Fast video super-resolution via classification. - Karen Simonyan; Sergey Grishin; Dmitriy S. Vatolin; Dmitriy Popov (ICIP, 2008)

Video super-resolution using motion compensation and classification-aided fusion. - Karen Simonyan; Sergey Grishin; Dmitriy S. Vatolin; Dmitriy Popov (SCCG, 2008)

Edge-Directed Interpolation in a Bayesian Framework. - Karen Simonyan; Dmitriy S. Vatolin (BMVC, 2009)

Double up-conversion of video frame rate based on bidirectional motion compensation. - Dmitriy S. Vatolin; Sergey Grishin (Program. Comput. Softw., 2009)

Temporal Post-processing Method for Automatically Generated Depth Maps. - Sergey Matyunin; Dmitriy S. Vatolin; Maxim Smirnov (IMAGAPP/IVAPP, 2011)

Methodology for stereoscopic motion-picture quality assessment. - Alexander Voronov; Dmitriy S. Vatolin; Denis Sumin; Vyacheslav Napadovsky; Alexey Borisov (SD&A, 2013)

3D Video Compression Using Depth Map Propagation. - Sergey Matyunin; Dmitriy S. Vatolin (MCSS, 2013)

Automatic detection of artifacts in converted S3D video. - Alexander Bokov; Dmitriy S. Vatolin; Anton Zachesov; Alexander Belous; Mikhail Erofeev (SD&A, 2014)

Semiautomatic visual-attention modeling and its application to video compression. - Yury Gitman; Mikhail Erofeev; Dmitriy S. Vatolin; Bolshakov Andrey; Alexey Fedorov (ICIP, 2014)

Perceptually Motivated Benchmark for Video Matting. - Mikhail Erofeev; Yury Gitman; Dmitriy S. Vatolin; Alexey Fedorov; Jue Wang (BMVC, 2015)

Detection of stuck-to-background objects in converted S3D movies. - Stanislav Dolganov; Mikhail Erofeev; Dmitriy S. Vatolin; Yury Gitman (IC3D, 2015)

Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics. - Dmitriy S. Vatolin; Alexander Bokov; Mikhail Erofeev; Vyacheslav Napadovsky (SD&A, 2016)

Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video. - Alexander Bokov; Sergey Lavrushkin; Mikhail Erofeev; Dmitriy S. Vatolin; Alexey Fedorov (IC3D, 2016)

Multilayer semitransparent-edge processing for depth-image-based rendering. - Mikhail Erofeev; Dmitriy S. Vatolin (IC3D, 2016)

Sharpness Mismatch and 6 Other Stereoscopic Artifacts Measured on 10 Chinese S3D Movies. - Dmitriy S. Vatolin; Alexander Bokov (SD&A, 2017)

The influence of 3D video artifacts on discomfort of 302 viewers. - Anastasia Antsiferova; Dmitriy S. Vatolin (IC3D, 2017)

A semiautomatic saliency model and its application to video compression. - Vitaliy Lyudvichenko; Mikhail Erofeev; Yury Gitman; Dmitriy S. Vatolin (ICCP, 2017)

Toward efficient background reconstruction for 3D-view synthesis in dynamic scenes. - Alexander Bokov; Dmitriy S. Vatolin (ICME Workshops, 2017)

Fast Occlusion Filling Method for Multiview Video Generation. - A. Khatiullin; Mikhail Erofeev; Dmitriy S. Vatolin (3DTV-Conference, 2018)

Local Method of Color-Difference Correction Between Stereoscopic-Video Views. - Sergey Lavrushkin; Vitaliy Lyudvichenko; Dmitriy S. Vatolin (3DTV-Conference, 2018)

Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network. - Sergey Lavrushkin; Dmitriy S. Vatolin (3DTV-Conference, 2018)

Accurate Method of Temporal-Shift Estimation for 3D Video. - Aleksandr Ploshkin; Dmitriy S. Vatolin (3DTV-Conference, 2018)

Multilayer RGBD-Video Completion for Hole Filling in 3D-View Synthesis. - Alexander Bokov; Dmitriy S. Vatolin (IC3D, 2018)

100+ Times Faster Video Completion by Optical-Flow-Guided Variational Refinement. - Alexander Bokov; Dmitriy S. Vatolin (ICIP, 2018)

Improving Video Compression With Deep Visual-Attention Models. - Vitaliy Lyudvichenko; Mikhail Erofeev; Alexander Ploshkin; Dmitriy S. Vatolin (CoRR, 2019)

