• Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networksLõuk, Roland; Riid, Andri; Pihlak, Rene; Tepljakov, AlekseiAlgorithms2020 / art. 198, 27 p. : ill https://doi.org/10.3390/a13080198 https://www.scopus.com/sourceid/21100199795 https://www.scopus.com/record/display.uri?eid=2-s2.0-85090390206&origin=inward&txGid=26edbca5668d23b701c1f11234fbac1d https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ALGORITHMS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000567145900001
• Pavement distress detection with deep learning using the orthoframes acquired by a mobile mapping systemRiid, Andri; Lõuk, Roland; Pihlak, Rene; Tepljakov, Aleksei; Vassiljeva, KristinaApplied sciences2019 / art. 4829, 22 p. : ill https://doi.org/10.3390/app9224829 https://www.scopus.com/sourceid/21100829268 https://www.scopus.com/record/display.uri?eid=2-s2.0-85075257880&origin=inward&txGid=a5d19b5bd2746d7487943dea35ff101b https://jcr.clarivate.com/jcr-jp/journal-profile?journal=APPL%20SCI-BASEL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000502570800106
• A two-stream context-aware ConvNet for pavement distress detectionLõuk, Roland; Tepljakov, Aleksei; Riid, Andri2020 43rd International Conference on Telecommunications and Signal Processing : TSP 2020, Milan, Italy, July 7-9, 20202020 / p. 270-273 : ill https://doi.org/10.1109/TSP49548.2020.9163538