Следене
Ivan Krešo
Ivan Krešo
PhD student, Faculty of Electrical Engineering and Computing, University of Zagreb
Потвърден имейл адрес: fer.hr - Начална страница
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Позовавания
Позовавания
Година
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
2042019
Convolutional scale invariance for semantic segmentation
I Krešo, D Čaušević, J Krapac, S Šegvić
German conference on pattern recognition, 64-75, 2016
652016
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
502017
Discriminative out-of-distribution detection for semantic segmentation
P Bevandić, I Krešo, M Oršić, S Šegvić
arXiv preprint arXiv:1808.07703, 2018
362018
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
332019
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
302020
Improving the Egomotion Estimation by Correcting the Calibration Bias
I Krešo, S Šegvić
VISAPP, 10th International Joint Conference on Computer Vision, Imaging and …, 2015
252015
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
112019
Robust semantic segmentation with ladder-densenet models
I Krešo, M Oršić, P Bevandić, S Šegvić
arXiv preprint arXiv:1806.03465, 2018
92018
Dense open-set recognition based on training with noisy negative images
P Bevandić, I Krešo, M Oršić, S Šegvić
Image and Vision Computing, 104490, 2022
72022
A novel georeferenced dataset for stereo visual odometry
I Krešo, M Ševrović, S Šegvić
arXiv preprint arXiv:1310.0310, 2013
52013
Konvolucijska arhitektura za učinkovitu semantičku segmentaciju velikih slika
I Krešo
University of Zagreb. Faculty of Electrical Engineering and Computing …, 2021
12021
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
CONVOLUTIONAL ARCHITECTURE FOR EFFICIENT SEMANTIC SEGMENTATION OF LARGE IMAGES
I Krešo
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Download PDF Open Website
P Bevandić, I Krešo, M Oršić, S Šegvić
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
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