4 papers · 1 filter
Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers
Yibing Fu, Yunpeng Zhao, Zhitao Zeng +2
Multi-modal learning integrating medical images and tabular data has significantly advanced clinical decision-making in recent years. Self-Supervised Learning (SSL) has emerged as…
EigenGS Representation: From Eigenspace to Gaussian Image Space
Lo-Wei Tai, Ching-En Li, Cheng-Lin Chen +3
Principal Component Analysis (PCA), a classical dimensionality reduction technique, and 2D Gaussian representation, an adaptation of 3D Gaussian Splatting for image representation,…
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models
Cheng Chen, Christina Giannoula, Andreas Moshovos
Diffusion models are emerging models that generate images by iteratively denoising random Gaussian noise using deep neural networks. These models typically exhibit high computation…
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization
Yunpeng Zhao, Cheng Chen, Qing You Pang +4
Addressing missing modalities presents a critical challenge in multimodal learning. Current approaches focus on developing models that can handle modality-incomplete inputs during…