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ORCIDTodd Richard Goodall
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2020 – today
- 2022
[j8]Meixu Chen
, Todd Goodall, Anjul Patney, Alan C. Bovik:
Learning to compress videos without computing motion. Signal Process. Image Commun. 103: 116633 (2022)- 2021
- [j7]Yize Jin, Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik:
Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality. IEEE Trans. Image Process. 30: 5905-5919 (2021) - [c8]Y. Jin, Todd Goodall, Anjul Patney, R. Webb, Alan C. Bovik:
A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics. ICIP 2021: 1419-1423 - 2020
- [j6]Meixu Chen, Yize Jin, Todd Goodall, Xiangxu Yu, Alan Conrad Bovik:
Study of 3D Virtual Reality Picture Quality. IEEE J. Sel. Top. Signal Process. 14(1): 89-102 (2020) - [j5]Meixu Chen, Yize Jin, Todd Goodall, Xiangxu Yu, Alan Conrad Bovik:
Corrections to "Study of 3D Virtual Reality Picture Quality". IEEE J. Sel. Top. Signal Process. 14(2): 472 (2020) - [i2]Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik:
Learning to Compress Videos without Computing Motion. CoRR abs/2009.14110 (2020) - [i1]Todd Goodall, Alan C. Bovik:
The VIP Gallery for Video Processing Education. CoRR abs/2012.14625 (2020)
2010 – 2019
- 2019
- [j4]Todd Richard Goodall, Alan C. Bovik:
Detecting and Mapping Video Impairments. IEEE Trans. Image Process. 28(6): 2680-2691 (2019) - [j3]Anton S. Kaplanyan, Anton Sochenov, Thomas Leimkühler, Mikhail Okunev, Todd Goodall, Gizem Rufo:
DeepFovea: neural reconstruction for foveated rendering and video compression using learned statistics of natural videos. ACM Trans. Graph. 38(6): 212:1-212:13 (2019) - [c7]Anton Kaplanyan, Anton Sochenov, Thomas Leimkühler, Mikhail Okunev, Todd Goodall, Gizem Rufo:
Deepfovea: neural reconstruction for foveated rendering and video compression using learned natural video statistics. SIGGRAPH Talks 2019: 58:1-58:2 - 2018
- [c6]Todd Richard Goodall, Alan C. Bovik:
Detecting Source Video Artifacts with Supervised Sparse Filters. PCS 2018: 204-208 - [c5]Todd Richard Goodall, Alan C. Bovik:
Artifact Detection Maps Learned using Shallow Convolutional Networks. SSIAI 2018: 101-104 - 2017
- [c4]Todd Richard Goodall, Maria Esteva, Sandra Sweat, Alan C. Bovik:
Towards automated quality curation of video collections from a realistic perspective. IEEE BigData 2017: 2240-2245 - 2016
- [j2]Todd Richard Goodall, Ioannis Katsavounidis, Zhi Li, Anne Aaron, Alan C. Bovik:
Blind Picture Upscaling Ratio Prediction. IEEE Signal Process. Lett. 23(12): 1801-1805 (2016) - [j1]Todd Richard Goodall, Alan Conrad Bovik, Nicholas G. Paulter Jr.:
Tasking on Natural Statistics of Infrared Images. IEEE Trans. Image Process. 25(1): 65-79 (2016) - [c3]Christos George Bampis, Todd Richard Goodall, Alan C. Bovik:
Sampled efficient full-reference image quality assessment models. ACSSC 2016: 561-565 - 2015
- [c2]Todd Richard Goodall, Alan C. Bovik, Haris Vikalo, Nicholas G. Paulter Jr.:
Non-uniformity correction of IR images using natural scene statistics. GlobalSIP 2015: 230-234 - 2014
- [c1]Todd Richard Goodall, Alan C. Bovik:
No-reference task performance prediction on distorted LWIR images. SSIAI 2014: 89-92
Coauthor Index
aka: Alan Conrad Bovik
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