1 citations · 4 across the 5 of their papers we have counts for
5 papers
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation
Shao-Yuan Lo, Wei Wang, Jim Thomas +3
Monocular depth estimation (MDE) has attracted intense study due to its low cost and critical functions for robotic tasks such as localization, mapping and obstacle detection. Supe…
Deep Semantic Statistics Matching (D2SM) Denoising Network
Kangfu Mei, Vishal M. Patel, Rui Huang
The ultimate aim of image restoration like denoising is to find an exact correlation between the noisy and clear image domains. But the optimization of end-to-end denoising learnin…
Learning to restore images degraded by atmospheric turbulence using uncertainty
Rajeev Yasarla, Vishal M. Patel
Atmospheric turbulence can significantly degrade the quality of images acquired by long-range imaging systems by causing spatially and temporally random fluctuations in the index o…
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
Yiqun Mei, Pengfei Guo, Vishal M. Patel
In Heterogeneous Face Recognition (HFR), the objective is to match faces across two different domains such as visible and thermal. Large domain discrepancy makes HFR a difficult pr…
Reference-based Magnetic Resonance Image Reconstruction Using Texture Transformer
Pengfei Guo, Vishal M. Patel
Deep Learning (DL) based methods for magnetic resonance (MR) image reconstruction have been shown to produce superior performance in recent years. However, these methods either onl…