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06/02/2023
Masked Autoencoder for Unsupervised Video Summarization
Summarizing a video requires a diverse understanding of the video, rangi...
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03/30/2023
Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection
Temporal action detection aims to predict the time intervals and the cla...
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06/30/2022
Exploring Temporally Dynamic Data Augmentation for Video Recognition
Data augmentation has recently emerged as an essential component of mode...
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04/08/2022
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning
Recent self-supervised video representation learning methods focus on ma...
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02/02/2021
Test-Time Adaptation for Out-of-distributed Image Inpainting
Deep learning-based image inpainting algorithms have shown great perform...
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10/15/2020
Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features
Surveillance video anomaly detection searches for anomalous events such ...
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10/05/2020
Smoother Network Tuning and Interpolation for Continuous-level Image Processing
In Convolutional Neural Network (CNN) based image processing, most studi...
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09/30/2020
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
To enhance image compression performance, recent deep neural network-bas...
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08/13/2020
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
Deep-Learning-based video recognition has shown promising improvements a...
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05/27/2020
Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation
Video frame extrapolation is a task to predict future frames when the pa...
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03/11/2020
Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
In Convolutional Neural Network (CNN) based image processing, most of th...
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03/11/2020
Regularized Adaptation for Stable and Efficient Continuous-Level Learning
In Convolutional Neural Network (CNN) based image processing, most of th...
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03/02/2020
Relational Deep Feature Learning for Heterogeneous Face Recognition
Heterogeneous Face Recognition (HFR) is a task that matches faces across...
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07/24/2019