Ivan Krešo
Ivan Krešo
PhD student, Faculty of Electrical Engineering and Computing, University of Zagreb
Verified email at fer.hr - Homepage
Title
Cited by
Cited by
Year
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
1062019
Convolutional scale invariance for semantic segmentation
I Krešo, D Čaušević, J Krapac, S Šegvić
German Conference on Pattern Recognition, 64-75, 2016
522016
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
422017
Improving the Egomotion Estimation by Correcting the Calibration Bias
I Krešo, S Šegvić
VISAPP, 10th International Joint Conference on Computer Vision, Imaging and …, 2015
232015
Discriminative out-of-distribution detection for semantic segmentation
P Bevandić, I Krešo, M Oršić, S Šegvić
arXiv preprint arXiv:1808.07703, 2018
212018
Simultaneous semantic segmentation and outlier detection in presence of domain shift
P Bevandić, I Krešo, M Oršić, S Šegvić
German Conference on Pattern Recognition, 33-47, 2019
162019
Efficient ladder-style densenets for semantic segmentation of large images
I Krešo, J Krapac, S Šegvić
IEEE Transactions on Intelligent Transportation Systems, 2020
102020
Robust semantic segmentation with ladder-densenet models
I Krešo, M Oršić, P Bevandić, S Šegvić
arXiv preprint arXiv:1806.03465, 2018
92018
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
72019
A novel georeferenced dataset for stereo visual odometry
I Krešo, M Ševrović, S Šegvić
arXiv preprint arXiv:1310.0310, 2013
52013
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
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
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images Download PDF Open Website
I Krešo, J Krapac, S Šegvić
Overview of Stereoscopic Visual Odometry Methods
I Krešo
Napredno estimiranje strukture i gibanja kalibriranim parom kamera
I Krešo
Strojno očitanje natpisa na prometnim znakovima
I Krešo
The system can't perform the operation now. Try again later.
Articles 1–16