1 citations · 1 across the 5 of their papers we have counts for
7 papers
Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
Taiga Shimomiya, Taichi Kusumi, Masayuki Uesugi +4
X-ray computed tomography (CT) reveals the materials' internal structures non-destructively from a tilt series of projected images. Filtered back projection (FBP) is a widely-adopt…
Development of ultra-high efficiency soft X-ray angle-resolved photoemission spectroscopy equipped with deep prior-based denoising method
Kohei Yamagami, Yuichi Yokoyama, Yuta Sumiya +3
Soft X-ray angle resolved photoemission spectroscopy (SX-ARPES) is one of the most powerful spectroscopic techniques to visualize the three-dimensional bulk electronic structure in…
Deep prior-based denoising for state-of-the-art scientific imaging and metrology
Yuichi Yokoyama, Kohei Yamagami, Yuta Sumiya +2
Deep learning has revolutionized computer vision, yet a major gap persists between complex, data-hungry deep learning models and the practical demands of state-of-the-art scientifi…
PoseLLM: Enhancing Language-Guided Human Pose Estimation with MLP Alignment
Dewen Zhang, Tahir Hussain, Wangpeng An +1
Human pose estimation traditionally relies on architectures that encode keypoint priors, limiting their generalization to novel poses or unseen keypoints. Recent language-guided ap…
LLaVA-Pose: Enhancing Human Pose and Action Understanding via Keypoint-Integrated Instruction Tuning
Dewen Zhang, Tahir Hussain, Wangpeng An +1
Current vision-language models (VLMs) are well-adapted for general visual understanding tasks. However, they perform inadequately when handling complex visual tasks related to huma…
Keypoint-Integrated Instruction-Following Data Generation for Enhanced Human Pose and Action Understanding in Multimodal Models
Dewen Zhang, Wangpeng An, Hayaru Shouno
Current vision-language multimodal models are well-adapted for general visual understanding tasks. However, they perform inadequately when handling complex visual tasks related to…