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01/10/2023
Transmission Design for Active RIS-Aided Simultaneous Wireless Information and Power Transfer
Reconfigurable intelligent surface (RIS) is a revolutionary technology t...
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08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
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12/10/2021
Boosting Active Learning via Improving Test Performance
Central to active learning (AL) is what data should be selected for anno...
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07/30/2021
DPT: Deformable Patch-based Transformer for Visual Recognition
Transformer has achieved great success in computer vision, while how to ...
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03/08/2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Recently, neural architecture search (NAS) has been exploited to design ...
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08/16/2020
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
Despite recent advances in deep learning-based face frontalization metho...
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08/06/2020
Salvage Reusable Samples from Noisy Data for Robust Learning
Due to the existence of label noise in web images and the high memorizat...
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03/08/2020
DADA: Differentiable Automatic Data Augmentation
Data augmentation (DA) techniques aim to increase data variability, and ...
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08/27/2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
MixUp is an effective data augmentation method to regularize deep neural...
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03/26/2019
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection
Recently, deep learning based facial landmark detection has achieved gre...
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03/08/2019
Ranked List Loss for Deep Metric Learning
The objective of deep metric learning (DML) is to learn embeddings that ...
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12/19/2018
Learning Symmetry Consistent Deep CNNs for Face Completion
Deep convolutional networks (CNNs) have achieved great success in face c...
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11/04/2018
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Deep metric learning aims to learn a deep embedding that can capture the...
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11/01/2016
Dictionary Integration using 3D Morphable Face Models for Pose-invariant Collaborative-representation-based Classification
The paper presents a dictionary integration algorithm using 3D morphable...
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03/21/2016
Frankenstein: Learning Deep Face Representations using Small Data
Deep convolutional neural networks have recently proven extremely effect...
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04/09/2015
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Deep learning, in particular Convolutional Neural Network (CNN), has ach...
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03/21/2015
