| Real-time human activity recognition from accelerometer data using Convolutional Neural Networks A Ignatov Applied Soft Computing 62, 915-922, 2018 | 426 | 2018 |
| 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 | 298 | 2017 |
| 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 | 233 | 2018 |
| 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 | 126 | 2018 |
| 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 | 99* | 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 | 79 | 2018 |
| 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 | 75 | 2016 |
| 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 | 60 | 2020 |
| 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 | 29 | 2017 |
| 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 | 25 | 2020 |
| 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 | 23 | 2020 |
| Decision stream: Cultivating deep decision trees D Ignatov, A Ignatov 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 23 | 2017 |
| 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 | 21 | 2019 |
| 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 | 18 | 2019 |
| AIM 2020 challenge on rendering realistic bokeh A Ignatov, R Timofte European Conference on Computer Vision Workshops 2, 2020 | 17 | 2020 |
| 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 | 13 | 2021 |
| 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 | 12 | 2018 |
| 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 | 11 | 2021 |
| 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 | 10 | 2021 |
| Controlling information capacity of binary neural network D Ignatov, A Ignatov Pattern Recognition Letters 138, 276-281, 2020 | 10 | 2020 |
