Sledovat
Siniša Šegvić
Siniša Šegvić
University of Zagreb Faculty of Electrical Engineering and Computing
E-mailová adresa ověřena na: fer.unizg.hr - Domovská stránka
Název
Citace
Citace
Rok
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
4652019
Efficient semantic segmentation with pyramidal fusion
M Oršić, S Šegvić
Pattern Recognition 110, 107611, 2021
1222021
A mapping and localization framework for scalable appearance-based navigation
S Šegvić, A Remazeilles, A Diosi, F Chaumette
Computer Vision and Image Understanding 113 (2), 172-187, 2009
932009
Discriminative out-of-distribution detection for semantic segmentation
P Bevandić, I Krešo, M Oršić, S Šegvić
arXiv preprint arXiv:1808.07703, 2018
882018
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
872019
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
A computer vision assisted geoinformation inventory for traffic infrastructure
S Šegvic, K Brkić, Z Kalafatić, V Stanisavljević, M Ševrović, D Budimir, ...
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE …, 2010
73*2010
Ladder-style densenets for semantic segmentation of large natural images
I Kreso, S Segvic, J Krapac
Proceedings of the IEEE International Conference on Computer Vision …, 2017
702017
Efficient ladder-style densenets for semantic segmentation of large images
I Krešo, J Krapac, S Šegvić
IEEE Transactions on Intelligent Transportation Systems, 2020
692020
Densehybrid: Hybrid anomaly detection for dense open-set recognition
M Grcić, P Bevandić, S Šegvić
European Conference on Computer Vision, 500-517, 2022
682022
Outdoor visual path following experiments
A Diosi, A Remazeilles, S Segvic, F Chaumette
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
622007
Densely connected normalizing flows
M Grcić, I Grubišić, S Šegvić
Advances in Neural Information Processing Systems 34, 23968-23982, 2021
592021
Experimental evaluation of autonomous driving based on visual memory and image-based visual servoing
A Diosi, S Segvic, A Remazeilles, F Chaumette
IEEE Transactions on Intelligent Transportation Systems 12 (3), 870-883, 2011
592011
Determining the absolute orientation in a corridor using projective geometry and active vision
S Segvic, S Ribaric
Industrial Electronics, IEEE Transactions on 48 (3), 696-710, 2001
582001
Large scale vision-based navigation without an accurate global reconstruction
S Segvic, A Remazeilles, A Diosi, F Chaumette
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
572007
Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle
S Šegvić, K Brkić, Z Kalafatić, A Pinz
Machine vision and applications 25 (3), 649-665, 2014
512014
Real-time active visual tracking system
S Ribaric, G Adrinek, S Segvic
Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE …, 2004
512004
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
50*2022
Dense anomaly detection by robust learning on synthetic negative data
M Grcic, P Bevandic, Z Kalafatic, S Šegvic
arXiv preprint arXiv:2112.12833 2 (5), 2021
422021
Traffic sign detection as a component of an automated traffic infrastructure inventory system
K Brkic, A Pinz, S Šegvic
Proceedings of the annual Workshop of the Austrian Association for Pattern …, 2009
422009
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Články 1–20