Eric Granger

Professor

ÉTS Montreal

Canada

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Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (5)

Jose Dolz

Assistant Professor

CANADA

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Miguel Bordallo López

Associate Professor at University of Oulu

University of Oulu

FINLAND

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Alessandro Lameiras Koerich

Université du Québec à Chicoutimi

CANADA

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Julian Kooij

Delft University of Technology

NETHERLANDS

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Salvador García

Universidad de Granada

SPAIN

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Eric Granger

Research Interests

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Articles (10)

MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection

Audio–Visual Fusion for Emotion Recognition in the Valence–Arousal Space Using Joint Cross-Attention

Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation

A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

Cross-modal distillation for RGB-depth person re-identification

Incremental multi-target domain adaptation for object detection with efficient domain transfer

Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks

Boundary loss for highly unbalanced segmentation

Collaborators (5)

Jose Dolz

Miguel Bordallo López

Alessandro Lameiras Koerich

Julian Kooij

Salvador García

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