Publications associées à Reconnaissance gestuelle

Regularization of polynomial networks for image recognition

Volkan Cevher, Grigorios Chrysos, Bohan Wang

Deep Neural Networks (DNNs) have obtained impressive performance across tasks, however they still remain as black boxes, e.g., hard to theoretically analyze. At the same time, Polynomial Networks (PNs) have emerged as an alternative method with a promising ...

2023

Regularization of polynomial networks for image recognition

Volkan Cevher, Grigorios Chrysos, Bohan Wang

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

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 ...

2023

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Alexander Mathis, Mackenzie Mathis, Kai Jappe Sandbrink, Matthias Bethge, Pranav Mamidanna

Biological motor control is versatile, efficient, and depends on proprioceptive feedback. Muscles are flexible and undergo continuous changes, requiring distributed adaptive control mechanisms that continuously account for the body's state. The canonical r ...

eLIFE SCIENCES PUBL LTD2023

Unobtrusively Regulating Children’s Posture via Slow Visual Stimuli on Tablets

Pierre Dillenbourg, Daniel Carnieto Tozadore, Chenyang Wang, Barbara Bruno

Children’s retention of a proper body posture while interacting with educational tablet applications is important for both their physical health and task performance. In this work, we propose a new approach to unobtrusively induce postural changes in child ...

Association for Computing Machinery2023

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Mathias Josef Payer, Zhiyao Feng, Chunmin Zhang, Ji Shi

Knowledge of a program's input format is essential for effective input generation in fuzzing. Automated input format reverse engineering represents an attractive but challenging approach to learning the format. In this paper, we address several challenges ...

Berkeley2023

Projector-based augmented stacking framework for irregularly shaped objects

Katrin Beyer, Yves Weinand, Julien Gamerro, Andrea Settimi, Qianqing Wang

Augmented reality in additive fabrication is predominantly applied to the manufacturing of structures from regularly shaped materials. Our work however embraces natural heterogeneity, by focusing on the assembly of irregularly shaped elements such as miner ...

2023

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Reconnaissance gestuelle

Regularization of polynomial networks for image recognition

The role of the visual field size in artificial vision

Regularization of polynomial networks for image recognition

Towards Visual Saliency Explanations of Face Verification

Discriminative Deep Feature Visualization for Explainable Face Recognition

Explanation of Face Recognition via Saliency Maps

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Unobtrusively Regulating Children’s Posture via Slow Visual Stimuli on Tablets

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Projector-based augmented stacking framework for irregularly shaped objects

Graph Chatbot

Chattez avec Graph Search

Explanation of Face Recognition via Saliency Maps

Unobtrusively Regulating Children’s Posture via Slow Visual Stimuli on Tablets

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Towards Visual Saliency Explanations of Face Verification

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

The role of the visual field size in artificial vision

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Discriminative Deep Feature Visualization for Explainable Face Recognition

Projector-based augmented stacking framework for irregularly shaped objects