research
∙
06/02/2023
Masked Autoencoder for Unsupervised Video Summarization
Summarizing a video requires a diverse understanding of the video, rangi...
share
research
∙
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...
research
∙
06/30/2022
Exploring Temporally Dynamic Data Augmentation for Video Recognition
Data augmentation has recently emerged as an essential component of mode...
research
∙
04/08/2022
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning
Recent self-supervised video representation learning methods focus on ma...
research
∙
02/02/2021
Test-Time Adaptation for Out-of-distributed Image Inpainting
Deep learning-based image inpainting algorithms have shown great perform...
research
∙
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 ...
research
∙
10/05/2020
Smoother Network Tuning and Interpolation for Continuous-level Image Processing
In Convolutional Neural Network (CNN) based image processing, most studi...
research
∙
09/30/2020
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
To enhance image compression performance, recent deep neural network-bas...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/11/2020
Regularized Adaptation for Stable and Efficient Continuous-Level Learning
In Convolutional Neural Network (CNN) based image processing, most of th...
research
∙
03/02/2020
Relational Deep Feature Learning for Heterogeneous Face Recognition
Heterogeneous Face Recognition (HFR) is a task that matches faces across...
research
∙
07/24/2019
