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20182022
most citedAIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

16 citations · 18 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

Ren Yang, Radu Timofte, Meisong Zheng +75

This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…

cs.CV2021★ 1 cited

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

Goutam Bhat, Martin Danelljan, Radu Timofte +25

This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times hig…

cs.CV2019

Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners

Artem L. Pavlov, Azat Davletshin, Alexey Kharlamov +8

With the advancements of various autonomous car projects aiming to achieve SAE Level 5, real-time detection of traffic signs in real-life scenarios has become a highly relevant pro…

cs.CV2019★ 1 cited

Adapting Convolutional Neural Networks for Geographical Domain Shift

Pavel Ostyakov, Sergey I. Nikolenko

We present the winning solution for the Inclusive Images Competition organized as part of the Conference on Neural Information Processing Systems (NeurIPS 2018) Competition Track.…

cs.CV2018

SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint

Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva +2

We present a novel approach to image manipulation and understanding by simultaneously learning to segment object masks, paste objects to another background image, and remove them f…

cs.CV2018

Label Denoising with Large Ensembles of Heterogeneous Neural Networks

Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov +4

Despite recent advances in computer vision based on various convolutional architectures, video understanding remains an important challenge. In this work, we present and discuss a…