Dmitriy S. Vatolin

Comput. Vis. Image Underst., 2024

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2024

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2024

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.

[BibT_eX]

[DOI]

Maksim Smirnov

CoRR, 2024

Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?

[BibT_eX]

[DOI]

CoRR, 2024

Bridging the Gap Between Saliency Prediction and Image Quality Assessment.

[BibT_eX]

[DOI]

Kirillov Alexey

Andrey Moskalenko

CoRR, 2024

Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics.

[BibT_eX]

[DOI]

Victoria Leonenkova

CoRR, 2024

Adversarial purification for no-reference image-quality metrics: applicability study and new methods.

[BibT_eX]

[DOI]

Anna Chistyakova

Vladislav Minashkin

CoRR, 2024

Machine Vision-Aware Quality Metrics for Compressed Image and Video Assessment.

[BibT_eX]

[DOI]

Mikhail Dremin

Konstantin Kozhemyakov

Proceedings of the Pattern Recognition - 27th International Conference, 2024

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks.

[BibT_eX]

[DOI]

Khaled Abud

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks.

[BibT_eX]

[DOI]

Khaled Abud

Maksim Velikanov

CoRR, 2023

Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric.

[BibT_eX]

[DOI]

Evgeney Bogatyrev

CoRR, 2023

Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method.

[BibT_eX]

[DOI]

CoRR, 2023

BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Unveiling the Limitations of Novel Image Quality Metrics.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Applicability limitations of differentiable full-reference image-quality metrics.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2023

2022

Temporally coherent person matting trained on fake-motion dataset.

[BibT_eX]

[DOI]

Digit. Signal Process., 2022

Applicability limitations of differentiable full-reference image-quality.

[BibT_eX]

[DOI]

CoRR, 2022

Video compression dataset and benchmark of learning-based video-quality metrics.

[BibT_eX]

[DOI]

CoRR, 2022

Combining Contrastive and Supervised Learning for Video Super-Resolution Detection.

[BibT_eX]

[DOI]

Viacheslav Meshchaninov

CoRR, 2022

Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric.

[BibT_eX]

[DOI]

Eugene Lyapustin

Anastasia Kirillova

Viacheslav Meshchaninov

Evgeney Zimin

Nikolai Karetin

CoRR, 2022

ERQA: Edge-restoration Quality Assessment for Video Super-Resolution.

[BibT_eX]

[DOI]

Anastasia Kirillova

Eugene Lyapustin

Dmitry S. Vatolin

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Video compression dataset and benchmark of learning-based video-quality metrics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bit-depth enhancement detection for compressed video.

[BibT_eX]

[DOI]

Nickolay Safonov

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Iterative Machine-Learning-Based Method of Selecting Encoder Parameters for Speed-Bitrate Tradeoff.

[BibT_eX]

[DOI]

Alexey Solovyov

Dmitry S. Vatolin

Proceedings of the Data Compression Conference, 2022

Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Method for Enhancing High-Resolution Image Inpainting with Two-Stage Approach.

[BibT_eX]

[DOI]

Andrey Moskalenko

Program. Comput. Softw., 2021

Shot boundary detection method based on a new extensive dataset and mixed features.

[BibT_eX]

[DOI]

Alexander Gushchin

CoRR, 2021

Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Two-Stage High-Resolution Image Inpainting.

[BibT_eX]

[DOI]

Andrey Moskalenko

CoRR, 2021

Machine-Learning-Based Method for Content-Adaptive Video Encoding.

[BibT_eX]

[DOI]

Denis Kondranin

Proceedings of the Picture Coding Symposium, 2021

Power Consumption of Video-Decoders on Various Android Devices.

[BibT_eX]

[DOI]

Roman Kazantsev

Proceedings of the Picture Coding Symposium, 2021

Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics.

[BibT_eX]

[DOI]

Konstantin Kozhemyakov

Proceedings of the Stereoscopic Displays and Applications XXXII, 2021

Video-Decoder Power Consumption on Android Devices: Power-Estimation Method, Dataset Creation, and Analysis Results.

[BibT_eX]

[DOI]

Roman Kazantsev

Vladimir Yanushkovsky

Proceedings of the 31st Data Compression Conference, 2021

Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods.

[BibT_eX]

[DOI]

Proceedings of the AICCC 2021: 4th Artificial Intelligence and Cloud Computing Conference, Kyoto, Japan, December 17, 2021

2020

BSQ-rate: a New Approach for Video-codec Performance Comparison and Drawbacks of Current Solutions.

