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01/26/2023
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
With the rapid development of wearable cameras, a massive collection of ...
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12/13/2021
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness
Deep discriminative models (DDMs), such as deep regression forests, deep...
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07/20/2021
Boosting few-shot classification with view-learnable contrastive learning
The goal of few-shot classification is to classify new categories with f...
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03/28/2021
Self-supervised Discriminative Feature Learning for Multi-view Clustering
Multi-view clustering is an important research topic due to its capabili...
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03/05/2021
Contrastive Disentanglement in Generative Adversarial Networks
Disentanglement is defined as the problem of learninga representation th...
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07/26/2020
Deep Embedded Multi-view Clustering with Collaborative Training
Multi-view clustering has attracted increasing attentions recently by ut...
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04/03/2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples
Deep discriminative models (e.g. deep regression forests, deep Gaussian ...
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10/08/2019
Self-Paced Deep Regression Forests for Facial Age Estimation
Facial age estimation is an important and challenging problem in compute...
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12/17/2018