most citedCLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20242 cited

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration

Yuhong Zhang, Hengsheng Zhang, Xinning Chai +4

Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc. How…

eess.SP20245 cited

CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition

Yuan Liao, Yuhong Zhang, Shenghuan Wang +5

Recent advances in non-invasive EEG technology have broadened its application in emotion recognition, yielding a multitude of related datasets. Yet, deep learning models struggle t…

cs.CV2024

Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior

Han Wang, Xinning Chai, Yiwen Wang +3

Colorizing grayscale images offers an engaging visual experience. Existing automatic colorization methods often fail to generate satisfactory results due to incorrect semantic colo…

q-bio.PE2024

Modelling infectious disease transmission dynamics in conference environments: An individual-based approach

Xue Liu, Yue Deng, Jingying Huang +2

The global public health landscape is perpetually challenged by the looming threat of infectious diseases. Central to addressing this concern is the imperative to prevent and manag…

cs.HC2024

From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking

Yuhong Zhang, Shilai Yang, Gert Cauwenberghs +1

Reading comprehension, a fundamental cognitive ability essential for knowledge acquisition, is a complex skill, with a notable number of learners lacking proficiency in this domain…