1 citations · 1 across the 5 of their papers we have counts for
7 papers
GWDM: A Guided Wavelet Diffusion Model for Realistic Histopathology Image Generation
Abdullah, Tao Huang, Ickjai Lee +2
Histopathology images are recognized as a reliable and comprehensive modality for Deep Learning (DL) based diagnosis. However, effectiveness is constrained by limited large-scale a…
HUMAN-TCI: Hierarchical Multi-Stream Motion-Aware Network with Torso-Centered Interaction for Text-to-Motion Retrieval
Muhammad Islam, Euijoon Ahn, Usman Naseem +1
Accurate retrieval of human motions is a crucial first step in text-guided human motion modeling and synthesis, as it selects semantically relevant sequences from large datasets an…
Adaptation of Foundation Models in Medical Image Analysis: Mechanisms, Evidence, and Deployment Considerations
Karma Phuntsho, Abdullah, Kyungmi Lee +2
Foundation models, pretrained on diverse data, objectives, or modalities for reuse across downstream tasks, are increasingly applied to medical image analysis. Their performance de…
Adaptation of Foundation Models for Medical Image Analysis: Strategies, Challenges, and Future Directions
Karma Phuntsho, Abdullah, Kyungmi Lee +2
Foundation models (FMs) have emerged as a transformative paradigm in medical image analysis, offering the potential to provide generalizable, task-agnostic solutions across a wide…
Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
Muhammad Islam, Tao Huang, Euijoon Ahn +1
This paper presents an in-depth survey on the use of multimodal Generative Artificial Intelligence (GenAI) and autoregressive Large Language Models (LLMs) for human motion understa…
Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior
Yanlong Yang, Jianan Liu, Guanxiong Luo +4
In industrial automation, radar is a critical sensor in machine perception. However, the angular resolution of radar is inherently limited by the Rayleigh criterion, which depends…
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah, Tao Huang, Ickjai Lee +1
The diffusion model has recently emerged as a potent approach in computer vision, demonstrating remarkable performances in the field of generative artificial intelligence. Capable…