Ivan Molodetskikh

According to our database, Ivan Molodetskikh authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

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, 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

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

Machine Vision-Aware Quality Metrics for Compressed Image and Video Assessment.

Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh, Malakhov Kirill, Sagitov Artur, Dmitriy S. Vatolin

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric.

Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin

CoRR, 2023

2022

Temporally coherent person matting trained on fake-motion dataset.

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

Digit. Signal Process., 2022

Combining Contrastive and Supervised Learning for Video Super-Resolution Detection.

Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy S. Vatolin

CoRR, 2022

2021

Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics.

Sergey Lavrushkin, Ivan Molodetskikh, Konstantin Kozhemyakov, Dmitriy S. Vatolin

Proceedings of the Stereoscopic Displays and Applications XXXII, 2021

2019

Perceptually Motivated Method for Image Inpainting Comparison.

Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin

CoRR, 2019