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Christos G. Bampis
Christos G. Bampis
Senior Software Engineer, Netflix Inc.
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Study of temporal effects on subjective video quality of experience
CG Bampis, Z Li, AK Moorthy, I Katsavounidis, A Aaron, AC Bovik
IEEE Transactions on Image Processing 26 (11), 5217-5231, 2017
1362017
SpEED-QA: Spatial efficient entropic differencing for image and video quality
CG Bampis, P Gupta, R Soundararajan, AC Bovik
IEEE signal processing letters 24 (9), 1333-1337, 2017
972017
Feature-based prediction of streaming video QoE: Distortions, stalling and memory
CG Bampis, AC Bovik
Signal Processing: Image Communication 68, 218-228, 2018
82*2018
Spatiotemporal feature integration and model fusion for full reference video quality assessment
CG Bampis, Z Li, AC Bovik
IEEE Transactions on Circuits and Systems for Video Technology 29 (8), 2256-2270, 2018
762018
Towards perceptually optimized adaptive video streaming-a realistic quality of experience database
CG Bampis, Z Li, I Katsavounidis, TY Huang, C Ekanadham, AC Bovik
IEEE Transactions on Image Processing 30, 5182-5197, 2021
73*2021
VMAF: The journey continues
Z Li, C Bampis, J Novak, A Aaron, K Swanson, A Moorthy, JD Cock
Netflix Technology Blog 25, 2018
682018
Recurrent and dynamic models for predicting streaming video quality of experience
CG Bampis, Z Li, I Katsavounidis, AC Bovik
IEEE Transactions on Image Processing 27 (7), 3316-3331, 2018
622018
Graph-driven diffusion and random walk schemes for image segmentation
CG Bampis, P Maragos, AC Bovik
IEEE Transactions on Image Processing 26 (1), 35-50, 2016
582016
Continuous prediction of streaming video QoE using dynamic networks
CG Bampis, Z Li, AC Bovik
IEEE Signal Processing Letters 24 (7), 1083-1087, 2017
532017
Recover subjective quality scores from noisy measurements
Z Li, CG Bampis
2017 Data compression conference (DCC), 52-61, 2017
442017
Predicting the quality of images compressed after distortion in two steps
X Yu, CG Bampis, P Gupta, AC Bovik
IEEE Transactions on Image Processing 28 (12), 5757-5770, 2019
372019
ProxIQA: A proxy approach to perceptual optimization of learned image compression
LH Chen, CG Bampis, Z Li, A Norkin, AC Bovik
IEEE Transactions on Image Processing 30, 360-373, 2020
302020
Fusion of panoramic background images using color and depth data
G Somanath, CG Bampis
US Patent 9,699,380, 2017
182017
Predicting the quality of compressed videos with pre-existing distortions
X Yu, N Birkbeck, Y Wang, CG Bampis, B Adsumilli, AC Bovik
IEEE Transactions on Image Processing 30, 7511-7526, 2021
172021
A simple prediction fusion improves data-driven full-reference video quality assessment models
CG Bampis, AC Bovik, Z Li
2018 Picture Coding Symposium (PCS), 298-302, 2018
172018
Live Netflix video quality of experience database
CG Bampis, Z Li, AK Moorthy, I Katsavounidis, A Aaron, AC Bovik
Online: http://live. ece. utexas. edu/research/LIVE_NFLXStudy/index. html, 2016
172016
A simple model for subject behavior in subjective experiments
Z Li, CG Bampis, L Janowski, I Katsavounidis
Electronic Imaging 2020 (11), 131-1-131-14, 2020
162020
Adversarial video compression guided by soft edge detection
S Kim, JS Park, CG Bampis, J Lee, MK Markey, AG Dimakis, AC Bovik
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
132020
Natural scene statistics for noise estimation
P Gupta, CG Bampis, Y Jin, AC Bovik
2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2018
132018
A subjective and objective study of space-time subsampled video quality
DY Lee, S Paul, CG Bampis, H Ko, J Kim, SY Jeong, B Homan, AC Bovik
IEEE Transactions on Image Processing 31, 934-948, 2021
112021
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