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Andrey Ignatov
Andrey Ignatov
Verified email at vision.ee.ethz.ch
Title
Cited by
Cited by
Year
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
A Ignatov
Applied Soft Computing 62, 915-922, 2018
4832018
DSLR-quality photos on mobile devices with deep convolutional networks
A Ignatov, N Kobyshev, R Timofte, K Vanhoey, L Van Gool
Proceedings of the IEEE International Conference on Computer Vision, 3277-3285, 2017
3282017
Ai benchmark: Running deep neural networks on android smartphones
A Ignatov, R Timofte, W Chou, K Wang, M Wu, T Hartley, L Van Gool
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
2582018
WESPE: weakly supervised photo enhancer for digital cameras
A Ignatov, N Kobyshev, R Timofte, K Vanhoey, L Van Gool
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1332018
Ai benchmark: All about deep learning on smartphones in 2019
A Ignatov, R Timofte, A Kulik, S Yang, K Wang, F Baum, M Wu, L Xu, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
112*2019
Pirm challenge on perceptual image enhancement on smartphones: Report
A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
812018
Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer
AD Ignatov, VV Strijov
Multimedia tools and applications 75 (12), 7257-7270, 2016
802016
Replacing mobile camera isp with a single deep learning model
A Ignatov, L Van Gool, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
662020
A Large-scale CNN ensemble for medication safety analysis
L Akhtyamova, A Ignatov, J Cardiff
International Conference on Applications of Natural Language to Information …, 2017
302017
Rendering Natural Camera Bokeh Effect With Deep Learning
A Ignatov, J Patel, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
292020
AIM 2020 challenge on learned image signal processing pipeline
A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ...
European Conference on Computer Vision, 152-170, 2020
242020
Ntire 2019 challenge on image enhancement: Methods and results
A Ignatov, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
242019
Decision stream: Cultivating deep decision trees
D Ignatov, A Ignatov
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
212017
Aim 2019 challenge on bokeh effect synthesis: Methods and results
A Ignatov, J Patel, R Timofte, B Zheng, X Ye, L Huang, X Tian, S Dutta, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
202019
Real-time video super-resolution on smartphones with deep learning, mobile ai 2021 challenge: Report
A Ignatov, A Romero, H Kim, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
192021
AIM 2020 challenge on rendering realistic bokeh
A Ignatov, R Timofte
European Conference on Computer Vision Workshops 2, 2020
192020
Aim 2019 challenge on raw to rgb mapping: Methods and results
A Ignatov, R Timofte, SJ Ko, SW Kim, KH Uhm, SW Ji, SJ Cho, JP Hong, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
182019
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
A Ignatov, G Malivenko, D Plowman, S Shukla, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
Fast perceptual image enhancement
E de Stoutz, A Ignatov, N Kobyshev, R Timofte, L Van Gool
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
122018
Real-time quantized image super-resolution on mobile npus, mobile ai 2021 challenge: Report
A Ignatov, R Timofte, M Denna, A Younes
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
112021
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Articles 1–20