b'Liming Chen'

research

∙ 03/23/2023

IoT trust and reputation: a survey and taxonomy

IoT is one of the fastest-growing technologies and it is estimated that ...

0 Muhammad Aaqib, et al. ∙

research

∙ 03/20/2023

A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation

Sensor-based human activity segmentation and recognition are two importa...

0 Furong Duan, et al. ∙

research

∙ 03/06/2023

Intrusion Response Systems: Past, Present and Future

The rapid expansion of the Internet of Things and the emergence of edge ...

0 Pushpinder Kaur Chouhan, et al. ∙

research

∙ 01/10/2023

Look Beyond Bias with Entropic Adversarial Data Augmentation

Deep neural networks do not discriminate between spurious and causal pat...

0 Thomas Duboudin, et al. ∙

research

∙ 12/12/2022

Human Digital Twin: A Survey

Digital twin has recently attracted growing attention, leading to intens...

0 Yujia Lin, et al. ∙

research

∙ 10/17/2022

Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation

Deep neural networks often fail to generalize outside of their training ...

0 Thomas Duboudin, et al. ∙

research

∙ 10/15/2022

Attention Regularized Laplace Graph for Domain Adaptation

In leveraging manifold learning in domain adaptation (DA), graph embeddi...

0 Lingkun Luo, et al. ∙

research

∙ 04/14/2022

Trust2Vec: Large-Scale IoT Trust Management System based on Signed Network Embeddings

A trust management system (TMS) is an integral component of any IoT netw...

0 Sahraoui Dhelim, et al. ∙

research

∙ 04/13/2022

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

The Metaverse is a virtual environment where users are represented by av...

0 Sahraoui Dhelim, et al. ∙

research

∙ 03/28/2022

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations

Precise representations of 3D faces are beneficial to various computer v...

0 Mingwu Zheng, et al. ∙

research

∙ 03/23/2022

Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition

Contrastive learning has been applied to Human Activity Recognition (HAR...

0 Jinqiang Wang, et al. ∙

research

∙ 02/21/2022

Human-in-the-loop Machine Learning: A Macro-Micro Perspective

Though technical advance of artificial intelligence and machine learning...

0 Jiangtao Wang, et al. ∙

research

∙ 02/20/2022

Non-Deterministic Face Mask Removal Based On 3D Priors

This paper presents a novel image inpainting framework for face mask rem...

0 Xiangnan Yin, et al. ∙

research

∙ 01/22/2022

Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review

Death by suicide is the seventh of the leading death cause worldwide. Th...

0 Sahraoui Dhelim, et al. ∙

research

∙ 01/20/2022

FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction

Occlusions often occur in face images in the wild, troubling face-relate...

0 Xiangnan Yin, et al. ∙

research

∙ 12/15/2021

Segmentation-Reconstruction-Guided Facial Image De-occlusion

Occlusions are very common in face images in the wild, leading to the de...

0 Xiangnan Yin, et al. ∙

research

∙ 11/10/2021

VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning

Vehicular social networking is an emerging application of the promising ...

0 Nyothiri Aung, et al. ∙

research

∙ 11/04/2021

When Neural Networks Using Different Sensors Create Similar Features

Multimodal problems are omnipresent in the real world: autonomous drivin...

0 Hugues Moreau, et al. ∙

research

∙ 09/16/2021

The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection

Transport mode detection is a classification problem aiming to design an...

0 Hugues Moreau, et al. ∙

research

∙ 06/25/2021

Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot

This technical report presents panda-gym, a set Reinforcement Learning (...

0 Quentin Gallouédec, et al. ∙

research

∙ 06/15/2021

Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization

Traditional deep learning algorithms often fail to generalize when they ...

0 Thomas Duboudin, et al. ∙

research

∙ 06/14/2021

Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction

Although much progress has been made recently in 3D face reconstruction,...

0 Xiangnan Yin, et al. ∙

research

∙ 06/14/2021

Pixel Sampling for Style Preserving Face Pose Editing

The existing auto-encoder based face pose editing methods primarily focu...

0 Xiangnan Yin, et al. ∙

research

∙ 03/19/2021

Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval

With impressive results in applications relying on feature learning, dee...

0 Dimitri Gominski, et al. ∙

research

∙ 02/26/2021

Unifying Remote Sensing Image Retrieval and Classification with Robust Fine-tuning

Advances in high resolution remote sensing image analysis are currently ...

0 Dimitri Gominski, et al. ∙

research

∙ 02/21/2021

IoT-Enabled Social Relationships Meet Artificial Social Intelligence

With the recent advances of the Internet of Things, and the increasing a...

