Christos G. Bampis

Orcid: 0000-0003-0570-048X

According to our database1, Christos G. Bampis authored at least 42 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving Netflix Video Quality with Neural Networks.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Measuring and Predicting Perceptions of Video Quality Across Screen Sizes with Crowdsourcing.
Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

Comparison of Metrics for Predicting Image and Video Quality at Varying Viewing Distances.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Improving Netflix video quality with neural networks.
Proceedings of the 2nd Mile-High Video Conference, 2023

2022
A Subjective and Objective Study of Space-Time Subsampled Video Quality.
IEEE Trans. Image Process., 2022

Estimating the Resize Parameter in End-to-end Learned Image Compression.
CoRR, 2022

Banding vs. Quality: perceptual impact and objective assessment.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Convolutional Block Design for Learned Fractional Downsampling.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Predicting the Quality of Compressed Videos With Pre-Existing Distortions.
IEEE Trans. Image Process., 2021

Perceptual Video Quality Prediction Emphasizing Chroma Distortions.
IEEE Trans. Image Process., 2021

ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression.
IEEE Trans. Image Process., 2021

Towards Perceptually Optimized Adaptive Video Streaming-A Realistic Quality of Experience Database.
IEEE Trans. Image Process., 2021

A Progressive Architecture for Learned Fractional Downsampling.
Proceedings of the Picture Coding Symposium, 2021

Enhancing VMAF through New Feature Integration and Model Combination.
Proceedings of the Picture Coding Symposium, 2021

2020
Learning to Distort Images Using Generative Adversarial Networks.
IEEE Signal Process. Lett., 2020

Perceptually Optimizing Deep Image Compression.
CoRR, 2020

Adversarial Video Compression Guided by Soft Edge Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Simple Model for Subject Behavior in Subjective Experiments.
Proceedings of the Human Vision and Electronic Imaging 2020, 2020

2019
Predicting the Quality of Images Compressed After Distortion in Two Steps.
IEEE Trans. Image Process., 2019

Spatiotemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., 2019

Subjective Analysis of an End-to-end Streaming System.
Proceedings of the Image Quality and System Performance XVI, Electronic Imaging 2019, 2019

2018
Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience.
IEEE Trans. Image Process., 2018

Feature-based prediction of streaming video QoE: Distortions, stalling and memory.
Signal Process. Image Commun., 2018

Multivariate Statistical Approach to Image Quality Tasks.
J. Imaging, 2018

Natural Scene Statistics for Noise Estimation.
Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

A Simple Prediction Fusion Improves Data-driven Full-Reference Video Quality Assessment Models.
Proceedings of the 2018 Picture Coding Symposium, 2018

Multivariate Statistics for Blind Image Quality Applications.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Enhancing Temporal Quality Measurements in a Globally Deployed Streaming Video Quality Predictor.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.
IEEE Trans. Image Process., 2017

Study of Temporal Effects on Subjective Video Quality of Experience.
IEEE Trans. Image Process., 2017

Continuous Prediction of Streaming Video QoE Using Dynamic Networks.
IEEE Signal Process. Lett., 2017

SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality.
IEEE Signal Process. Lett., 2017

An Augmented Autoregressive Approach to HTTP Video Stream Quality Prediction.
CoRR, 2017

Learning to Predict Streaming Video QoE: Distortions, Rebuffering and Memory.
CoRR, 2017

Panoramic Background Estimation from RGB-D Videos.
Proceedings of the Digital Photography and Mobile Imaging XIII, Burlingame, CA, USA, January 29, 2017

Recover Subjective Quality Scores from Noisy Measurements.
Proceedings of the 2017 Data Compression Conference, 2017

Robust matrix factorization for collaborative filtering in recommender systems.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Segmentation and extraction of the spinal canal in sagittal MR images.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

Projective non-negative matrix factorization for unsupervised graph clustering.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Sampled efficient full-reference image quality assessment models.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Unifying the random walker algorithm and the SIR model for graph clustering and image segmentation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Occlusal caries detection using random walker algorithm: A graph approach.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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