| 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), 1-13, 2019 | 126 | 2019 |
| Tasking on natural statistics of infrared images TR Goodall, AC Bovik, NG Paulter IEEE Transactions on Image Processing 25 (1), 65-79, 2015 | 69 | 2015 |
| Study of 3D virtual reality picture quality M Chen, Y Jin, T Goodall, X Yu, AC Bovik IEEE Journal of Selected Topics in Signal Processing 14 (1), 89-102, 2019 | 56 | 2019 |
| Subjective and objective quality assessment of 2D and 3D foveated video compression in virtual reality Y Jin, M Chen, T Goodall, A Patney, AC Bovik IEEE Transactions on Image Processing 30, 5905-5919, 2021 | 27 | 2021 |
| Blind picture upscaling ratio prediction TR Goodall, I Katsavounidis, Z Li, A Aaron, AC Bovik IEEE Signal Processing Letters 23 (12), 1801-1805, 2016 | 17 | 2016 |
| No-reference task performance prediction on distorted LWIR images T Goodall, AC Bovik 2014 Southwest Symposium on Image Analysis and Interpretation, 89-92, 2014 | 15 | 2014 |
| 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 | 13 | 2012 |
| Learning to compress videos without computing motion M Chen, T Goodall, A Patney, AC Bovik Signal Processing: Image Communication 103, 116633, 2022 | 9 | 2022 |
| Detecting and mapping video impairments TR Goodall, AC Bovik IEEE Transactions on Image Processing 28 (6), 2680-2691, 2018 | 9 | 2018 |
| 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 | 8 | 2015 |
| Techniques for robustly predicting perceptual video quality A Aaron, Z Li, T Goodall US Patent 10,827,185, 2020 | 7 | 2020 |
| A foveated video quality assessment model using space-variant natural scene statistics Y Jin, T Goodall, A Patney, R Webb, AC Bovik 2021 IEEE International Conference on Image Processing (ICIP), 1419-1423, 2021 | 6 | 2021 |
| 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 | 5 | 2016 |
| 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, 1-2, 2019 | 4 | 2019 |
| 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 | 4 | 2017 |
| Calibrated sensitivity model approximating the eye T Goodall, A Patney, T Lian, R Bachy, G Rufo US Patent 11,354,575, 2022 | 2 | 2022 |
| Measurement of non-uniformity noise A Bovik, T Goodall US Patent 10,726,532, 2020 | 2 | 2020 |
| Classifying images and videos A Bovik, T Goodall US Patent 10,657,378, 2020 | 2 | 2020 |
| 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 | 2 | 2017 |
| Corrections to “study of 3d virtual reality picture quality”[jan 20 89-102] M Chen, Y Jin, T Goodall, X Yu, AC Bovik IEEE Journal of Selected Topics in Signal Processing 14 (2), 472-472, 2020 | 1 | 2020 |
