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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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07/12/2023
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression
Over the last few years, neural image compression has gained wide attent...
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07/12/2023
AICT: An Adaptive Image Compression Transformer
Motivated by the efficiency investigation of the Tranformer-based transf...
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07/05/2023
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
Recently, the performance of neural image compression (NIC) has steadily...
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07/04/2023
Immersive Media and Massive Twinning: Advancing Towards the Metaverse
The advent of the Metaverse concept has further expedited the evolution ...
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10/01/2022
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
Thanks to the remarkable advances in generative adversarial networks (GA...
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07/05/2022
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images
The quality of patient care associated with diagnostic radiology is prop...
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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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07/12/2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
Despite the enormous performance of deepneural networks (DNNs), recent s...
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07/07/2021
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
As various databases of facial expressions have been made accessible ove...
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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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12/29/2020
Quality-Driven Dynamic VVC Frame Partitioning for Efficient Parallel Processing
VVC is the next generation video coding standard, offering coding capabi...
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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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06/01/2019