Devignet: High-resolution vignetting removal via a dual aggregated fusion transformer with adaptive channel expansion
Vignetting commonly occurs as a degradation in images resulting from factors such as lens
design, improper lens hood usage, and limitations in camera sensors. This degradation …
design, improper lens hood usage, and limitations in camera sensors. This degradation …
QEAN: quaternion-enhanced attention network for visual dance generation
Z Zhou, Y Huo, G Huang, A Zeng, X Chen, L Huang… - The Visual …, 2024 - Springer
The study of music-generated dance is a novel and challenging image generation task. It
aims to input a piece of music and seed motions, then generate natural dance movements …
aims to input a piece of music and seed motions, then generate natural dance movements …
Wavenhancer: Unifying wavelet and transformer for image enhancement
Image enhancement is a widely used technique in digital image processing that aims to
improve image aesthetics and visual quality. However, traditional methods of enhancement …
improve image aesthetics and visual quality. However, traditional methods of enhancement …
MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the
captured photographs, affecting the photographs' visual quality. The main challenge in flare …
captured photographs, affecting the photographs' visual quality. The main challenge in flare …
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
Y Dong, X Chen, Y Shen, MKP Ng, T Qian… - arXiv preprint arXiv …, 2024 - arxiv.org
Emotion recognition based on Electroencephalography (EEG) has gained significant
attention and diversified development in fields such as neural signal processing and …
attention and diversified development in fields such as neural signal processing and …
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation
Y Chen, G Huang, K Huang, Z Lin, G Zhong… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate segmentation of lesion regions is crucial for clinical diagnosis and treatment across
various diseases. While deep convolutional networks have achieved satisfactory results in …
various diseases. While deep convolutional networks have achieved satisfactory results in …
Adaptive Query Prompting for Multi-Domain Landmark Detection
Medical landmark detection is crucial in various medical imaging modalities and
procedures. Although deep learning-based methods have achieve promising performance …
procedures. Although deep learning-based methods have achieve promising performance …
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
Y Chen, P Chen, X Zhou, Y Lei, Z Zhou, M Li - arXiv preprint arXiv …, 2024 - arxiv.org
In the field of computer vision, visible light images often exhibit low contrast in low-light
conditions, presenting a significant challenge. While infrared imagery provides a potential …
conditions, presenting a significant challenge. While infrared imagery provides a potential …