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Dmitriy S. Vatolin
Dmitry S. Vatolin
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2020 – today
- 2024
- [j6]Ekaterina Shumitskaya
, Anastasia Antsiferova, Dmitriy S. Vatolin:
Towards adversarial robustness verification of no-reference image- and video-quality metrics. Comput. Vis. Image Underst. 240: 103913 (2024) - [c43]Anastasia Antsiferova, Khaled Abud
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. AAAI 2024: 700-708 - [c42]Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics. ICML 2024 - [c41]Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh, Malakhov Kirill, Sagitov Artur, Dmitriy S. Vatolin:
Machine Vision-Aware Quality Metrics for Compressed Image and Video Assessment. ICPR (23) 2024: 266-282 - [i31]Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics. CoRR abs/2403.05955 (2024) - [i30]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 abs/2404.06957 (2024) - [i29]Victoria Leonenkova, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics. CoRR abs/2404.09961 (2024) - [i28]Kirillov Alexey, Andrey Moskalenko, Dmitriy S. Vatolin:
Bridging the Gap Between Saliency Prediction and Image Quality Assessment. CoRR abs/2405.04997 (2024) - [i27]Egor Kashkarov, Egor Chistov, Ivan Molodetskikh, Dmitriy S. Vatolin:
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution? CoRR abs/2405.20392 (2024) - [i26]Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu:
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. CoRR abs/2408.11982 (2024) - [i25]Andrey Moskalenko, Alexey Bryncev, Dmitriy S. Vatolin, Radu Timofte, Gen Zhan, Li Yang, Yunlong Tang, Yiting Liao, Jiongzhi Lin, Baitao Huang, Morteza Moradi, Mohammad Moradi, Francesco Rundo, Concetto Spampinato, Ali Borji, Simone Palazzo, Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai, Hao Fang, Runmin Cong, Xiankai Lu, Xiaofei Zhou, Wei Zhang, Chunyu Zhao, Wentao Mu, Tao Deng, Hamed R. Tavakoli:
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. CoRR abs/2409.14827 (2024) - [i24]Ivan Molodetskikh, Artem Borisov, Dmitriy S. Vatolin, Radu Timofte, Jianzhao Liu, Tianwu Zhi, Yabin Zhang, Yang Li, Jingwen Xu, Yiting Liao, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Weihua Luo, Yupeng Z., Hong Y:
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. CoRR abs/2410.04225 (2024) - 2023
- [c40]Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Applicability limitations of differentiable full-reference image-quality metrics. DCC 2023: 1 - [c39]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 - [c38]Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin:
Unveiling the Limitations of Novel Image Quality Metrics. MMSP 2023: 1-6 - [c37]Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy S. Vatolin:
BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. VCIP 2023: 1-5 - [i23]Egor Chistov, Nikita Alutis, Maxim Velikanov, Dmitriy S. Vatolin:
Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method. CoRR abs/2303.06657 (2023) - [i22]Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin:
Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric. CoRR abs/2305.04844 (2023) - [i21]Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. CoRR abs/2305.15544 (2023) - [i20]Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy S. Vatolin:
BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. CoRR abs/2305.17477 (2023) - [i19]Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin
Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks. CoRR abs/2310.06958 (2023) - 2022
- [j5]Ivan Molodetskikh
Temporally coherent person matting trained on fake-motion dataset. Digit. Signal Process. 126: 103521 (2022) - [c36]Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. BMVC 2022: 790 - [c35]Sergey Zvezdakov, Alexey Solovyov, Dmitry S. Vatolin
Iterative Machine-Learning-Based Method of Selecting Encoder Parameters for Speed-Bitrate Tradeoff. DCC 2022: 1 - [c34]Nickolay Safonov, Dmitriy S. Vatolin
