Dmitriy S. Vatolin

111 papers A* 7A 5B 7C 6Journal 56Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BiRQA: Bidirectional Robust Quality Assessment for Images. CoRR Aleksandr Gushchin, Dmitriy S. Vatolin, Anastasia Antsiferova
2026	J	`jnl`	From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera. CoRR Victoria Leonenkova, Ekaterina Shumitskaya, Dmitriy S. Vatolin, Anastasia Antsiferova
2026	J	`jnl`	Improving Transferability of Adversarial Attacks via Maximization and Targeting from Image to Video Quality Assessment. Big Data Cogn. Comput. Georgii Gotin, Ekaterina Shumitskaya, Dmitriy S. Vatolin, Anastasia Antsiferova
2026	J	`jnl`	TIQA: Human-Aligned Text Quality Assessment in Generated Images. CoRR Kirill Koltsov, Aleksandr Gushchin, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	A	`conf`	Black-box Universal Adversarial Perturbations for Image and Video Quality Assessment Methods. ICME Georgii Bychkov, Sergey Lavrushkin, Dmitriy S. Vatolin
2025	—	`conf`	Bridging the Gap Between Saliency Prediction and Image Quality Assessment. EUSIPCO Kirillov Alexey, Andrey Moskalenko, Dmitriy S. Vatolin
2025	—	`conf`	Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics. VISIGRAPP (3): VISAPP Georgii Gotin, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2025	J	`jnl`	Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics. CoRR Georgii Gotin, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2025	J	`jnl`	Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack. Big Data Cogn. Comput. Khaled Abud, Sergey Lavrushkin, Dmitriy S. Vatolin
2025	J	`jnl`	FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment. CoRR Ekaterina Shumitskaya, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	A*	`conf`	Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. ICML Aleksandr Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	A*	`conf`	LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts. ACM Multimedia Aleksandr Gushchin, Maksim Smirnov, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	J	`jnl`	LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts. CoRR Aleksandr Gushchin, Maksim Smirnov, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	J	`jnl`	MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation. CoRR Vladislav Bargatin, Egor Chistov, Alexander Yakovenko, Dmitriy S. Vatolin
2025	J	`jnl`	NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis. CoRR Georgii Bychkov, Khaled Abud, Egor Kovalev, Alexander Gushchin, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	—	`conf`	NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results. CVPR Workshops 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, Meisong Zheng, Jingyi Xu, Chengbin Wu, Jiahui Liu, Ying Chen, Xin Deng, Mai Xu, Peipei Liang, Jie Ma, Junjie Jin, Yingxue Pang, Fangzhou Luo, Kai Chen, Shijie Zhao, Mingyang Wu, Renjie Li, Yushen Zuo, Zhengzhong Tu, Shengyun Zhong
2025	J	`jnl`	NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results. CoRR Nickolay Safonov, Alexey Bryncev, Andrey Moskalenko, Dmitry Kulikov, Dmitriy S. Vatolin, Radu Timofte, Haibo Lei, Qifan Gao, Qing Luo, Yaqing Li, Jie Song, Shaozhe Hao, Meisong Zheng, Jingyi Xu, Chengbin Wu, Jiahui Liu, Ying Chen, Xin Deng, Mai Xu, Peipei Liang, Jie Ma, Junjie Jin, Yingxue Pang, Fangzhou Luo, Kai Chen, Shijie Zhao, Mingyang Wu, Renjie Li, Yushen Zuo, Shengyun Zhong, Zhengzhong Tu
2025	J	`jnl`	Prominence-Aware Artifact Detection and Dataset for Image Super-Resolution. CoRR Ivan Molodetskikh, Kirill Malyshev, Mark Mirgaleev, Nikita Zagainov, Evgeney Bogatyrev, Dmitriy S. Vatolin
2025	A*	`conf`	Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations. ACM Multimedia Igor N. Meleshin, Anna Chistyakova, Anastasia Antsiferova, Dmitriy S. Vatolin
2025	J	`jnl`	Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations. CoRR Igor N. Meleshin, Anna Chistyakova, Anastasia Antsiferova, Dmitriy S. Vatolin
2025	A*	`conf`	Screen Content Video Dataset and Benchmark. ACM Multimedia Nickolay Safonov, Rakhmanov Mikhail, Dmitriy S. Vatolin
2025	J	`jnl`	Stable VMAF: investigating VMAF's vulnerabilities to adversarial attacks. Multim. Syst. Sergey Lavrushkin, Maksim Khrebtov, Anastasia Antsiferova, Georgii Bychkov, Alexey Soloviev, Dmitriy S. Vatolin
2025	J	`jnl`	Stochastic BIQA: Median randomized smoothing for certified blind image quality assessment. Comput. Vis. Image Underst. Ekaterina Shumitskaya, Mikhail Pautov, Dmitriy S. Vatolin, Anastasia Antsiferova
