Manu Mathew Thomas
Manu Mathew Thomas
Graduate Student
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Cited by
Cited by
Development of an innovative mHealth platform for remote physical activity monitoring and health coaching of cardiac rehabilitation patients
S Kitsiou, M Thomas, GE Marai, N Maglaveras, G Kondos, R Arena, ...
2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017
Image denoising using a generative adversarial network
A Alsaiari, R Rustagi, MM Thomas, AG Forbes
2019 IEEE 2nd international conference on information and computer …, 2019
Deep illumination: Approximating dynamic global illumination with generative adversarial network
MM Thomas, AG Forbes
arXiv preprint arXiv:1710.09834, 2017
A reduced-precision network for image reconstruction
MM Thomas, K Vaidyanathan, G Liktor, AG Forbes
ACM Transactions on Graphics (TOG) 39 (6), 1-12, 2020
Echo: A Large Display Interactive Visualization of ICU Data for Effective Care Handoffs
M. Thomas, T. Kanampallil, J. Abraham, GE Marai
The 8th IEEE Workshop on Visual Analytics in Healthcare VAHC’17, 1-8, 2017
Art i don’t like: An anti-recommender system for visual art
S Frost, MM Thomas, AG Forbes
Proceedings of Museums and the Web, 2019
Temporally stable real-time joint neural denoising and supersampling
MM Thomas, G Liktor, C Peters, S Kim, K Vaidyanathan, AG Forbes
Proceedings of the ACM on Computer Graphics and Interactive Techniques 5 (3 …, 2022
TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy
R Xu, MM Thomas, A Leow, O Ajilore, AG Forbes
2019 IEEE Visualization Conference (VIS), 186-190, 2019
Learning patterns in sample distributions for monte carlo variance reduction
O Elek, MM Thomas, A Forbes
arXiv preprint arXiv:1906.00124, 2019
Joint denoising and supersampling of graphics data
MM Thomas, K Vaidyanathan, A Kaplanyan, S Kim, G Liktor
US Patent App. 17/958,211, 2023
Temporally amortized supersampling using a mixed precision convolutional neural network
S Kim, K Vaidyanathan, G Liktor, MM Thomas
US Patent App. 17/516,112, 2023
Exploring Deep Learning Techniques for Real-time Graphics
MM Thomas
University of Illinois at Chicago, 2018
MC2-Mining Factory Pollution Data through a Spatial-Nonspatial Flow Approach (Honorable Mention for Clarity in Visual Communication)
J Castor, J Borowicz, A Burks, M Thomas, T Luciani, GE Marai
2017 IEEE Conference on Visual Analytics Science and Technology (VAST), 203-204, 2017
MW19| Boston
SY Proposal, G Awards, S Frost, MM Thomas, AG Forbes
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