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09/11/2023
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition
Contrastive learning has achieved great success in skeleton-based action...
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08/22/2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Self-supervised pretraining (SSP) has emerged as a popular technique in ...
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03/22/2023
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoenc...
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11/23/2022
ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation
Vision transformers, which were originally developed for natural languag...
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11/23/2022
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays
Chest X-rays (CXRs) are a widely used imaging modality for the diagnosis...
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08/29/2022
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
The availability of large scale data with high quality ground truth labe...
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06/15/2022
Blockchain based Secure Energy Marketplace Scheme to Motivate P2P Microgrids
In the past years trend of microgrids is increasing very fast to reduce ...
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05/30/2022
GMML is All you Need
Vision transformers have generated significant interest in the computer ...
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11/30/2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Self-supervised pretraining is the method of choice for natural language...
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11/25/2021
Global Interaction Modelling in Vision Transformer via Super Tokens
With the popularity of Transformer architectures in computer vision, the...
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11/09/2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Deep neural networks are susceptible to adversarially crafted, small and...
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09/02/2021
Adversarial Robustness for Unsupervised Domain Adaptation
Extensive Unsupervised Domain Adaptation (UDA) studies have shown great ...
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04/08/2021
SiT: Self-supervised vIsion Transformer
Self-supervised learning methods are gaining increasing traction in comp...
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03/05/2021
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
Face recognition (FR) using deep convolutional neural networks (DCNNs) h...
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01/19/2021
AXM-Net: Cross-Modal Context Sharing Attention Network for Person Re-ID
Cross-modal person re-identification (Re-ID) is critical for modern vide...
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10/20/2020
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation
The most existing studies in the facial age estimation assume training a...
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09/07/2020
ECOC as a Method of Constructing Deep Convolutional Neural Network Ensembles
Deep neural networks have enhanced the performance of decision making sy...
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06/19/2020
Towards an Adversarially Robust Normalization Approach
Batch Normalization (BatchNorm) is effective for improving the performan...
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11/29/2018
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
Among the plethora of techniques devised to curb the prevalence of noise...
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11/17/2017
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
We present a new loss function, namely Wing loss, for robust facial land...
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09/04/2017
Medical Image Analysis using Convolutional Neural Networks: A Review
Medical image analysis is the science of analyzing or solving medical pr...
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08/23/2017
3D Morphable Models as Spatial Transformer Networks
In this paper, we show how a 3D Morphable Model (i.e. a statistical mode...
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05/05/2017
Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild
We present a framework for robust face detection and landmark localisati...
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03/24/2017