| Pavement distress detection with deep learning using the orthoframes acquired by a mobile mapping system A Riid, R Louk, R Pihlak, A Tepljakov, K Vassiljeva Applied Sciences 9 (22), 4829, 2019 | 37 | 2019 |
| Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks R Lõuk, A Riid, R Pihlak, A Tepljakov Algorithms 13 (8), 198, 2020 | 9 | 2020 |
| Deep learning for detection of pavement distress using nonideal photographic images A Tepljakov, A Riid, R Pihlak, K Vassiljeva, E Petlenkov 2019 42nd International Conference on Telecommunications and Signal …, 2019 | 5 | 2019 |
| Morphological cross entropy loss for improved semantic segmentation of small and thin objects R Pihlak, A Riid Procedia Computer Science 192, 582-591, 2021 | 4 | 2021 |
| Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction M Leier, A Riid, T Alumäe, U Reinsalu, R Pihlak, A Udal, R Heinsar, ... 2021 IEEE Conference on Cognitive and Computational Aspects of Situation …, 2021 | 3 | 2021 |
| Simultaneous road edge and road surface markings detection using convolutional neural networks R Pihlak, A Riid International Baltic Conference on Databases and Information Systems, 109-121, 2020 | 3 | 2020 |
| Await: An ultra-lightweight soft-error mitigation mechanism for network-on-chip links K Janson, R Pihlak, SP Azad, B Niazmand, G Jervan, J Raik 2018 13th International Symposium on Reconfigurable Communication-centric …, 2018 | 3 | 2018 |
| Identification of drivable road area from orthophotos using a convolutional neural network A Riid, R Pihlak, R Liinev 2020 17th Biennial Baltic Electronics Conference (BEC), 1-5, 2020 | 2 | 2020 |
| Handling of SETs on NoC links by exploitation of inherent redundancy in circular input buffers K Janson, R Pihlak, SP Azad, B Niazmand, G Jervan, J Raik 2018 16th Biennial Baltic Electronics Conference (BEC), 1-4, 2018 | 2 | 2018 |
| Automated Training Set Size Reduction for Detection of Small and Thin Objects R Pihlak, A Riid International Conference on Computing and Information Technology, 423-433, 2022 | | 2022 |
| Vehicle Counting and Direction Determination with Convolutional Neural Network Using Data From a 9.9 GHz Low Power Microwave Radar R Pihlak | | |
| Computer-Aided Design of Digital Systems (IAS0540) WEEK 6 R Pihlak | | |