Predicting video saliency using crowdsourced mouse-tracking data. - Vitaliy Lyudvichenko; Dmitriy S. Vatolin (CoRR, 2019)

Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE. - Anastasia Antsiferova; Dmitriy L. Kulikov; Denis Kondranin; Dmitriy S. Vatolin (CoRR, 2019)

Video Distortion Method for VMAF Quality Values Increasing. - Anastasia Antsiferova; Dmitriy L. Kulikov; Dmitriy S. Vatolin; Sergey Zvezdakov (CoRR, 2019)

Perceptually Motivated Method for Image Inpainting Comparison. - Ivan Molodetskikh; Mikhail Erofeev; Dmitriy S. Vatolin (CoRR, 2019)

Toward an objective benchmark for video completion. - Alexander Bokov; Dmitriy S. Vatolin; Mikhail Erofeev; Yury Gitman (Signal Image Video Process., 2019)

Machine-Learning-Based Method for Finding Optimal Video-Codec Configurations Using Physical Input-Video Features. - Roman Kazantsev; Sergey Zvezdakov; Dmitriy S. Vatolin (DCC, 2020)

Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos. - Sergey Lavrushkin; Konstantin Kozhemyakov; Dmitriy S. Vatolin (IC3D, 2020)

Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos. - Kirill Malyshev; Sergey Lavrushkin; Dmitriy S. Vatolin (IC3D, 2020)

BSQ-rate: a New Approach for Video-codec Performance Comparison and Drawbacks of Current Solutions. - Anastasia V. Zvezdakova; Dmitriy L. Kulikov; Sergey Zvezdakov; Dmitriy S. Vatolin (Program. Comput. Softw., 2020)

Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods. - Maksim Siniukov; Anastasia Antsiferova; Dmitriy L. Kulikov; Dmitriy S. Vatolin (AICCC, 2021)

Video-Decoder Power Consumption on Android Devices: Power-Estimation Method, Dataset Creation, and Analysis Results. - Roman Kazantsev; Vladimir Yanushkovsky; Dmitriy S. Vatolin (DCC, 2021)

Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics. - Sergey Lavrushkin; Ivan Molodetskikh; Konstantin Kozhemyakov; Dmitriy S. Vatolin (SD&A, 2021)

Power Consumption of Video-Decoders on Various Android Devices. - Roman Kazantsev; Dmitriy S. Vatolin (PCS, 2021)

Machine-Learning-Based Method for Content-Adaptive Video Encoding. - Sergey Zvezdakov; Denis Kondranin; Dmitriy S. Vatolin (PCS, 2021)

Deep Two-Stage High-Resolution Image Inpainting. - Andrey Moskalenko; Mikhail Erofeev; Dmitriy S. Vatolin (CoRR, 2021)

Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing. - Maksim Siniukov; Anastasia Antsiferova; Dmitriy L. Kulikov; Dmitriy S. Vatolin (CoRR, 2021)

Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation. - Anastasia Antsiferova; Alexander Yakovenko; Nickolay Safonov; Dmitriy L. Kulikov; Alexander Gushin; Dmitriy S. Vatolin (CoRR, 2021)

Shot boundary detection method based on a new extensive dataset and mixed features. - Alexander Gushchin; Anastasia Antsiferova; Dmitriy S. Vatolin (CoRR, 2021)

Method for Enhancing High-Resolution Image Inpainting with Two-Stage Approach. - Andrey Moskalenko; Mikhail Erofeev; Dmitriy S. Vatolin (Program. Comput. Softw., 2021)

Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. - Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy S. Vatolin (BMVC, 2022)

Iterative Machine-Learning-Based Method of Selecting Encoder Parameters for Speed-Bitrate Tradeoff. - Sergey Zvezdakov; Alexey Solovyov; Dmitry S. Vatolin (DCC, 2022)

Bit-depth enhancement detection for compressed video. - Nickolay Safonov; Dmitriy S. Vatolin (MMSP, 2022)

Video compression dataset and benchmark of learning-based video-quality metrics. - Anastasia Antsiferova; Sergey Lavrushkin; Maksim Smirnov; Aleksandr Gushchin; Dmitriy S. Vatolin; Dmitriy L. Kulikov (NeurIPS, 2022)