[BibT_eX]

[DOI]

Anastasia V. Zvezdakova

Program. Comput. Softw., 2020

Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos.

[BibT_eX]

[DOI]

Kirill Malyshev

Proceedings of the International Conference on 3D Immersion, 2020

Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos.

[BibT_eX]

[DOI]

Konstantin Kozhemyakov

Proceedings of the International Conference on 3D Immersion, 2020

Machine-Learning-Based Method for Finding Optimal Video-Codec Configurations Using Physical Input-Video Features.

[BibT_eX]

[DOI]

Roman Kazantsev

Proceedings of the Data Compression Conference, 2020

2019

Toward an objective benchmark for video completion.

[BibT_eX]

[DOI]

Signal Image Video Process., 2019

Perceptually Motivated Method for Image Inpainting Comparison.

[BibT_eX]

[DOI]

CoRR, 2019

Video Distortion Method for VMAF Quality Values Increasing.

[BibT_eX]

[DOI]

CoRR, 2019

Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE.

[BibT_eX]

[DOI]

Denis Kondranin

CoRR, 2019

Predicting video saliency using crowdsourced mouse-tracking data.

[BibT_eX]

[DOI]

Vitaliy Lyudvichenko

CoRR, 2019

Improving Video Compression With Deep Visual-Attention Models.

[BibT_eX]

[DOI]

CoRR, 2019

2018

100+ Times Faster Video Completion by Optical-Flow-Guided Variational Refinement.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Multilayer RGBD-Video Completion for Hole Filling in 3D-View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Immersion, 2018

Accurate Method of Temporal-Shift Estimation for 3D Video.

[BibT_eX]

[DOI]

Aleksandr Ploshkin

Proceedings of the 3DTV Conference: The True Vision, 2018

Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 3DTV Conference: The True Vision, 2018

Local Method of Color-Difference Correction Between Stereoscopic-Video Views.

[BibT_eX]

[DOI]

Vitaliy Lyudvichenko

Proceedings of the 3DTV Conference: The True Vision, 2018

Fast Occlusion Filling Method for Multiview Video Generation.

[BibT_eX]

[DOI]

A. Khatiullin

Proceedings of the 3DTV Conference: The True Vision, 2018

2017

Toward efficient background reconstruction for 3D-view synthesis in dynamic scenes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

A semiautomatic saliency model and its application to video compression.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

The influence of 3D video artifacts on discomfort of 302 viewers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Immersion, 2017

Sharpness Mismatch and 6 Other Stereoscopic Artifacts Measured on 10 Chinese S3D Movies.

[BibT_eX]

[DOI]

Proceedings of the Stereoscopic Displays and Applications XXVIII, Burlingame, CA, USA, January 29, 2017

2016

Multilayer semitransparent-edge processing for depth-image-based rendering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Imaging, 2016

Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Imaging, 2016

Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics.

[BibT_eX]

[DOI]

Vyacheslav Napadovsky

Proceedings of the Stereoscopic Displays and Applications XXVII, 2016

2015

Detection of stuck-to-background objects in converted S3D movies.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on 3D Imaging, 2015

Perceptually Motivated Benchmark for Video Matting.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Semiautomatic visual-attention modeling and its application to video compression.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Automatic detection of artifacts in converted S3D video.

[BibT_eX]

[DOI]

Proceedings of the Stereoscopic Displays and Applications XXV, 2014

2013

3D Video Compression Using Depth Map Propagation.

[BibT_eX]

[DOI]

Sergey Matyunin

Proceedings of the Multimedia Communications, Services and Security, 2013

Methodology for stereoscopic motion-picture quality assessment.

[BibT_eX]

[DOI]

Alexander Voronov

Denis Sumin

Vyacheslav Napadovsky

Alexey Borisov

Proceedings of the Stereoscopic Displays and Applications XXIV, 2013

2011

Temporal Post-processing Method for Automatically Generated Depth Maps.

[BibT_eX]

Sergey Matyunin

Maxim Smirnov

Proceedings of the IMAGAPP & IVAPP 2011, 2011

2009

Double up-conversion of video frame rate based on bidirectional motion compensation.

[BibT_eX]

[DOI]

Sergey Grishin

Program. Comput. Softw., 2009

Edge-Directed Interpolation in a Bayesian Framework.

[BibT_eX]

[DOI]

Karen Simonyan