| 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 | 435 | 2019 |
| Discriminative out-of-distribution detection for semantic segmentation P Bevandić, I Krešo, M Oršić, S Šegvić arXiv preprint arXiv:1808.07703, 2018 | 89 | 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 | 83 | 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 | 28 | 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 |
| 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 |
| 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 | 19 | 2019 |
| 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 | | |
Siniša ŠegvićUniversity of Zagreb Faculty of Electrical Engineering and ComputingVerified email at fer.unizg.hr
