activity
20232026
most citedConditional Diffusion Models for Semantic 3D Brain MRI Synthesis

116 citations · 132 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

SGWIB:Sliced Gromov-Wasserstein Information Bottleneck for Video Highlight Detection

Hanjuan Huang, Yung-Chieh Yeh, Hsing-Kuo Pao

Video highlight detection aims to identify temporally important segments that capture the most informative or engaging events in a video. Reliable prediction therefore requires not…

cs.CV2026★ 1 cited

Parallel Swin Transformer-Enhanced 3D MRI-to-CT Synthesis for MRI-Only Radiotherapy Planning

Zolnamar Dorjsembe, Hung-Yi Chen, Furen Xiao +1

MRI provides superior soft tissue contrast without ionizing radiation; however, the absence of electron density information limits its direct use for dose calculation. As a result,…

cs.LG2026

Data Complexity-aware Deep Model Performance Forecasting

Yen-Chia Chen, Hsing-Kuo Pao, Hanjuan Huang

Deep learning models are widely used across computer vision and other domains. When working on the model induction, selecting the right architecture for a given dataset often relie…

cs.CL2025

BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices

Euhid Aman, Esteban Carlin, Hsing-Kuo Pao +3

Cross-attention transformers and other multimodal vision-language models excel at grounding and generation; however, their extensive, full-precision backbones make it challenging t…

cs.DM2024

The -Curve as an -Dimensional Hypersphere: Properties and Analysis

Diego Vazquez Gonzalez, Hsing-Kuo Pao

In this research, we introduce an algorithm that produces what appears to be a new mathematical object as a consequence of projecting the \( n \)-dimensional \( Z \)-curve onto an…

cs.CL2024★ 1 cited

Large Language Model Pruning

Hanjuan Huang, Hao-Jia Song, Hsing-Kuo Pao

We surely enjoy the larger the better models for their superior performance in the last couple of years when both the hardware and software support the birth of such extremely huge…

cs.CV2024★ 14 cited

Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation

Zolnamar Dorjsembe, Hsing-Kuo Pao, Furen Xiao

This study introduces Polyp-DDPM, a diffusion-based method for generating realistic images of polyps conditioned on masks, aimed at enhancing the segmentation of gastrointestinal (…

eess.IV2023★ 116 cited

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis

Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed +1

Artificial intelligence (AI) in healthcare, especially in medical imaging, faces challenges due to data scarcity and privacy concerns. Addressing these, we introduce Med-DDPM, a di…