5 papers
Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability
Jiahui Song, Sagar Shrestha, Xiao Fu
This paper addresses the fusion of a pair of spatially unregistered hyperspectral image (HSI) and multispectral image (MSI) covering roughly overlapping regions. HSIs offer high sp…
Diversified Flow Matching with Translation Identifiability
Sagar Shrestha, Xiao Fu
Diversified distribution matching (DDM) finds a unified translation function mapping a diverse collection of conditional source distributions to their target counterparts. DDM was…
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha, Xiao Fu
Unsupervised domain translation (UDT) aims to find functions that convert samples from one domain (e.g., sketches) to another domain (e.g., photos) without changing the high-level…
Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
Sagar Shrestha, Xiao Fu
Understanding identifiability of latent content and style variables from unaligned multi-domain data is essential for tasks such as domain translation and data generation. Existing…
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Subash Timilsina, Sagar Shrestha, Xiao Fu
A core task in multi-modal learning is to integrate information from multiple feature spaces (e.g., text and audio), offering modality-invariant essential representations of data.…