Search Results for author:
Found 4 papers, 2 papers with code
Digging into contrastive learning for robust depth estimation with diffusion models
In this paper, we propose a novel robust depth estimation method called D4RD, featuring a custom contrastive learning mode tailored for diffusion models to mitigate performance degradation in complex environments.
Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition
In this study, we propose a novel Joint Contrastive learning framework with Feature Alignment (JCFA) to address cross-corpus EEG-based emotion recognition.
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models
In this technical report, we explore the integration of LLMs and the popular academic writing tool, Overleaf, to enhance the efficiency and quality of academic writing.
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
In this paper, we propose WeatherDepth, a self-supervised robust depth estimation model with curriculum contrastive learning, to tackle performance degradation in complex weather conditions.
