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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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06/05/2022
Federated Adversarial Training with Transformers
Federated learning (FL) has emerged to enable global model training over...
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02/01/2022
CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability
In this paper, we present CAESR, an hybrid learning-based coding approac...
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06/07/2021
Reveal of Vision Transformers Robustness against Adversarial Attacks
Attention-based networks have achieved state-of-the-art performance in m...
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05/24/2021
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
Salient human detection (SHD) in dynamic 360 immersive videos is of grea...
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05/03/2021
CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection
In the past few years, numerous deep learning methods have been proposed...
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05/01/2021
Adversarial Example Detection for DNN Models: A Review
Deep Learning (DL) has shown great success in many human-related tasks, ...
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04/28/2021
Learning Synergistic Attention for Light Field Salient Object Detection
We propose a novel Synergistic Attention Network (SA-Net) to address the...
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04/19/2021
Conditional Coding and Variable Bitrate for Practical Learned Video Coding
This paper introduces a practical learned video codec. Conditional codin...
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04/16/2021
Multitask Learning for VVC Quality Enhancement and Super-Resolution
The latest video coding standard, called versatile video coding (VVC), i...
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03/09/2021
Selective and Features based Adversarial Example Detection
Security-sensitive applications that relay on Deep Neural Networks (DNNs...
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03/06/2021
Selective Encryption of the Versatile Video Coding Standard
Versatile video coding (VVC) is the next generation video coding standar...
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08/06/2020
Optical Flow and Mode Selection for Learning-based Video Coding
This paper introduces a new method for inter-frame coding based on two c...
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07/06/2020
ModeNet: Mode Selection Network For Learned Video Coding
In this paper, a mode selection network (ModeNet) is proposed to enhance...
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02/21/2020
Binary Probability Model for Learning Based Image Compression
In this paper, we propose to enhance learned image compression systems w...
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01/22/2020
A Fixation-based 360° Benchmark Dataset for Salient Object Detection
Fixation prediction (FP) in panoramic contents has been widely investiga...
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11/16/2019
Quality Assessment of DIBR-synthesized views: An Overview
The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental te...
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06/01/2019
