42 citations · 83 across the 12 of their papers we have counts for
5 papers · 1 filter
DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation
Yiqun Duan, Jinzhao Zhou, Zhen Wang +2
The translation of brain dynamics into natural language is pivotal for brain-computer interfaces (BCIs). With the swift advancement of large language models, such as ChatGPT, the n…
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision
Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang +2
This paper presents BELT, a novel model and learning framework for the pivotal topic of brain-to-language translation research. The translation from noninvasive brain signals into…
Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics
Yiqun Duan, Jinzhao Zhou, Zhen Wang +3
The differences in brain dynamics across human subjects, commonly referred to as human artifacts, have long been a challenge in the field, severely limiting the generalizability of…
A Closer Look at the Explainability of Contrastive Language-Image Pre-training
Yi Li, Hualiang Wang, Yiqun Duan +2
Contrastive language-image pre-training (CLIP) is a powerful vision-language model that has shown great benefits for various tasks. However, we have identified some issues with its…
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
Yiqun Duan, Xianda Guo, Zheng Zhu
Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. Current methods typically model this problem as a regression or classifi…