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20232026
most citedLatent Denoising Diffusion GAN: Faster sampling, Higher image quality

21 citations · 23 across the 5 of their papers we have counts for

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5 papers

cs.LG2026

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…

cs.CV2025

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,…

cs.LG2024

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…

cs.CV2024★ 21 cited

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…

cs.CV2023★ 2 cited

Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition

Takuro Fujii, Hayato Nakagawa, Teppei Takeshima +2

Infertility is a global health problem, and an increasing number of couples are seeking medical assistance to achieve reproduction, at least half of which are caused by men. The su…