Todd Goodall Bell
Todd Goodall Bell
Facebook Reality Labs
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TitleCited byYear
Tasking on natural statistics of infrared images
TR Goodall, AC Bovik, NG Paulter
IEEE Transactions on Image Processing 25 (1), 65-79, 2015
412015
Blind picture upscaling ratio prediction
TR Goodall, I Katsavounidis, Z Li, A Aaron, AC Bovik
IEEE Signal Processing Letters 23 (12), 1801-1805, 2016
102016
No-reference task performance prediction on distorted LWIR images
T Goodall, AC Bovik
2014 Southwest Symposium on Image Analysis and Interpretation, 89-92, 2014
92014
Parallelizing principal component analysis for robust facial recognition using CUDA
T Goodall, S Gibson, MC Smith
2012 Symposium on Application Accelerators in High Performance Computing …, 2012
92012
Non-uniformity correction of IR images using natural scene statistics
T Goodall, AC Bovik, H Vikalo, NG Paulter
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
72015
75‐1: Invited Paper: Perceptual Issues of Streaming Video
AC Bovik, C Bampis, TR Goodall
SID Symposium Digest of Technical Papers 48 (1), 1097-1100, 2017
32017
Sampled efficient full-reference image quality assessment models
CG Bampis, TR Goodall, AC Bovik
2016 50th Asilomar Conference on Signals, Systems and Computers, 561-565, 2016
32016
Perceptual Image and Video Quality
D Ghadiyaram, T Goodall, LK Choi, AC Bovik
Encyc. Img. Proc, 2018
12018
Evaluation of non-reference quality assessment algorithms to curate born-digital video collections
M Esteva, A Bowen, TR Goodall, AC Bovik, ZB Abel
Archiving Conference 2015 (1), 124-129, 2015
12015
DeepFovea: neural reconstruction for foveated rendering and video compression using learned statistics of natural videos
AS Kaplanyan, A Sochenov, T Leimkühler, M Okunev, T Goodall, G Rufo
ACM Transactions on Graphics (TOG) 38 (6), 212, 2019
2019
Study of 3D Virtual Reality Picture Quality
M Chen, Y Jin, T Goodall, X Yu, AC Bovik
arXiv preprint arXiv:1910.03074, 2019
2019
Deepfovea: neural reconstruction for foveated rendering and video compression using learned natural video statistics
A Kaplanyan, A Sochenov, T Leimkühler, M Okunev, T Goodall, G Rufo
ACM SIGGRAPH 2019 Talks, 58, 2019
2019
Measurement of non-uniformity noise
A Bovik, T Goodall
US Patent App. 15/758,631, 2019
2019
Virtual Eye: a Spatial-Temporal Bottom-Up Eye Sensitivity Model
T Goodall
2019
Detecting and Mapping Video Impairments
TR Goodall, AC Bovik
IEEE Transactions on Image Processing 28 (6), 2680-2691, 2018
2018
Classifying images and videos
A Bovik, T Goodall
US Patent App. 15/754,249, 2018
2018
Detecting Source Video Artifacts with Supervised Sparse Filters
TR Goodall, AC Bovik
2018 Picture Coding Symposium (PCS), 204-208, 2018
2018
Inspection and evaluation of artifacts in digital video sources
TR Goodall
2018
Artifact Detection Maps Learned using Shallow Convolutional Networks
TR Goodall, AC Bovik
2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2018
2018
Towards automated quality curation of video collections from a realistic perspective
T Goodall, M Esteva, S Sweat, AC Bovik
2017 IEEE International Conference on Big Data (Big Data), 2240-2245, 2017
2017
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