Bit-depth enhancement detection for compressed video. MMSP 2022: 1-6 - [c33]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 - [c32]Anastasia Kirillova, Eugene Lyapustin
ERQA: Edge-restoration Quality Assessment for Video Super-Resolution. VISIGRAPP (4: VISAPP) 2022: 315-322 - [i18]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 abs/2203.08923 (2022) - [i17]Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy S. Vatolin:
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection. CoRR abs/2205.10406 (2022) - [i16]Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. CoRR abs/2211.00366 (2022) - [i15]Nickolay Safonov, Dmitriy S. Vatolin:
Bit-depth enhancement detection for compressed video. CoRR abs/2211.04799 (2022) - [i14]Anastasia Antsiferova, Sergey Lavrushkin
Video compression dataset and benchmark of learning-based video-quality metrics. CoRR abs/2211.12109 (2022) - [i13]Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin:
Applicability limitations of differentiable full-reference image-quality. CoRR abs/2212.05499 (2022) - 2021
- [j4]Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin
Method for Enhancing High-Resolution Image Inpainting with Two-Stage Approach. Program. Comput. Softw. 47(3): 201-206 (2021) - [c31]Maksim Siniukov
Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods. AICCC 2021: 89-96 - [c30]Roman Kazantsev, Vladimir Yanushkovsky, Dmitriy S. Vatolin
Video-Decoder Power Consumption on Android Devices: Power-Estimation Method, Dataset Creation, and Analysis Results. DCC 2021: 347 - [c29]Sergey Lavrushkin
Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics. SD&A 2021: 1-7 - [c28]Roman Kazantsev, Dmitriy S. Vatolin
Power Consumption of Video-Decoders on Various Android Devices. PCS 2021: 1-5 - [c27]Sergey Zvezdakov, Denis Kondranin, Dmitriy S. Vatolin
Machine-Learning-Based Method for Content-Adaptive Video Encoding. PCS 2021: 1-5 - [i12]Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin:
Deep Two-Stage High-Resolution Image Inpainting. CoRR abs/2104.13464 (2021) - [i11]Maksim Siniukov, Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing. CoRR abs/2107.04510 (2021) - [i10]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 abs/2107.10220 (2021) - [i9]Alexander Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin
Shot boundary detection method based on a new extensive dataset and mixed features. CoRR abs/2109.01057 (2021) - [i8]Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitry S. Vatolin:
Temporally Coherent Person Matting Trained on Fake-Motion Dataset. CoRR abs/2109.04843 (2021) - [i7]Roman Kazantsev, Dmitriy S. Vatolin:
Power Consumption of Video-Decoders on Various Android Devices. CoRR abs/2110.06529 (2021) - [i6]Anastasia Kirillova, Eugene Lyapustin, Anastasia Antsiferova, Dmitry S. Vatolin:
ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution. CoRR abs/2110.09992 (2021) - 2020
- [j3]Anastasia V. Zvezdakova, Dmitriy L. Kulikov, Sergey Zvezdakov, Dmitriy S. Vatolin
BSQ-rate: a New Approach for Video-codec Performance Comparison and Drawbacks of Current Solutions. Program. Comput. Softw. 46(3): 183-194 (2020) - [c26]Roman Kazantsev, Sergey Zvezdakov, Dmitriy S. Vatolin
Machine-Learning-Based Method for Finding Optimal Video-Codec Configurations Using Physical Input-Video Features. DCC 2020: 374 - [c25]Sergey Lavrushkin
Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos. IC3D 2020: 1-8 - [c24]Kirill Malyshev, Sergey Lavrushkin
Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos. IC3D 2020: 1-7
2010 – 2019
- 2019
- [j2]Alexander Bokov
Toward an objective benchmark for video completion. Signal Image Video Process. 13(3): 601-608 (2019) - [i5]Vitaliy Lyudvichenko, Mikhail Erofeev, Alexander Ploshkin, Dmitriy S. Vatolin:
Improving Video Compression With Deep Visual-Attention Models. CoRR abs/1903.07912 (2019) - [i4]Vitaliy Lyudvichenko, Dmitriy S. Vatolin:
