In defense of pre-trained imagenet architectures for real-time semantic segmentation of road-driving images M Orsic, I Kreso, P Bevandic, S Segvic Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 448 | 2019 |
Discriminative out-of-distribution detection for semantic segmentation P Bevandić, I Krešo, M Oršić, S Šegvić arXiv preprint arXiv:1808.07703, 2018 | 90 | 2018 |
Simultaneous semantic segmentation and outlier detection in presence of domain shift P Bevandić, I Krešo, M Oršić, S Šegvić Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 85 | 2019 |
Convolutional scale invariance for semantic segmentation I Krešo, D Čaušević, J Krapac, S Šegvić Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016 | 75 | 2016 |
Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images I Krešo, J Krapac, S Šegvić Computer Vision Workshop (ICCVW), 2017 IEEE International Conference on, 238-245, 2017 | 71 | 2017 |
Efficient ladder-style densenets for semantic segmentation of large images I Krešo, J Krapac, S Šegvić IEEE Transactions on Intelligent Transportation Systems 22 (8), 4951-4961, 2020 | 65 | 2020 |
Improving the Egomotion Estimation by Correcting the Calibration Bias I Krešo, S Šegvić VISAPP, 10th International Joint Conference on Computer Vision, Imaging and …, 2015 | 29 | 2015 |
Dense open-set recognition based on training with noisy negative images P Bevandić, I Krešo, M Oršić, S Šegvić Image and vision computing 124, 104490, 2022 | 27 | 2022 |
Traffic scene classification on a representation budget I Sikirić, K Brkić, P Bevandić, I Krešo, J Krapac, S Šegvić Ieee transactions on intelligent transportation systems 21 (1), 336-345, 2019 | 20 | 2019 |
Dense outlier detection and open-set recognition based on training with noisy negative images P Bevandić, I Krešo, M Oršić, S Šegvić arXiv preprint arXiv:2101.09193, 2021 | 19 | 2021 |
Robust semantic segmentation with ladder-densenet models I Krešo, M Oršić, P Bevandić, S Šegvić arXiv preprint arXiv:1806.03465, 2018 | 17 | 2018 |
A novel georeferenced dataset for stereo visual odometry I Krešo, M Ševrović, S Šegvić arXiv preprint arXiv:1310.0310, 2013 | 8 | 2013 |
Konvolucijska arhitektura za učinkovitu semantičku segmentaciju velikih slika I Krešo University of Zagreb. Faculty of Electrical Engineering and Computing …, 2021 | 1 | 2021 |
Sustav za praćenje korištenja implantata pri ortopedskim operacijama I Krešo University of Zagreb. Faculty of Electrical Engineering and Computing, 2023 | | 2023 |
Convolutional architecture for efficient semantic segmentation of large images I Krešo Fakultet elektrotehnike i računarstva, 2021 | | 2021 |
Convolutional Models for Segmentation and Localization I Krešo, P Bevandić, M Oršić, S Šegvić Engineering power: bulletin of the Croatian Academy of Engineering 13 (2.), 8-12, 2018 | | 2018 |
Strojno očitanje natpisa na prometnim znakovima I Krešo Fakultet elektrotehnike i računarstva, 2011 | | 2011 |
Overview of Stereoscopic Visual Odometry Methods I Krešo | | |
Napredno estimiranje strukture i gibanja kalibriranim parom kamera I Krešo | | |