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06/15/2022
Physically-admissible polarimetric data augmentation for road-scene analysis
Polarimetric imaging, along with deep learning, has shown improved perfo...
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12/24/2021
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification
The use of pseudo-labels prevails in order to tackle Unsupervised Domain...
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11/29/2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
Contrastive representation learning has proven to be an effective self-s...
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11/08/2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Using multimodal Magnetic Resonance Imaging (MRI) is necessary for accur...
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11/02/2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network
In the field of multimodal segmentation, the correlation between differe...
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10/15/2021
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters
Unsupervised Domain Adaptation (UDA) for re-identification (re-ID) is a ...
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03/22/2021
Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19
We established a Spatio-Temporal Neural Network, namely STNN, to forecas...
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02/05/2021
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
In the field of multimodal segmentation, the correlation between differe...
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09/20/2020
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling
Person Re-Identification (re-ID) aims at retrieving images of the same p...
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04/22/2020
A review: Deep learning for medical image segmentation using multi-modality fusion
Multi-modality is widely used in medical imaging, because it can provide...
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04/14/2020
An automatic COVID-19 CT segmentation based on U-Net with attention mechanism
The coronavirus disease (COVID-19) pandemic has led a devastating effect...
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04/14/2020
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism
The coronavirus disease (COVID-19) pandemic has led to a devastating eff...
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03/19/2020
Brain tumor segmentation with missing modalities via latent multi-source correlation representation
Multimodal MR images can provide complementary information for accurate ...
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11/26/2019
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles
PubMed is the biggest and most used bibliographic database worldwide, ho...
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10/02/2019
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning
Object detection in road scenes is necessary to develop both autonomous ...
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07/30/2019
Kernels on fuzzy sets: an overview
This paper introduces the concept of kernels on fuzzy sets as a similari...
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04/16/2019
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning
Using touch devices to navigate in virtual 3D environments such as compu...
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03/05/2019
L 1-norm double backpropagation adversarial defense
Adversarial examples are a challenging open problem for deep neural netw...
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02/19/2018
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling
We propose a fully automatic method for learning gestures on big touch d...
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09/21/2017
A First Derivative Potts Model for Segmentation and Denoising Using MILP
Unsupervised image segmentation and denoising are two fundamental tasks ...
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09/12/2017
Une véritable approche ℓ_0 pour l'apprentissage de dictionnaire
Sparse representation learning has recently gained a great success in si...
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10/28/2015
Operator-valued Kernels for Learning from Functional Response Data
In this paper we consider the problems of supervised classification and ...
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01/12/2013
Multiple functional regression with both discrete and continuous covariates
In this paper we present a nonparametric method for extending functional...
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10/06/2009