Predicting video saliency using crowdsourced mouse-tracking data. CoRR abs/1907.00480 (2019) - [i3]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 abs/1907.03842 (2019) - [i2]Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin
Video Distortion Method for VMAF Quality Values Increasing. CoRR abs/1907.04807 (2019) - [i1]Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin:
Perceptually Motivated Method for Image Inpainting Comparison. CoRR abs/1907.06296 (2019) - 2018
- [c23]A. Khatiullin, Mikhail Erofeev
Fast Occlusion Filling Method for Multiview Video Generation. 3DTV-Conference 2018: 1-4 - [c22]Sergey Lavrushkin
Local Method of Color-Difference Correction Between Stereoscopic-Video Views. 3DTV-Conference 2018: 1-4 - [c21]Sergey Lavrushkin
Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network. 3DTV-Conference 2018: 1-4 - [c20]Aleksandr Ploshkin, Dmitriy S. Vatolin
Accurate Method of Temporal-Shift Estimation for 3D Video. 3DTV-Conference 2018: 1-4 - [c19]Alexander Bokov, Dmitriy S. Vatolin
Multilayer RGBD-Video Completion for Hole Filling in 3D-View Synthesis. IC3D 2018: 1-8 - [c18]Alexander Bokov, Dmitriy S. Vatolin
100+ Times Faster Video Completion by Optical-Flow-Guided Variational Refinement. ICIP 2018: 2122-2126 - 2017
- [c17]Dmitriy S. Vatolin
Sharpness Mismatch and 6 Other Stereoscopic Artifacts Measured on 10 Chinese S3D Movies. SD&A 2017: 137-144 - [c16]Anastasia Antsiferova, Dmitriy S. Vatolin
The influence of 3D video artifacts on discomfort of 302 viewers. IC3D 2017: 1-8 - [c15]Vitaliy Lyudvichenko, Mikhail Erofeev
A semiautomatic saliency model and its application to video compression. ICCP 2017: 403-410 - [c14]Alexander Bokov, Dmitriy S. Vatolin
Toward efficient background reconstruction for 3D-view synthesis in dynamic scenes. ICME Workshops 2017: 37-42 - 2016
- [c13]Dmitriy S. Vatolin
Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics. SD&A 2016: 1-10 - [c12]Alexander Bokov, Sergey Lavrushkin
Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video. IC3D 2016: 1-7 - [c11]Mikhail Erofeev
Multilayer semitransparent-edge processing for depth-image-based rendering. IC3D 2016: 1-7 - 2015
- [c10]Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin
Perceptually Motivated Benchmark for Video Matting. BMVC 2015: 99.1-99.12 - [c9]Stanislav Dolganov, Mikhail Erofeev
Detection of stuck-to-background objects in converted S3D movies. IC3D 2015: 1-6 - 2014
- [c8]Alexander Bokov, Dmitriy S. Vatolin
Automatic detection of artifacts in converted S3D video. SD&A 2014: 901112 - [c7]Yury Gitman, Mikhail Erofeev
Semiautomatic visual-attention modeling and its application to video compression. ICIP 2014: 1105-1109 - 2013
- [c6]Alexander Voronov, Dmitriy S. Vatolin
Methodology for stereoscopic motion-picture quality assessment. SD&A 2013: 864810 - [c5]Sergey Matyunin, Dmitriy S. Vatolin
3D Video Compression Using Depth Map Propagation. MCSS 2013: 153-166 - 2011
- [c4]Sergey Matyunin, Dmitriy S. Vatolin, Maxim Smirnov:
Temporal Post-processing Method for Automatically Generated Depth Maps. IMAGAPP/IVAPP 2011: 33-38
2000 – 2009
- 2009
- [j1]Dmitriy S. Vatolin
Double up-conversion of video frame rate based on bidirectional motion compensation. Program. Comput. Softw. 35(6): 351-364 (2009) - [c3]Karen Simonyan, Dmitriy S. Vatolin
Edge-Directed Interpolation in a Bayesian Framework. BMVC 2009: 1-10 - 2008
- [c2]Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin
Fast video super-resolution via classification. ICIP 2008: 349-352 - [c1]Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin
Video super-resolution using motion compensation and classification-aided fusion. SCCG 2008: 143-148
Coauthor Index
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last updated on 2024-12-13 19:10 CET by the dblp team
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