Publications associées à Détection de visage

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Recent years have witnessed significant advance- ment in face recognition (FR) techniques, with their applications widely spread in people’s lives and security-sensitive areas. There is a growing need for reliable interpretations of decisions of such syste ...

2024

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Touradj Ebrahimi, Lin Yuan, Xiao Pu, Yao Zhang, Hongbo Li

The advancement of face recognition technology has delivered substantial societal advantages. However, it has also raised global privacy concerns due to the ubiquitous collection and potential misuse of individuals' facial data. This presents a notable par ...

Ieee-Inst Electrical Electronics Engineers Inc2024

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Mathieu Salzmann, Martin Pierre Engilberge, Vidit Vidit

Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well studied for image classification, the literature on SDG object detection remai ...

Los Alamitos2023

Learning Transformations To Reduce the Geometric Shift in Object Detection

Mathieu Salzmann, Martin Pierre Engilberge, Vidit Vidit

The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditions, or gaps between syntheti ...

Los Alamitos2023

Towards Visual Saliency Explanations of Face Verification

Touradj Ebrahimi, Yuhang Lu, Zewei Xu

In the past years, deep convolutional neural networks have been pushing the frontier of face recognition (FR) techniques in both verification and identification scenarios. Despite the high accuracy, they are often criticized for lacking explainability. The ...

2023

Rigidity-Aware Detection for 6D Object Pose Estimation

Mathieu Salzmann, Yinlin Hu, Jingyu Li, Rui Song

Most recent 6D object pose estimation methods first use object detection to obtain 2D bounding boxes before actually regressing the pose. However, the general object detection methods they use are ill-suited to handle cluttered scenes, thus producing poor ...

Los Alamitos2023

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Sébastien Marcel, Parsa Rahimi Noshanagh, Christophe René Joseph Ecabert

Recently, it has been exposed that some modern facial recognition systems could discriminate specific demographic groups and may lead to unfair attention with respect to various facial attributes such as gender and origin. The main reason are the biases in ...

IEEE2023

Discriminative Deep Feature Visualization for Explainable Face Recognition

Touradj Ebrahimi, Yuhang Lu, Zewei Xu

Despite the huge success of deep convolutional neural networks in face recognition (FR) tasks, current methods lack explainability for their predictions because of their ``black-box'' nature. In recent years, studies have been carried out to give an interp ...

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Détection de visage

Coronal jets identification using Deep Learning as Image and Video Object Detection

Explainable Face Verification via Feature-Guided Gradient Backpropagation

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Learning Transformations To Reduce the Geometric Shift in Object Detection

Towards Visual Saliency Explanations of Face Verification

Rigidity-Aware Detection for 6D Object Pose Estimation

Improving Object Detection under Domain Shifts

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Discriminative Deep Feature Visualization for Explainable Face Recognition

Graph Chatbot

Chattez avec Graph Search

Rigidity-Aware Detection for 6D Object Pose Estimation

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Improving Object Detection under Domain Shifts

Learning Transformations To Reduce the Geometric Shift in Object Detection

Coronal jets identification using Deep Learning as Image and Video Object Detection

Discriminative Deep Feature Visualization for Explainable Face Recognition

Towards Visual Saliency Explanations of Face Verification

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups