2 citations · 2 across the 5 of their papers we have counts for
5 papers
LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift
Haozhe Si, Yuxuan Wan, Yuqing Wang +3
Modeling hyperspectral imagery (HSI) across different sensors presents a fundamental challenge due to variations in wavelength coverage, band sampling, and channel dimensionality.…
MedSAD-CLIP: Supervised CLIP with Token-Patch Cross-Attention for Medical Anomaly Detection and Segmentation
Thuy Truong Tran, Minh Kha Do, Phuc Nguyen Duy +1
Medical anomaly detection (MAD) and segmentation play a critical role in assisting clinical diagnosis by identifying abnormal regions in medical images and localizing pathological…
Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery
Minh Kha Do, Wei Xiang, Kang Han +5
Vision-language foundation models (VLFMs) promise zero-shot and retrieval understanding for Earth observation. While operational satellite systems often lack full multi-spectral co…
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
Haozhe Si, Yuxuan Wan, Minh Do +3
Geospatial raster data, such as that collected by satellite-based imaging systems at different times and spectral bands, hold immense potential for enabling a wide range of high-im…
Transforming the Hybrid Cloud for Emerging AI Workloads
Deming Chen, Alaa Youssef, Ruchi Pendse +42
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet th…