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09/14/2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
This paper addresses the challenge of generating Counterfactual Explanat...
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03/17/2023
On the De-duplication of LAION-2B
Generative models, such as DALL-E, Midjourney, and Stable Diffusion, hav...
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03/17/2023
Adversarial Counterfactual Visual Explanations
Counterfactual explanations and adversarial attacks have a related goal:...
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09/30/2022
Empowering the trustworthiness of ML-based critical systems through engineering activities
This paper reviews the entire engineering process of trustworthy Machine...
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03/29/2022
Diffusion Models for Counterfactual Explanations
Counterfactual explanations have shown promising results as a post-hoc f...
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09/16/2021
On the inductive biases of deep domain adaptation
Domain alignment is currently the most prevalent solution to unsupervise...
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08/02/2021
Training face verification models from generated face identity data
Machine learning tools are becoming increasingly powerful and widely use...
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07/13/2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
Recently, generative adversarial networks (GANs) have achieved stunning ...
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11/08/2019
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
This paper proposes a step toward obtaining general models of knowledge ...
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08/20/2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
As deep learning applications are becoming more and more pervasive in ro...
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03/15/2019
MFAS: Multimodal Fusion Architecture Search
We tackle the problem of finding good architectures for multimodal class...
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01/09/2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
State of the art deep generative networks are capable of producing image...
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11/06/2018
Semantic bottleneck for computer vision tasks
This paper introduces a novel method for the representation of images th...
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11/05/2018
Multi-Level Sensor Fusion with Deep Learning
In the context of deep learning, this article presents an original deep ...
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10/31/2018
The Many Moods of Emotion
This paper presents a novel approach to the facial expression generation...
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09/22/2018
RPNet: an End-to-End Network for Relative Camera Pose Estimation
This paper addresses the task of relative camera pose estimation from ra...
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09/20/2018
Faster RER-CNN: application to the detection of vehicles in aerial images
Detecting small vehicles in aerial images is a difficult job that can be...
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09/10/2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Object detection-the computer vision task dealing with detecting instanc...
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08/22/2018
CentralNet: a Multilayer Approach for Multimodal Fusion
This paper proposes a novel multimodal fusion approach, aiming to produc...
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08/08/2018
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets
This paper presents a light-weight and accurate deep neural model for au...
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07/30/2018
CAKE: Compact and Accurate K-dimensional representation of Emotion
Inspired by works from the psychology community, we first study the link...
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06/08/2018
Deep multi-scale architectures for monocular depth estimation
This paper aims at understanding the role of multi-scale information in ...
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06/05/2018
TS-Net: Combining modality specific and common features for multimodal patch matching
Multimodal patch matching addresses the problem of finding the correspon...
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09/21/2017
Temporal Multimodal Fusion for Video Emotion Classification in the Wild
This paper addresses the question of emotion classification. The task co...
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08/23/2017
Generating Visual Representations for Zero-Shot Classification
This paper addresses the task of learning an image clas-sifier when some...
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02/08/2017
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks
We propose a method for semi-supervised training of structured-output ne...
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11/14/2016
Automatic discovery of discriminative parts as a quadratic assignment problem
Part-based image classification consists in representing categories by s...
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11/01/2016
Deep fusion of visual signatures for client-server facial analysis
Facial analysis is a key technology for enabling human-machine interacti...
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08/26/2016
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Zero-Shot learning has been shown to be an efficient strategy for domain...
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07/27/2016
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
This paper addresses the task of zero-shot image classification. The key...
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04/11/2016
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval
We propose a novel Coupled Projection multi-task Metric Learning (CP-mtM...
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09/14/2015
Expanded Parts Model for Semantic Description of Humans in Still Images
We introduce an Expanded Parts Model (EPM) for recognizing human attribu...
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03/13/2015