Image and video compression with neural networks: A review

S Ma, X Zhang, C Jia, Z Zhao, S Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …

Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues …

MSH Lipu, S Ansari, MS Miah, ST Meraj, K Hasan… - Journal of Energy …, 2022 - Elsevier
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …

Editguard: Versatile image watermarking for tamper localization and copyright protection

X Zhang, R Li, J Yu, Y Xu, W Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
In the era of AI-generated content (AIGC) malicious tampering poses imminent threats to
copyright integrity and information security. Current deep image watermarking while widely …

Invertible image rescaling

M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke… - Computer Vision–ECCV …, 2020 - Springer
High-resolution digital images are usually downscaled to fit various display screens or save
the cost of storage and bandwidth, meanwhile the post-upscaling is adopted to recover the …

Hierarchical conditional flow: A unified framework for image super-resolution and image rescaling

J Liang, A Lugmayr, K Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Normalizing flows have recently demonstrated promising results for low-level vision tasks.
For image super-resolution (SR), it learns to predict diverse photo-realistic high-resolution …

Deep learning-based video coding: A review and a case study

D Liu, Y Li, J Lin, H Li, F Wu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The past decade has witnessed the great success of deep learning in many disciplines,
especially in computer vision and image processing. However, deep learning-based video …

Learned image downscaling for upscaling using content adaptive resampler

W Sun, Z Chen - IEEE Transactions on Image Processing, 2020 - ieeexplore.ieee.org
Deep convolutional neural network based image super-resolution (SR) models have shown
superior performance in recovering the underlying high resolution (HR) images from low …

V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection

X Zhang, Y Xu, R Li, J Yu, W Li, Z Xu… - Proceedings of the 32nd …, 2024 - dl.acm.org
AI-generated video has revolutionized short video production, filmmaking, and personalized
media, making video local editing an essential tool. However, this progress also blurs the …

Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution

B Cao, J Zhao, X Liu, Y Li - Science China Information Sciences, 2024 - Springer
Mobile telemedicine systems based on the next-generation communication will significantly
enhance deep fusion of network automation and federated learning (FL), but data privacy is …

Generative adversarial network technologies and applications in computer vision

L Jin, F Tan, S Jiang - Computational intelligence and …, 2020 - Wiley Online Library
Computer vision is one of the hottest research fields in deep learning. The emergence of
generative adversarial networks (GANs) provides a new method and model for computer …