witnessed a substantial increase in the deep learning ...

Hugo Masson, et al. ∙

research

∙ 06/24/2019

Audio-Visual Kinship Verification

Visual kinship verification entails confirming whether or not two indivi...

Xiaoting Wu, et al. ∙

research

∙ 06/20/2019

An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning

Although deep neural networks (NNs) have achieved state-of-the-art accur...

Le Thanh Nguyen-Meidine, et al. ∙

research

∙ 06/19/2019

Clustering with Fairness Constraints: A Flexible and Scalable Approach

This study investigates a general variational formulation of fair cluste...

Imtiaz Masud Ziko, et al. ∙

research

∙ 04/10/2019

Curriculum semi-supervised segmentation

This study investigates a curriculum-style strategy for semi-supervised ...

Hoel Kervadec, et al. ∙

research

∙ 04/08/2019

Log-barrier constrained CNNs

This study investigates imposing inequality constraints on the outputs o...

Hoel Kervadec, et al. ∙

research

∙ 12/17/2018

Boundary loss for highly unbalanced segmentation

Widely used loss functions for convolutional neural network (CNN) segmen...

Hoel Kervadec, et al. ∙

research

∙ 11/23/2018

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Research on adversarial examples in computer vision tasks has shown that...

Jerome Rony, et al. ∙

research

∙ 10/31/2018

Scalable Laplacian K-modes

We advocate Laplacian K-modes for joint clustering and density mode find...

Imtiaz Masud Ziko, et al. ∙

research

∙ 10/27/2018

A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth

Person re-identification involves the recognition over time of individua...

Frank Hafner, et al. ∙

research

∙ 09/10/2018

A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications

Detecting faces and heads appearing in video feeds are challenging tasks...

Le Thanh Nguyen-Meidine, et al. ∙

research

∙ 05/28/2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

Precise segmentation of bladder walls and tumor regions is an essential ...

Jose Dolz, et al. ∙

research

∙ 05/12/2018

Constrained-CNN losses forweakly supervised segmentation

Weak supervision, e.g., in the form of partial labels or image tags, is ...

Hoel Kervadec, et al. ∙

research

∙ 02/27/2018

Deep Learning Architectures for Face Recognition in Video Surveillance

Face recognition (FR) systems for video surveillance (VS) applications a...

Saman Bashbaghi, et al. ∙

research

∙ 01/06/2018

Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person

The performance of still-to-video face recognition (FR) systems can decl...

Fania Mokhayeri, et al. ∙

research

∙ 11/29/2017

Modeling Information Flow Through Deep Neural Networks

This paper proposes a principled information theoretic analysis of class...

Ahmad Chaddad, et al. ∙

research

∙ 10/06/2017

Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems

A growing number of applications, e.g. video surveillance and medical im...

Marc-André Carbonneau, et al. ∙

research

∙ 06/29/2017

Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning

This paper addresses the problem of appearance matching across different...

Tanushri Chakravorty, et al. ∙

research

∙ 06/05/2017

Progressive Boosting for Class Imbalance

Pattern recognition applications often suffer from skewed data distribut...

Roghayeh Soleymani, et al. ∙

research

∙ 02/07/2017

Tracking using Numerous Anchor points

In this paper, an online adaptive model-free tracker is proposed to trac...

Tanushri Chakravorty, et al. ∙

research

∙ 12/11/2016

Multiple Instance Learning: A Survey of Problem Characteristics and Applications

Multiple instance learning (MIL) is a form of weakly supervised learning...

Marc-André Carbonneau, et al. ∙

research

∙ 10/04/2016

Feature Learning from Spectrograms for Assessment of Personality Traits

Several methods have recently been proposed to analyze speech and automa...

Marc-André Carbonneau, et al. ∙

research

∙ 08/18/2014

Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results

An offline signature-based fuzzy vault (OSFV) is a bio-cryptographic imp...

George S. Eskander, et al. ∙

Eric Granger

Featured Co-authors

Yang Liu

Ismail Ben Ayed

Jose Dolz

Guillaume-Alexandre Bilodeau

Xi Zhang

Robert Sabourin

Christian Desrosiers

Veronika Cheplygina

Jing Yuan

Alessandro L. Koerich

Yuri Boykov

Deep weakly-supervised learning methods for classification and localization in histology images: a survey

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework

Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition

A Survey of Pruning Methods for Efficient Person Re-identification Across Domains

Audio-Visual Kinship Verification

An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning

Clustering with Fairness Constraints: A Flexible and Scalable Approach

Curriculum semi-supervised segmentation

Log-barrier constrained CNNs

Boundary loss for highly unbalanced segmentation

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Scalable Laplacian K-modes

A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth

A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

Constrained-CNN losses forweakly supervised segmentation

Deep Learning Architectures for Face Recognition in Video Surveillance

Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person

Modeling Information Flow Through Deep Neural Networks

Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems

Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning

Progressive Boosting for Class Imbalance

Tracking using Numerous Anchor points

Multiple Instance Learning: A Survey of Problem Characteristics and Applications

Feature Learning from Spectrograms for Assessment of Personality Traits

Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results