2024	—	`conf`	A New HDR Video Reconstruction Benchmark, Dataset and Metric. ICDSP Mikhail Voronin, Nickolay Safonov, Dmitriy S. Vatolin
2024	—	`conf`	AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. ECCV Workshops (10) 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
2024	J	`jnl`	AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. CoRR 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
2024	J	`jnl`	AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. CoRR 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
2024	—	`conf`	AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. ECCV Workshops (10) 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 Zhang, Hong Yi
2024	J	`jnl`	AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. CoRR 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 Yi
2024	J	`jnl`	Adversarial purification for no-reference image-quality metrics: applicability study and new methods. CoRR Aleksandr Gushchin, Anna Chistyakova, Vladislav Minashkin, Anastasia Antsiferova, Dmitriy S. Vatolin
2024	J	`jnl`	Bridging the Gap Between Saliency Prediction and Image Quality Assessment. CoRR Kirillov Alexey, Andrey Moskalenko, Dmitriy S. Vatolin
2024	J	`jnl`	Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution? CoRR Egor Kashkarov, Egor Chistov, Ivan Molodetskikh, Dmitriy S. Vatolin
2024	A*	`conf`	Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. AAAI Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin
2024	J	`jnl`	Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods. CoRR Egor Kovalev, Georgii Bychkov, Khaled Abud, Aleksandr Gushchin, Anna Chistyakova, Sergey Lavrushkin, Dmitriy S. Vatolin, Anastasia Antsiferova
2024	J	`jnl`	Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. CoRR Alexander Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova
2024	A*	`conf`	IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics. ICML Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2024	J	`jnl`	IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics. CoRR Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2024	J	`jnl`	IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models. CoRR Khaled Abud, Sergey Lavrushkin, Alexey Kirillov, Dmitriy S. Vatolin
2024	—	`conf`	Image Robustness to Adversarial Attacks on No-Reference Image-Quality Metrics. EUSIPCO Daniil Konstantinov, Sergey Lavrushkin, Dmitriy S. Vatolin
2024	J	`jnl`	JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset. CoRR Daria Tsereh, Mark Mirgaleev, Ivan Molodetskikh, Roman Kazantsev, Dmitriy S. Vatolin
2024	—	`conf`	Machine Vision-Aware Quality Metrics for Compressed Image and Video Assessment. ICPR (23) Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh, Malakhov Kirill, Sagitov Artur, Dmitriy S. Vatolin
2024	J	`jnl`	Machine vision-aware quality metrics for compressed image and video assessment. CoRR Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh, Malakhov Kirill, Artur Sagitov, Dmitriy S. Vatolin
2024	C	`conf`	Multi-Screen Effects on Quality Assessment: Investigating Banding Metrics Inconsistencies. VCIP Nickolay Safonov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
2024	A	`conf`	SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction. BMVC Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin
2024	J	`jnl`	Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment. CoRR Ekaterina Shumitskaya, Mikhail Pautov, Dmitriy S. Vatolin, Anastasia Antsiferova
2024	J	`jnl`	Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics. CoRR Victoria Leonenkova, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2024	J	`jnl`	Towards adversarial robustness verification of no-reference image- and video-quality metrics. Comput. Vis. Image Underst. Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2023	B	`conf`	Applicability limitations of differentiable full-reference image-quality metrics. DCC Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
2023	C	`conf`	BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. VCIP Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy S. Vatolin
2023	J	`jnl`	BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring. CoRR Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy S. Vatolin
2023	J	`jnl`	Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method. CoRR Egor Chistov, Nikita Alutis, Maxim Velikanov, Dmitriy S. Vatolin