ERQA: Edge-restoration Quality Assessment for Video Super-Resolution. - Anastasia Kirillova; Eugene Lyapustin; Anastasia Antsiferova; Dmitry S. Vatolin (VISIGRAPP (4: VISAPP), 2022)

Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric. - Eugene Lyapustin; Anastasia Kirillova; Viacheslav Meshchaninov; Evgeney Zimin; Nikolai Karetin; Dmitriy S. Vatolin (CoRR, 2022)

Combining Contrastive and Supervised Learning for Video Super-Resolution Detection. - Viacheslav Meshchaninov; Ivan Molodetskikh; Dmitriy S. Vatolin (CoRR, 2022)

Video compression dataset and benchmark of learning-based video-quality metrics. - Anastasia Antsiferova; Sergey Lavrushkin; Maksim Smirnov; Alexander Gushchin; Dmitriy S. Vatolin; Dmitriy L. Kulikov (CoRR, 2022)

Applicability limitations of differentiable full-reference image-quality. - Maksim Siniukov; Dmitriy L. Kulikov; Dmitriy S. Vatolin (CoRR, 2022)

Temporally coherent person matting trained on fake-motion dataset. - Ivan Molodetskikh; Mikhail Erofeev; Andrey Moskalenko; Dmitriy S. Vatolin (Digit. Signal Process., 2022)

Applicability limitations of differentiable full-reference image-quality metrics. - Maksim Siniukov; Dmitriy L. Kulikov; Dmitriy S. Vatolin (DCC, 2023)

Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. - Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy S. Vatolin (Tiny Papers @ ICLR, 2023)

Unveiling the Limitations of Novel Image Quality Metrics. - Maksim Siniukov; Dmitriy L. Kulikov; Dmitriy S. Vatolin (MMSP, 2023)

BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. - Nikita Alutis; Egor Chistov; Mikhail Dremin; Dmitriy S. Vatolin (VCIP, 2023)

Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method. - Egor Chistov; Nikita Alutis; Maxim Velikanov; Dmitriy S. Vatolin (CoRR, 2023)

Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric. - Evgeney Bogatyrev; Ivan Molodetskikh; Dmitriy S. Vatolin (CoRR, 2023)

Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks. - Anastasia Antsiferova; Khaled Abud; Aleksandr Gushchin; Sergey Lavrushkin; Ekaterina Shumitskaya; Maksim Velikanov; Dmitriy S. Vatolin (CoRR, 2023)

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. - Anastasia Antsiferova; Khaled Abud; Aleksandr Gushchin; Ekaterina Shumitskaya; Sergey Lavrushkin; Dmitriy S. Vatolin (AAAI, 2024)

SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction. - Evgeney Bogatyrev; Ivan Molodetskikh; Dmitriy S. Vatolin (BMVC, 2024)

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. - Ivan Molodetskikh; Artem Borisov; Dmitriy S. Vatolin; Radu Timofte; Jianzhao Liu; Tianwu Zhi; Yabin Zhang 002; Yang Li 189; Jingwen Xu; Yiting Liao; Qing Luo; Ao-Xiang Zhang; et al. (ECCV Workshops (10), 2024)

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. - Andrey Moskalenko; Alexey Bryncev; Dmitry S. Vatolin; Radu Timofte; Gen Zhan; Li Yang; Yunlong Tang 002; Yiting Liao; Jiongzhi Lin; Baitao Huang; Morteza Moradi 001; Mohammad Moradi 001; et al. (ECCV Workshops (10), 2024)

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. - Maksim Smirnov; Aleksandr Gushchin; Anastasia Antsiferova; Dmitriy S. Vatolin; Radu Timofte; Ziheng Jia; Zicheng Zhang; Wei Sun 029; Jiaying Qian; Yuqin Cao; Yinan Sun; Yuxin Zhu; et al. (ECCV Workshops (10), 2024)

Image Robustness to Adversarial Attacks on No-Reference Image-Quality Metrics. - Daniil Konstantinov; Sergey Lavrushkin; Dmitriy S. Vatolin (EUSIPCO, 2024)

A New HDR Video Reconstruction Benchmark, Dataset and Metric. - Mikhail Voronin; Nickolay Safonov; Dmitriy S. Vatolin (ICDSP, 2024)

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics. - Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy S. Vatolin (ICML, 2024)

Machine Vision-Aware Quality Metrics for Compressed Image and Video Assessment. - Mikhail Dremin; Konstantin Kozhemyakov; Ivan Molodetskikh; Malakhov Kirill; Sagitov Artur; Dmitriy S. Vatolin (ICPR (23), 2024)

