Image and video compression with neural networks: A review
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 …
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 …
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) …
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
Editguard: Versatile image watermarking for tamper localization and copyright protection
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 …
copyright integrity and information security. Current deep image watermarking while widely …
Invertible image rescaling
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
enhance deep fusion of network automation and federated learning (FL), but data privacy is …
Generative adversarial network technologies and applications in computer vision
L **, 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 …
generative adversarial networks (GANs) provides a new method and model for computer …