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11/23/2022
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training
Static appearance of video may impede the ability of a deep neural netwo...
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10/12/2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Learning from non-stationary data streams, also called Task-Free Continu...
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07/20/2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization
Due to their inference, data representation and reconstruction propertie...
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07/11/2022
Learning an evolved mixture model for task-free continual learning
Recently, continual learning (CL) has gained significant interest becaus...
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03/25/2022
Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model
In this article, we provide the appendix for Lifelong Generative Modelli...
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12/15/2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Variational Autoencoders (VAEs) suffer from degenerated performance, whe...
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08/25/2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
Recent research efforts in lifelong learning propose to grow a mixture o...
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07/09/2021
Lifelong Twin Generative Adversarial Networks
In this paper, we propose a new continuously learning generative model, ...
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07/09/2021
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood
Learning disentangled and interpretable representations is an important ...
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07/09/2021
Lifelong Mixture of Variational Autoencoders
In this paper, we propose an end-to-end lifelong learning mixture of exp...
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07/09/2021
Lifelong Teacher-Student Network Learning
A unique cognitive capability of humans consists in their ability to acq...
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03/29/2021
Video Classification with FineCoarse Networks
A rich representation of the information in video data can be realized b...
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07/20/2020
Learning latent representations across multiple data domains using Lifelong VAEGAN
The problem of catastrophic forgetting occurs in deep learning models tr...
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07/17/2020
Region-based Non-local Operation for Video Classification
Convolutional Neural Networks (CNNs) model long-range dependencies by de...
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05/06/2020
Generating Memorable Images Based on Human Visual Memory Schemas
This research study proposes using Generative Adversarial Networks (GAN)...
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02/11/2020
Learning spatio-temporal representations with temporal squeeze pooling
In this paper, we propose a new video representation learning method, na...
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03/05/2019
Defining Image Memorability using the Visual Memory Schema
Memorability of an image is a characteristic determined by the human obs...
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02/23/2017