2023	J	`jnl`	Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks. CoRR Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin, Ekaterina Shumitskaya, Maksim Velikanov, Dmitriy S. Vatolin
2023	J	`jnl`	Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric. CoRR Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin
2023	—	`conf`	Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. Tiny Papers @ ICLR Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2023	J	`jnl`	Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. CoRR Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2023	C	`conf`	Unveiling the Limitations of Novel Image Quality Metrics. MMSP Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
2022	J	`jnl`	Applicability limitations of differentiable full-reference image-quality. CoRR Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin
2022	C	`conf`	Bit-depth enhancement detection for compressed video. MMSP Nickolay Safonov, Dmitriy S. Vatolin
2022	J	`jnl`	Bit-depth enhancement detection for compressed video. CoRR Nickolay Safonov, Dmitriy S. Vatolin
2022	J	`jnl`	Combining Contrastive and Supervised Learning for Video Super-Resolution Detection. CoRR Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy S. Vatolin
2022	J	`jnl`	Temporally coherent person matting trained on fake-motion dataset. Digit. Signal Process. Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitriy S. Vatolin
2022	J	`jnl`	Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric. CoRR Eugene Lyapustin, Anastasia Kirillova, Viacheslav Meshchaninov, Evgeney Zimin, Nikolai Karetin, Dmitriy S. Vatolin
2022	A	`conf`	Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. BMVC Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2022	J	`jnl`	Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. CoRR Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
2022	A*	`conf`	Video compression dataset and benchmark of learning-based video-quality metrics. NeurIPS Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov
2022	J	`jnl`	Video compression dataset and benchmark of learning-based video-quality metrics. CoRR Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Alexander Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov
2021	J	`jnl`	Deep Two-Stage High-Resolution Image Inpainting. CoRR Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin
2021	—	`conf`	Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods. AICCC Maksim Siniukov, Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin
2021	J	`jnl`	Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing. CoRR Maksim Siniukov, Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin
2021	C	`conf`	Machine-Learning-Based Method for Content-Adaptive Video Encoding. PCS Sergey Zvezdakov, Denis Kondranin, Dmitriy S. Vatolin
2021	J	`jnl`	Method for Enhancing High-Resolution Image Inpainting with Two-Stage Approach. Program. Comput. Softw. Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin
2021	J	`jnl`	Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation. CoRR Anastasia Antsiferova, Alexander Yakovenko, Nickolay Safonov, Dmitriy L. Kulikov, Alexander Gushin, Dmitriy S. Vatolin
2021	C	`conf`	Power Consumption of Video-Decoders on Various Android Devices. PCS Roman Kazantsev, Dmitriy S. Vatolin
2021	J	`jnl`	Power Consumption of Video-Decoders on Various Android Devices. CoRR Roman Kazantsev, Dmitriy S. Vatolin
2021	J	`jnl`	Shot boundary detection method based on a new extensive dataset and mixed features. CoRR Alexander Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin
2021	—	`conf`	Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics. SD&A Sergey Lavrushkin, Ivan Molodetskikh, Konstantin Kozhemyakov, Dmitriy S. Vatolin
2021	B	`conf`	Video-Decoder Power Consumption on Android Devices: Power-Estimation Method, Dataset Creation, and Analysis Results. DCC Roman Kazantsev, Vladimir Yanushkovsky, Dmitriy S. Vatolin
2020	J	`jnl`	BSQ-rate: a New Approach for Video-codec Performance Comparison and Drawbacks of Current Solutions. Program. Comput. Softw. Anastasia V. Zvezdakova, Dmitriy L. Kulikov, Sergey Zvezdakov, Dmitriy S. Vatolin
2020	B	`conf`	Machine-Learning-Based Method for Finding Optimal Video-Codec Configurations Using Physical Input-Video Features. DCC Roman Kazantsev, Sergey Zvezdakov, Dmitriy S. Vatolin
2020	—	`conf`	Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos. IC3D Sergey Lavrushkin, Konstantin Kozhemyakov, Dmitriy S. Vatolin
