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Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
With impressive results in applications relying on feature learning, dee...
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Unifying Remote Sensing Image Retrieval and Classification with Robust Fine-tuning
Advances in high resolution remote sensing image analysis are currently ...
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IoT-Enabled Social Relationships Meet Artificial Social Intelligence
With the recent advances of the Internet of Things, and the increasing a...
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Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation
Domain adaptation (DA) aims to enable a learning model trained from a so...
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An Assessment of GANs for Identity-related Applications
Generative Adversarial Networks (GANs) are now capable of producing synt...
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Robustness of Facial Recognition to GAN-based Face-morphing Attacks
Face-morphing attacks have been a cause for concern for a number of year...
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A 3D GAN for Improved Large-pose Facial Recognition
Facial recognition using deep convolutional neural networks relies on th...
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One-shot Distributed Algorithm for Generalized Eigenvalue Problem
Nowadays, more and more datasets are stored in a distributed way for the...
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Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction
In robotics, methods and softwares usually require optimizations of hype...
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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...
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Optimizing Correlated Graspability Score and Grasp Regression for Better Grasp Prediction
Grasping objects is one of the most important abilities to master for a ...
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Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
This article proposes to study the behavior of recent and efficient stat...
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Toward a Procedural Fruit Tree Rendering Framework for Image Analysis
We propose a procedural fruit tree rendering framework, based on Blender...
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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...
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Intra-class Variation Isolation in Conditional GANs
Current state-of-the-art conditional generative adversarial networks (C-...
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Image-based Natural Language Understanding Using 2D Convolutional Neural Networks
We propose a new approach to natural language understanding in which we ...
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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...
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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...
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Jacquard: A Large Scale Dataset for Robotic Grasp Detection
Grasping skill is a major ability that a wide number of real-life applic...
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Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition
Meaningful facial parts can convey key cues for both facial action unit ...
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A Deep Learning Approach for Privacy Preservation in Assisted Living
In the era of Internet of Things (IoT) technologies the potential for pr...
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Discriminative Label Consistent Domain Adaptation
Domain adaptation (DA) is transfer learning which aims to learn an effec...
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Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure
Correctly estimating the discrepancy between two data distributions has ...
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Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
Deep CNN-based object detection systems have achieved remarkable success...
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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...
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Discriminative and Geometry Aware Unsupervised Domain Adaptation
Domain adaptation (DA) aims to generalize a learning model across traini...
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Improving Shadow Suppression for Illumination Robust Face Recognition
2D face analysis techniques, such as face landmarking, face recognition ...
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Densely tracking sequences of 3D face scans
3D face dense tracking aims to find dense inter-frame correspondences in...
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Optimal Transport for Deep Joint Transfer Learning
Training a Deep Neural Network (DNN) from scratch requires a large amoun...
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Improving Heterogeneous Face Recognition with Conditional Adversarial Networks
Heterogeneous face recognition between color image and depth image is a ...
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von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
A number of pattern recognition tasks, e.g., face verification, can be b...
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Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation
Domain adaptation (DA) is transfer learning which aims to leverage label...
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Close Yet Distinctive Domain Adaptation
Domain adaptation is transfer learning which aims to generalize a learni...
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DeepVisage: Making face recognition simple yet with powerful generalization skills
Face recognition (FR) methods report significant performance by adopting...
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Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition
In this paper, we present a novel approach to automatic 3D Facial Expres...
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Automatic video scene segmentation based on spatial-temporal clues and rhythm
With ever increasing computing power and data storage capacity, the pote...
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