b'Eric Granger'

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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...

8 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...

4 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...

0 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 ...

0 Hugo Masson, et al. ∙

research

∙ 06/24/2019

Audio-Visual Kinship Verification

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

1 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...

0 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...

1 Imtiaz Masud Ziko, et al. ∙

research

∙ 04/10/2019

Curriculum semi-supervised segmentation

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

0 Hoel Kervadec, et al. ∙

research

∙ 04/08/2019

Log-barrier constrained CNNs

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

0 Hoel Kervadec, et al. ∙

research

∙ 12/17/2018

Boundary loss for highly unbalanced segmentation

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

0 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...

0 Jerome Rony, et al. ∙

research

∙ 10/31/2018

Scalable Laplacian K-modes

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

0 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...

0 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...

0 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 ...

0 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 ...

0 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...

0 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...

0 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...

0 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...

0 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...

0 Tanushri Chakravorty, et al. ∙

research

∙ 06/05/2017

Progressive Boosting for Class Imbalance

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

0 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...

0 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...

0 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...

0 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...

0 George S. Eskander, et al. ∙