Dmitriy S. Vatolin

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 60

Top Topics

Quality Metrics

Video Compression

Temporally Coherent

Top Venues

3DTV-Conference

Publications

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Towards adversarial robustness verification of no-reference image- and video-quality metrics. Comput. Vis. Image Underst. 240 (2024)
Aleksandr Gushchin, Anna Chistyakova, Vladislav Minashkin, Anastasia Antsiferova, Dmitriy S. Vatolin
Adversarial purification for no-reference image-quality metrics: applicability study and new methods. CoRR (2024)
Egor Kashkarov, Egor Chistov, Ivan Molodetskikh, Dmitriy S. Vatolin
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution? CoRR (2024)
Kirillov Alexey, Andrey Moskalenko, Dmitriy S. Vatolin
Bridging the Gap Between Saliency Prediction and Image Quality Assessment. CoRR (2024)
Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. AAAI (2024)
Victoria Leonenkova, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics. CoRR (2024)
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics. CoRR (2024)
Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy S. Vatolin
BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. CoRR (2023)
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. Tiny Papers @ ICLR (2023)
Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Unveiling the Limitations of Novel Image Quality Metrics. MMSP (2023)
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. CoRR (2023)
Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Applicability limitations of differentiable full-reference image-quality metrics. DCC (2023)
Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin, Ekaterina Shumitskaya, Maksim Velikanov, Dmitriy S. Vatolin
Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks. CoRR (2023)
Egor Chistov, Nikita Alutis, Maxim Velikanov, Dmitriy S. Vatolin
Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method. CoRR (2023)
Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy S. Vatolin
BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. VCIP (2023)
Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin
Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric. CoRR (2023)
Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Applicability limitations of differentiable full-reference image-quality. CoRR (2022)
Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitriy S. Vatolin
Temporally coherent person matting trained on fake-motion dataset. Digit. Signal Process. 126 (2022)
Eugene Lyapustin, Anastasia Kirillova, Viacheslav Meshchaninov, Evgeney Zimin, Nikolai Karetin, Dmitriy S. Vatolin
Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric. CoRR (2022)
Nickolay Safonov, Dmitriy S. Vatolin
Bit-depth enhancement detection for compressed video. CoRR (2022)
Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov
Video compression dataset and benchmark of learning-based video-quality metrics. NeurIPS (2022)
Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy S. Vatolin
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection. CoRR (2022)
Nickolay Safonov, Dmitriy S. Vatolin
Bit-depth enhancement detection for compressed video. MMSP (2022)
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. CoRR (2022)
Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Alexander Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov
Video compression dataset and benchmark of learning-based video-quality metrics. CoRR (2022)
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. BMVC (2022)
Roman Kazantsev, Dmitriy S. Vatolin
Power Consumption of Video-Decoders on Various Android Devices. PCS (2021)
Maksim Siniukov, Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing. CoRR (2021)
Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin
Method for Enhancing High-Resolution Image Inpainting with Two-Stage Approach. Program. Comput. Softw. 47 (3) (2021)
Alexander Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin
Shot boundary detection method based on a new extensive dataset and mixed features. CoRR (2021)
Sergey Zvezdakov, Denis Kondranin, Dmitriy S. Vatolin
Machine-Learning-Based Method for Content-Adaptive Video Encoding. PCS (2021)
Sergey Lavrushkin, Ivan Molodetskikh, Konstantin Kozhemyakov, Dmitriy S. Vatolin
Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics. SD&A (2021)
Roman Kazantsev, Vladimir Yanushkovsky, Dmitriy S. Vatolin
Video-Decoder Power Consumption on Android Devices: Power-Estimation Method, Dataset Creation, and Analysis Results. DCC (2021)
Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin
Deep Two-Stage High-Resolution Image Inpainting. CoRR (2021)
Maksim Siniukov, Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods. AICCC (2021)
Anastasia Antsiferova, Alexander Yakovenko, Nickolay Safonov, Dmitriy L. Kulikov, Alexander Gushin, Dmitriy S. Vatolin
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation. CoRR (2021)