0 Sahraoui Dhelim, et al. ∙

research

∙ 01/09/2021

Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation

Domain adaptation (DA) aims to enable a learning model trained from a so...

0 Lingkun Luo, et al. ∙

research

∙ 12/18/2020

An Assessment of GANs for Identity-related Applications

Generative Adversarial Networks (GANs) are now capable of producing synt...

0 Richard T. Marriott, et al. ∙

research

∙ 12/18/2020

Robustness of Facial Recognition to GAN-based Face-morphing Attacks

Face-morphing attacks have been a cause for concern for a number of year...

0 Richard T. Marriott, et al. ∙

research

∙ 12/18/2020

A 3D GAN for Improved Large-pose Facial Recognition

Facial recognition using deep convolutional neural networks relies on th...

22 Richard T. Marriott, et al. ∙

research

∙ 10/22/2020

One-shot Distributed Algorithm for Generalized Eigenvalue Problem

Nowadays, more and more datasets are stored in a distributed way for the...

4 Kexin Lv, et al. ∙

research

∙ 07/30/2020

Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction

In robotics, methods and softwares usually require optimizations of hype...

0 Maxime Petit, et al. ∙

research

∙ 02/24/2020

Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation

The lack of transparency of neural networks stays a major break for thei...

0 Mathilde Guillemot, et al. ∙

research

∙ 02/03/2020

Optimizing Correlated Graspability Score and Grasp Regression for Better Grasp Prediction

Grasping objects is one of the most important abilities to master for a ...

0 Amaury Depierre, et al. ∙

research

∙ 09/19/2019

Challenging deep image descriptors for retrieval in heterogeneous iconographic collections

This article proposes to study the behavior of recent and efficient stat...

3 Dimitri Gominski, et al. ∙

research

∙ 07/10/2019

Toward a Procedural Fruit Tree Rendering Framework for Image Analysis

We propose a procedural fruit tree rendering framework, based on Blender...

0 Thomas Duboudin, et al. ∙

research

∙ 06/18/2019

Bicameral Structuring and Synthetic Imagery for Jointly Predicting Instance Boundaries and Nearby Occlusions from a Single Image

Oriented boundary detection is a challenging task aimed at both delineat...

1 Matthieu Grard, et al. ∙

research

∙ 11/27/2018

Intra-class Variation Isolation in Conditional GANs

Current state-of-the-art conditional generative adversarial networks (C-...

0 Richard T. Marriott, et al. ∙

research

∙ 10/24/2018

Image-based Natural Language Understanding Using 2D Convolutional Neural Networks

We propose a new approach to natural language understanding in which we ...

0 Erinc Merdivan, et al. ∙

research

∙ 09/26/2018

Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning

We present a developmental framework based on a long-term memory and rea...

4 Maxime Petit, et al. ∙

research

∙ 08/30/2018

MES-P: an Emotional Tonal Speech Dataset in Mandarin Chinese with Distal and Proximal Labels

Emotion shapes all aspects of our interpersonal and intellectual experie...

0 Zhongzhe Xiao, et al. ∙

research

∙ 03/30/2018

Jacquard: A Large Scale Dataset for Robotic Grasp Detection

Grasping skill is a major ability that a wide number of real-life applic...

0 Amaury Depierre, et al. ∙

research

∙ 03/04/2018

Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition

Meaningful facial parts can convey key cues for both facial action unit ...

0 Asim Jan, et al. ∙

research

∙ 02/22/2018

A Deep Learning Approach for Privacy Preservation in Assisted Living

In the era of Internet of Things (IoT) technologies the potential for pr...

0 Ismini Psychoula, et al. ∙

research

∙ 02/21/2018

Discriminative Label Consistent Domain Adaptation

Domain adaptation (DA) is transfer learning which aims to learn an effec...

0 Lingkun Luo, et al. ∙

research

∙ 01/17/2018

Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure

Correctly estimating the discrepancy between two data distributions has ...

0 Ying Lu, et al. ∙

research

∙ 01/09/2018

Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Deep CNN-based object detection systems have achieved remarkable success...

0 Yuxing Tang, et al. ∙

research

∙ 01/04/2018

Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network

With more and more household objects built on planned obsolescence and c...

0 Matthieu Grard, et al. ∙

research

∙ 12/28/2017

Discriminative and Geometry Aware Unsupervised Domain Adaptation

Domain adaptation (DA) aims to generalize a learning model across traini...

0 Lingkun Luo, et al. ∙

research

∙ 10/13/2017

Improving Shadow Suppression for Illumination Robust Face Recognition

2D face analysis techniques, such as face landmarking, face recognition ...

0 Wuming Zhang, et al. ∙

Liming Chen

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