Mikhail Erofeev

According to our database, Mikhail Erofeev authored at least 17 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results.

Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin, Kira Shilovskaya, Mikhail Erofeev, Dmitry Vatolin, Radu Timofte, Kun Wang, Yupeng Hu, Zhiran Li, Hao Liu, Qianlong Xiang, Liqiang Nie, Konstantinos Chaldaiopoulos, Niki Efthymiou, Athanasia Zlatintsi, Panayiotis Paraskevas Filntisis, Katerina Pastra, Petros Maragos, Li Yang, Gen Zhan, Yiting Liao, Yabin Zhang, Yuxin Liu, Xu Wu, Yunheng Zheng, Linze Li, Kun He, Cong Wu, Xuefeng Zhu, Tianyang Xu, Xiaojun Wu, Wenzhuo Zhao, Keren Fu, Gongyang Li, Shixiang Shi, Jianlin Chen, Haibin Ling, Yaoxin Jiang, Guoyi Xu, Jiajia Liu, Yaokun Shi, Jiachen Tu

CoRR, April, 2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild.

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya, Artem Filippov, Georgii Bychkov, Sergey Lavrushkin, Mikhail Erofeev, Anastasia Antsiferova, Changsheng Chen, Shunquan Tan, Radu Timofte, Dmitriy S. Vatolin, Chuanbiao Song, Zijian Yu, Hao Tan, Jun Lan, Zhiqiang Yang, Yongwei Tang, Zhiqiang Wu, Jia Wen Seow, Hong Vin Koay, Haodong Ren, Feng Xu, Shuai Chen, Ruiyang Xia, Qi Zhang, Yaowen Xu, Zhaofan Zou, Hao Sun, Dagong Lu, Mufeng Yao, Xinlei Xu, Fei Wu, Fengjun Guo, Cong Luo, Hardik Sharma, Aashish Negi, Prateek Shaily, Jayant Kumar, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Zhilin Tu, Fengpeng Li, Jiamin Zhang, Jianwei Fei, Kemou Li, Haiwei Wu, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Chenfan Qu, Junchi Li

CoRR, April, 2026

2022

Temporally coherent person matting trained on fake-motion dataset.

Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitriy S. Vatolin

Digit. Signal Process., 2022

2021

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

Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin

Program. Comput. Softw., 2021

Deep Two-Stage High-Resolution Image Inpainting.

Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin

CoRR, 2021

2019

Toward an objective benchmark for video completion.

Alexander Bokov, Dmitriy S. Vatolin, Mikhail Erofeev, Yury Gitman

Signal Image Video Process., 2019

Perceptually Motivated Method for Image Inpainting Comparison.

Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin

CoRR, 2019

Improving Video Compression With Deep Visual-Attention Models.

Vitaliy Lyudvichenko, Mikhail Erofeev, Alexander Ploshkin, Dmitriy S. Vatolin

CoRR, 2019

2018

Fast Occlusion Filling Method for Multiview Video Generation.

A. Khatiullin, Mikhail Erofeev, Dmitriy S. Vatolin

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

2017

A semiautomatic saliency model and its application to video compression.

Vitaliy Lyudvichenko, Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin

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

2016

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

Mikhail Erofeev, Dmitriy S. Vatolin

Proceedings of the International Conference on 3D Imaging, 2016

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

Alexander Bokov, Sergey Lavrushkin, Mikhail Erofeev, Dmitriy S. Vatolin, Alexey Fedorov

Proceedings of the International Conference on 3D Imaging, 2016

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

Dmitriy S. Vatolin, Alexander Bokov, Mikhail Erofeev, Vyacheslav Napadovsky

Proceedings of the Stereoscopic Displays and Applications XXVII, 2016

2015

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

Stanislav Dolganov, Mikhail Erofeev, Dmitriy S. Vatolin, Yury Gitman

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

Perceptually Motivated Benchmark for Video Matting.

Mikhail Erofeev, Yury Gitman, Dmitriy S. Vatolin, Alexey Fedorov, Jue Wang

Proceedings of the British Machine Vision Conference 2015, 2015

2014

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

Yury Gitman, Mikhail Erofeev, Dmitriy S. Vatolin, Bolshakov Andrey, Alexey Fedorov

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

Automatic detection of artifacts in converted S3D video.

Alexander Bokov, Dmitriy S. Vatolin, Anton Zachesov, Alexander Belous, Mikhail Erofeev

Proceedings of the Stereoscopic Displays and Applications XXV, 2014