Roman Kazantsev, Dmitriy S. Vatolin
Power Consumption of Video-Decoders on Various Android Devices. CoRR (2021)
Sergey Lavrushkin, Konstantin Kozhemyakov, Dmitriy S. Vatolin
Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos. IC3D (2020)
Roman Kazantsev, Sergey Zvezdakov, Dmitriy S. Vatolin
Machine-Learning-Based Method for Finding Optimal Video-Codec Configurations Using Physical Input-Video Features. DCC (2020)
Anastasia V. Zvezdakova, Dmitriy L. Kulikov, Sergey V. Zvezdakov, Dmitriy S. Vatolin
BSQ-rate: a New Approach for Video-codec Performance Comparison and Drawbacks of Current Solutions. Program. Comput. Softw. 46 (3) (2020)
Kirill Malyshev, Sergey Lavrushkin, Dmitriy S. Vatolin
Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos. IC3D (2020)
Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin, Sergey V. Zvezdakov
Video Distortion Method for VMAF Quality Values Increasing. CoRR (2019)
Alexander Bokov, Dmitriy S. Vatolin, Mikhail Erofeev, Yury Gitman
Toward an objective benchmark for video completion. Signal Image Video Process. 13 (3) (2019)
Vitaliy Lyudvichenko, Mikhail Erofeev, Alexander Ploshkin, Dmitriy S. Vatolin
Improving Video Compression With Deep Visual-Attention Models. CoRR (2019)
Anastasia Antsiferova, Dmitriy L. Kulikov, Denis Kondranin, Dmitriy S. Vatolin
Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE. CoRR (2019)
Vitaliy Lyudvichenko, Dmitriy S. Vatolin
Predicting video saliency using crowdsourced mouse-tracking data. CoRR (2019)
Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin
Perceptually Motivated Method for Image Inpainting Comparison. CoRR (2019)
Alexander Bokov, Dmitriy S. Vatolin
Multilayer RGBD-Video Completion for Hole Filling in 3D-View Synthesis. IC3D (2018)
Sergey Lavrushkin, Dmitriy S. Vatolin
Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network. 3DTV-Conference (2018)
Aleksandr Ploshkin, Dmitriy S. Vatolin
Accurate Method of Temporal-Shift Estimation for 3D Video. 3DTV-Conference (2018)
Sergey Lavrushkin, Vitaliy Lyudvichenko, Dmitriy S. Vatolin
Local Method of Color-Difference Correction Between Stereoscopic-Video Views. 3DTV-Conference (2018)
Alexander Bokov, Dmitriy S. Vatolin
100+ Times Faster Video Completion by Optical-Flow-Guided Variational Refinement. ICIP (2018)
A. Khatiullin, Mikhail Erofeev, Dmitriy S. Vatolin
Fast Occlusion Filling Method for Multiview Video Generation. 3DTV-Conference (2018)
Anastasia Antsiferova, Dmitriy S. Vatolin
The influence of 3D video artifacts on discomfort of 302 viewers. IC3D (2017)
Vitaliy Lyudvichenko, Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin
A semiautomatic saliency model and its application to video compression. ICCP (2017)
Dmitriy S. Vatolin, Alexander Bokov
Sharpness Mismatch and 6 Other Stereoscopic Artifacts Measured on 10 Chinese S3D Movies. SD&A (2017)
Alexander Bokov, Dmitriy S. Vatolin
Toward efficient background reconstruction for 3D-view synthesis in dynamic scenes. ICME Workshops (2017)
Mikhail Erofeev, Dmitriy S. Vatolin
Multilayer semitransparent-edge processing for depth-image-based rendering. IC3D (2016)
Alexander Bokov, Sergey Lavrushkin, Mikhail Erofeev, Dmitriy S. Vatolin, Alexey Fedorov
Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video. IC3D (2016)
Dmitriy S. Vatolin, Alexander Bokov, Mikhail Erofeev, Vyacheslav Napadovsky
Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics. SD&A (2016)
Stanislav Dolganov, Mikhail Erofeev, Dmitriy S. Vatolin, Yury Gitman
Detection of stuck-to-background objects in converted S3D movies. IC3D (2015)
Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin, Alexey Fedorov, Jue Wang
Perceptually Motivated Benchmark for Video Matting. BMVC (2015)
Alexander Bokov, Dmitriy S. Vatolin, Anton Zachesov, Alexander Belous, Mikhail Erofeev
Automatic detection of artifacts in converted S3D video. SD&A (2014)
Yury Gitman, Mikhail Erofeev, Dmitriy S. Vatolin, Bolshakov Andrey, Alexey Fedorov
Semiautomatic visual-attention modeling and its application to video compression. ICIP (2014)
Sergey Matyunin, Dmitriy S. Vatolin
3D Video Compression Using Depth Map Propagation. MCSS (2013)
Alexander Voronov, Dmitriy S. Vatolin, Denis Sumin, Vyacheslav Napadovsky, Alexey Borisov
Methodology for stereoscopic motion-picture quality assessment. SD&A (2013)
Sergey Matyunin, Dmitriy S. Vatolin, Maxim Smirnov
Temporal Post-processing Method for Automatically Generated Depth Maps. IMAGAPP/IVAPP (2011)
Karen Simonyan, Dmitriy S. Vatolin
Edge-Directed Interpolation in a Bayesian Framework. BMVC (2009)
Dmitriy S. Vatolin, Sergey Grishin
Double up-conversion of video frame rate based on bidirectional motion compensation. Program. Comput. Softw. 35 (6) (2009)
Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov
Fast video super-resolution via classification. ICIP (2008)
Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov
Video super-resolution using motion compensation and classification-aided fusion. SCCG (2008)