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Ivan Krešo
Ivan Krešo
PhD student, Faculty of Electrical Engineering and Computing, University of Zagreb
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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
4482019
Discriminative out-of-distribution detection for semantic segmentation
P Bevandić, I Krešo, M Oršić, S Šegvić
arXiv preprint arXiv:1808.07703, 2018
902018
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
852019
Convolutional scale invariance for semantic segmentation
I Krešo, D Čaušević, J Krapac, S Šegvić
Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016
752016
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
712017
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
652020
Improving the Egomotion Estimation by Correcting the Calibration Bias
I Krešo, S Šegvić
VISAPP, 10th International Joint Conference on Computer Vision, Imaging and …, 2015
292015
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
272022
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
202019
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
192021
Robust semantic segmentation with ladder-densenet models
I Krešo, M Oršić, P Bevandić, S Šegvić
arXiv preprint arXiv:1806.03465, 2018
172018
A novel georeferenced dataset for stereo visual odometry
I Krešo, M Ševrović, S Šegvić
arXiv preprint arXiv:1310.0310, 2013
82013
Konvolucijska arhitektura za učinkovitu semantičku segmentaciju velikih slika
I Krešo
University of Zagreb. Faculty of Electrical Engineering and Computing …, 2021
12021
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
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Artículos 1–19