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Journal Articles
- 2020
[j1]Roland Lõuk, Andri Riid
, René Pihlak, Aleksei Tepljakov:
Pavement Defect Segmentation in Orthoframes with a Pipeline of Three Convolutional Neural Networks. Algorithms 13(8): 198 (2020)
Conference and Workshop Papers
- 2021
- [c5]Mairo Leier, Andri Riid, Tanel Alumäe, Uljana Reinsalu, René Pihlak, Andres Udal, Risto Heinsar, Sven Vainküla:
Smart Elevator with Unsupervised Learning for Visitor Profiling and Personalised Destination Prediction. CogSIMA 2021: 9-16 - [c4]René Pihlak, Andri Riid:
Morphological Cross Entropy Loss for Improved Semantic Segmentation of Small and Thin Objects. KES 2021: 582-591 - 2020
- [c3]René Pihlak, Andri Riid:
Simultaneous Road Edge and Road Surface Markings Detection Using Convolutional Neural Networks. DB&IS 2020: 109-121 - 2019
- [c2]Aleksei Tepljakov, Andri Riid, Rene Pihlak, Kristina Vassiljeva, Eduard Petlenkov:
Deep Learning for Detection of Pavement Distress using Nonideal Photographic Images. TSP 2019: 195-200 - 2018
- [c1]Karl Janson, Rene Pihlak, Siavoosh Payandeh Azad, Behrad Niazmand, Gert Jervan, Jaan Raik:
AWAIT: An Ultra-Lightweight Soft-Error Mitigation Mechanism for Network-on-Chip Links. ReCoSoC 2018: 1-6
Coauthor Index
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