59 citations · 105 across the 8 of their papers we have counts for
11 papers
Physically Inspired Dense Fusion Networks for Relighting
Amirsaeed Yazdani, Tiantong Guo, Vishal Monga
Image relighting has emerged as a problem of significant research interest inspired by augmented reality applications. Physics-based traditional methods, as well as black box deep…
NTIRE 2021 Depth Guided Image Relighting Challenge
Majed El Helou, Ruofan Zhou, Sabine Susstrunk +1
Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalizati…
NTIRE 2020 Challenge on NonHomogeneous Dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
Venkateswararao Cherukuri, Tiantong Guo, Steve. J. Schiff +1
High resolution Magnetic Resonance (MR) images are desired for accurate diagnostics. In practice, image resolution is restricted by factors like hardware and processing constraints…
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks
Tiantong Guo, Hojjat S. Mousavi, Vishal Monga
Deep learning methods, in particular, trained Convolutional Neural Networks (CNN) have recently been shown to produce compelling results for single image Super-Resolution (SR). Inv…
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala +1
Cell nuclei detection is a challenging research topic because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying nuclei shapes, sizes, and o…
Deep MR Image Super-Resolution Using Structural Priors
Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff +1
High resolution magnetic resonance (MR) images are desired for accurate diagnostics. In practice, image resolution is restricted by factors like hardware, cost and processing const…
Deep Networks with Shape Priors for Nucleus Detection
Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala +1
Detection of cell nuclei in microscopic images is a challenging research topic, because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying n…
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery
Tiep Vu, Lam Nguyen, Tiantong Guo +1
Classifying buried and obscured targets of interest from other natural and manmade clutter objects in the scene is an important problem for the U.S. Army. Targets of interest are o…
Deep Image Super Resolution via Natural Image Priors
Hojjat S. Mousavi, Tiantong Guo, Vishal Monga
Single image super-resolution (SR) via deep learning has recently gained significant attention in the literature. Convolutional neural networks (CNNs) are typically learned to repr…
Orthogonally Regularized Deep Networks For Image Super-resolution
Tiantong Guo, Hojjat S. Mousavi, Vishal Monga
Deep learning methods, in particular trained Convolutional Neural Networks (CNNs) have recently been shown to produce compelling state-of-the-art results for single image Super-Res…