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
1312018
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
1042017
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), 0-0, 2018
812018
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
532018
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
492016
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), 0-0, 2018
302018
Decision stream: Cultivating deep decision trees
D Ignatov, A Ignatov
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
92017
NTIRE 2019 Challenge on Image Enhancement: Methods and Results
A Ignatov, R Timofte
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
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, ...
arXiv preprint arXiv:1910.06663, 2019
22019
Replacing Mobile Camera ISP with a Single Deep Learning Model
A Ignatov, L Van Gool, R Timofte
arXiv preprint arXiv:2002.05509, 2020
2020
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Articles 1–10