2020	—	`conf`	Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos. IC3D Kirill Malyshev, Sergey Lavrushkin, Dmitriy S. Vatolin
2019	J	`jnl`	Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE. CoRR Anastasia Antsiferova, Dmitriy L. Kulikov, Denis Kondranin, Dmitriy S. Vatolin
2019	J	`jnl`	Improving Video Compression With Deep Visual-Attention Models. CoRR Vitaliy Lyudvichenko, Mikhail Erofeev, Alexander Ploshkin, Dmitriy S. Vatolin
2019	J	`jnl`	Perceptually Motivated Method for Image Inpainting Comparison. CoRR Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin
2019	J	`jnl`	Predicting video saliency using crowdsourced mouse-tracking data. CoRR Vitaliy Lyudvichenko, Dmitriy S. Vatolin
2019	J	`jnl`	Toward an objective benchmark for video completion. Signal Image Video Process. Alexander Bokov, Dmitriy S. Vatolin, Mikhail Erofeev, Yury Gitman
2019	J	`jnl`	Video Distortion Method for VMAF Quality Values Increasing. CoRR Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin, Sergey Zvezdakov
2018	B	`conf`	100+ Times Faster Video Completion by Optical-Flow-Guided Variational Refinement. ICIP Alexander Bokov, Dmitriy S. Vatolin
2018	—	`conf`	Accurate Method of Temporal-Shift Estimation for 3D Video. 3DTV-Conference Aleksandr Ploshkin, Dmitriy S. Vatolin
2018	—	`conf`	Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network. 3DTV-Conference Sergey Lavrushkin, Dmitriy S. Vatolin
2018	—	`conf`	Fast Occlusion Filling Method for Multiview Video Generation. 3DTV-Conference A. Khatiullin, Mikhail Erofeev, Dmitriy S. Vatolin
2018	—	`conf`	Local Method of Color-Difference Correction Between Stereoscopic-Video Views. 3DTV-Conference Sergey Lavrushkin, Vitaliy Lyudvichenko, Dmitriy S. Vatolin
2018	—	`conf`	Multilayer RGBD-Video Completion for Hole Filling in 3D-View Synthesis. IC3D Alexander Bokov, Dmitriy S. Vatolin
2017	B	`conf`	A semiautomatic saliency model and its application to video compression. ICCP Vitaliy Lyudvichenko, Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin
2017	—	`conf`	Sharpness Mismatch and 6 Other Stereoscopic Artifacts Measured on 10 Chinese S3D Movies. SD&A Dmitriy S. Vatolin, Alexander Bokov
2017	—	`conf`	The influence of 3D video artifacts on discomfort of 302 viewers. IC3D Anastasia Antsiferova, Dmitriy S. Vatolin
2017	—	`conf`	Toward efficient background reconstruction for 3D-view synthesis in dynamic scenes. ICME Workshops Alexander Bokov, Dmitriy S. Vatolin
2016	—	`conf`	Multilayer semitransparent-edge processing for depth-image-based rendering. IC3D Mikhail Erofeev, Dmitriy S. Vatolin
2016	—	`conf`	Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video. IC3D Alexander Bokov, Sergey Lavrushkin, Mikhail Erofeev, Dmitriy S. Vatolin, Alexey Fedorov
2016	—	`conf`	Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics. SD&A Dmitriy S. Vatolin, Alexander Bokov, Mikhail Erofeev, Vyacheslav Napadovsky
2015	—	`conf`	Detection of stuck-to-background objects in converted S3D movies. IC3D Stanislav Dolganov, Mikhail Erofeev, Dmitriy S. Vatolin, Yury Gitman
2015	A	`conf`	Perceptually Motivated Benchmark for Video Matting. BMVC Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin, Alexey Fedorov, Jue Wang
2014	—	`conf`	Automatic detection of artifacts in converted S3D video. SD&A Alexander Bokov, Dmitriy S. Vatolin, Anton Zachesov, Alexander Belous, Mikhail Erofeev
2014	B	`conf`	Semiautomatic visual-attention modeling and its application to video compression. ICIP Yury Gitman, Mikhail Erofeev, Dmitriy S. Vatolin, Bolshakov Andrey, Alexey Fedorov
2013	—	`conf`	3D Video Compression Using Depth Map Propagation. MCSS Sergey Matyunin, Dmitriy S. Vatolin
2013	—	`conf`	Methodology for stereoscopic motion-picture quality assessment. SD&A Alexander Voronov, Dmitriy S. Vatolin, Denis Sumin, Vyacheslav Napadovsky, Alexey Borisov
2011	—	`conf`	Temporal Post-processing Method for Automatically Generated Depth Maps. IMAGAPP/IVAPP Sergey Matyunin, Dmitriy S. Vatolin, Maxim Smirnov
2009	J	`jnl`	Double up-conversion of video frame rate based on bidirectional motion compensation. Program. Comput. Softw. Dmitriy S. Vatolin, Sergey Grishin
2009	A	`conf`	Edge-Directed Interpolation in a Bayesian Framework. BMVC Karen Simonyan, Dmitriy S. Vatolin
2008	B	`conf`	Fast video super-resolution via classification. ICIP Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov
2008	—	`conf`	Video super-resolution using motion compensation and classification-aided fusion. SCCG Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov