21 citations · 21 across the 2 of their papers we have counts for
4 papers
Graph-Based Pseudo-multimodal Contrastive Learning for 12-Lead ECG Representations
Mengyu Wang, Kozo Okada, Takafumi Goto +4
12-lead electrocardiogram (ECG) is a standard, non-invasive examination widely used for diagnosing coronary artery disease, where clinical interpretation relies on comparing wavefo…
Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption
Kazuki Adachi, Shin'ya Yamaguchi, Tomoki Hamagami
Pre-trained vision-language models, such as contrastive language-image pre-training (CLIP), have demonstrated a remarkable generalizability, enabling a wide range of applications,…
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai +1
This paper investigates test-time adaptation (TTA) for regression, where a regression model pre-trained in a source domain is adapted to an unknown target distribution with unlabel…
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
Luan Thanh Trinh, Tomoki Hamagami
Diffusion models are emerging as powerful solutions for generating high-fidelity and diverse images, often surpassing GANs under many circumstances. However, their slow inference s…