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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
1902017
VMAF: The journey continues
Z Li, C Bampis, J Novak, A Aaron, K Swanson, A Moorthy, JD Cock
Netflix Technology Blog 25 (1), 2018
1592018
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
1492017
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
135*2021
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
1242018
Feature-based prediction of streaming video QoE: Distortions, stalling and memory
CG Bampis, AC Bovik
Signal Processing: Image Communication 68, 218-228, 2018
109*2018
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
802018
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
712016
Recover subjective quality scores from noisy measurements
Z Li, CG Bampis
2017 Data compression conference (DCC), 52-61, 2017
692017
Continuous prediction of streaming video QoE using dynamic networks
CG Bampis, Z Li, AC Bovik
IEEE Signal Processing Letters 24 (7), 1083-1087, 2017
652017
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
632020
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
532019
A simple model for subject behavior in subjective experiments
Z Li, CG Bampis, L Krasula, L Janowski, I Katsavounidis
arXiv preprint arXiv:2004.02067, 2020
452020
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
402021
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
362021
Perceptual video quality prediction emphasizing chroma distortions
LH Chen, CG Bampis, Z Li, J Sole, AC Bovik
IEEE Transactions on Image Processing 30, 1408-1422, 2020
302020
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
232016
Learning to distort images using generative adversarial networks
LH Chen, CG Bampis, Z Li, AC Bovik
IEEE Signal Processing Letters 27, 2144-2148, 2020
222020
Fusion of panoramic background images using color and depth data
G Somanath, CG Bampis
US Patent 9,699,380, 2017
212017
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
192020
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