Multi-Screen Effects on Quality Assessment: Investigating Banding Metrics Inconsistencies. - Nickolay Safonov; Dmitriy L. Kulikov; Dmitriy S. Vatolin (VCIP, 2024)

Adversarial purification for no-reference image-quality metrics: applicability study and new methods. - Aleksandr Gushchin; Anna Chistyakova; Vladislav Minashkin; Anastasia Antsiferova; Dmitriy S. Vatolin (CoRR, 2024)

Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics. - Victoria Leonenkova; Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy S. Vatolin (CoRR, 2024)

Bridging the Gap Between Saliency Prediction and Image Quality Assessment. - Kirillov Alexey; Andrey Moskalenko; Dmitriy S. Vatolin (CoRR, 2024)

Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution? - Egor Kashkarov; Egor Chistov; Ivan Molodetskikh; Dmitriy S. Vatolin (CoRR, 2024)

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. - Alexander Gushchin; Khaled Abud; Georgii Bychkov; Ekaterina Shumitskaya; Anna Chistyakova; Sergey Lavrushkin; Bader Rasheed; Kirill Malyshev; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2024)

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. - Ivan Molodetskikh; Artem Borisov; Dmitriy S. Vatolin; Radu Timofte; Jianzhao Liu; Tianwu Zhi; Yabin Zhang 002; Yang Li 189; Jingwen Xu; Yiting Liao; Qing Luo; Ao-Xiang Zhang; et al. (CoRR, 2024)

Machine vision-aware quality metrics for compressed image and video assessment. - Mikhail Dremin; Konstantin Kozhemyakov; Ivan Molodetskikh; Malakhov Kirill; Artur Sagitov; Dmitriy S. Vatolin (CoRR, 2024)

JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset. - Daria Tsereh; Mark Mirgaleev; Ivan Molodetskikh; Roman Kazantsev; Dmitriy S. Vatolin (CoRR, 2024)

Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods. - Egor Kovalev; Georgii Bychkov; Khaled Abud; Aleksandr Gushchin; Anna Chistyakova; Sergey Lavrushkin; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2024)

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models. - Khaled Abud; Sergey Lavrushkin; Alexey Kirillov; Dmitriy S. Vatolin (CoRR, 2024)

Towards adversarial robustness verification of no-reference image- and video-quality metrics. - Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy S. Vatolin (Comput. Vis. Image Underst., 2024)

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results. - Nickolay Safonov; Alexey Bryntsev; Andrey Moskalenko; Dmitry Kulikov; Dmitriy S. Vatolin; Radu Timofte; Haibo Lei; Qifan Gao; Qing Luo; Yaqing Li; Jie Song; Shaozhe Hao; et al. (CVPR Workshops, 2025)

Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics. - Georgii Gotin; Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy S. Vatolin (VISIGRAPP (3): VISAPP, 2025)

Stochastic BIQA: Median randomized smoothing for certified blind image quality assessment. - Ekaterina Shumitskaya; Mikhail Pautov; Dmitriy S. Vatolin; Anastasia Antsiferova (Comput. Vis. Image Underst., 2025)

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results. - Nikolay Safonov; Alexey Bryncev; Andrey Moskalenko; Dmitry Kulikov; Dmitriy S. Vatolin; Radu Timofte; Haibo Lei; Qifan Gao; Qing Luo; Yaqing Li; Jie Song; Shaozhe Hao; et al. (CoRR, 2025)

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations. - Igor Meleshin; Anna Chistyakova; Anastasia Antsiferova; Dmitriy S. Vatolin (CoRR, 2025)

NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis. - Georgii Bychkov; Khaled Abud; Egor Kovalev; Alexander Gushchin; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2025)

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation. - Vladislav Bargatin; Egor Chistov; Alexander Yakovenko; Dmitriy S. Vatolin (CoRR, 2025)

Stable VMAF: investigating VMAF's vulnerabilities to adversarial attacks. - Sergey Lavrushkin; Maksim Khrebtov; Anastasia Antsiferova; Georgii Bychkov; Alexey Soloviev; Dmitriy S. Vatolin (Multim. Syst., 2025)

LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts. - Aleksandr Gushchin; Maksim Smirnov; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2025)

FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment. - Ekaterina Shumitskaya; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2025)