activity
20182022
most citedAdapting Convolutional Neural Networks for Geographical Domain Shift

1 citations · 2 across the 3 of their papers we have counts for

collaborators

7 papers

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.CV20211 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.CV20191 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.LG2018

Learning State Representations in Complex Systems with Multimodal Data

Pavel Solovev, Vladimir Aliev, Pavel Ostyakov +7

Representation learning becomes especially important for complex systems with multimodal data sources such as cameras or sensors. Recent advances in reinforcement learning and opti…

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…