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2020 – today
- 2024
[j17]Petra Bevandic
, Marin Orsic, Josip Saric, Ivan Grubisic, Sinisa Segvic:
Weakly Supervised Training of Universal Visual Concepts for Multi-domain Semantic Segmentation. Int. J. Comput. Vis. 132(7): 2450-2472 (2024)- [j16]Matej Grcic, Sinisa Segvic:
Hybrid Open-Set Segmentation With Synthetic Negative Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6748-6760 (2024) - [j15]Matej Grcic, Petra Bevandic, Zoran Kalafatic, Sinisa Segvic:
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data. Sensors 24(4): 1248 (2024) - [j14]Marin Kacan, Marko Sevrovic, Sinisa Segvic:
Dynamic Loss Balancing and Sequential Enhancement for Road-Safety Assessment and Traffic Scene Classification. IEEE Trans. Intell. Transp. Syst. 25(11): 15628-15640 (2024) - [c44]Masoud Taghikhah, Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold:
Quantile-Based Maximum Likelihood Training for Outlier Detection. AAAI 2024: 21610-21618 - [c43]Ivan Martinovic, Josip Saric, Sinisa Segvic:
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation. ECCV (72) 2024: 167-185 - [c42]Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann:
Identifying Label Errors in Object Detection Datasets by Loss Inspection. WACV 2024: 4570-4579 - [i34]Anja Delic, Matej Grcic, Sinisa Segvic:
Outlier detection by ensembling uncertainty with negative objectness. CoRR abs/2402.15374 (2024) - [i33]Ivan Martinovic, Josip Saric, Sinisa Segvic:
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation. CoRR abs/2407.14110 (2024) - [i32]Ivan Sabolic, Ivan Grubisic, Sinisa Segvic:
Backdoor Defense through Self-Supervised and Generative Learning. CoRR abs/2409.01185 (2024) - 2023
- [j13]Josip Saric, Marin Orsic, Sinisa Segvic:
Panoptic SwiftNet: Pyramidal Fusion for Real-Time Panoptic Segmentation. Remote. Sens. 15(8): 1968 (2023) - [j12]Ivan Grubisic, Marin Orsic, Sinisa Segvic:
Revisiting Consistency for Semi-Supervised Semantic Segmentation. Sensors 23(2): 940 (2023) - [j11]Josip Saric, Sacha Vrazic, Sinisa Segvic:
Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6443-6455 (2023) - [c41]Matej Grcic, Josip Saric, Sinisa Segvic:
On Advantages of Mask-level Recognition for Outlier-aware Segmentation. CVPR Workshops 2023: 2937-2947 - [c40]Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold:
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. CVPR 2023: 5156-5165 - [i31]Matej Grcic, Josip Saric, Sinisa Segvic:
On advantages of Mask-level Recognition for Open-set Segmentation in the Wild. CoRR abs/2301.03407 (2023) - [i30]Matej Grcic, Sinisa Segvic:
Hybrid Open-set Segmentation with Synthetic Negative Data. CoRR abs/2301.08555 (2023) - [i29]Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold:
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. CoRR abs/2302.07106 (2023) - [i28]Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann:
Identifying Label Errors in Object Detection Datasets by Loss Inspection. CoRR abs/2303.06999 (2023) - [i27]Anja Delic, Matej Grcic, Sinisa Segvic:
Real time dense anomaly detection by learning on synthetic negative data. CoRR abs/2305.15227 (2023) - [i26]Masoud Taghikhah, Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold:
Quantile-based Maximum Likelihood Training for Outlier Detection. CoRR abs/2310.06085 (2023) - 2022
- [j10]Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Dense open-set recognition based on training with noisy negative images. Image Vis. Comput. 124: 104490 (2022) - [c39]Petra Bevandic, Sinisa Segvic:
Automatic universal taxonomies for multi-domain semantic segmentation. BMVC 2022: 63 - [c38]Matej Grcic, Petra Bevandic, Sinisa Segvic:
DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition. ECCV (25) 2022: 500-517 - [c37]Petra Bevandic, Marin Orsic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with overlapping labels *. WACV 2022: 2422-2431 - [i25]Josip Saric, Marin Orsic, Sinisa Segvic:
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic Segmentation. CoRR abs/2203.07908 (2022) - [i24]Matej Grcic, Petra Bevandic, Sinisa Segvic:
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition. CoRR abs/2207.02606 (2022) - [i23]Petra Bevandic, Sinisa Segvic:
Automatic universal taxonomies for multi-domain semantic segmentation. CoRR abs/2207.08445 (2022) - [i22]Marin Kacan, Marko Sevrovic, Sinisa Segvic:
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification. CoRR abs/2211.04165 (2022) - [i21]Petra Bevandic, Marin Orsic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation. CoRR abs/2212.10340 (2022) - 2021
- [j9]Marin Orsic, Sinisa Segvic:
Efficient semantic segmentation with pyramidal fusion. Pattern Recognit. 110: 107611 (2021) - [j8]Ivan Kreso, Josip Krapac, Sinisa Segvic:
Efficient Ladder-Style DenseNets for Semantic Segmentation of Large Images. IEEE Trans. Intell. Transp. Syst. 22(8): 4951-4961 (2021) - [c36]Ivan Grubisic, Marin Orsic, Sinisa Segvic:
A baseline for semi-supervised learning of efficient semantic segmentation models. MVA 2021: 1-5 - [c35]Matej Grcic, Ivan Grubisic, Sinisa Segvic:
Densely connected normalizing flows. NeurIPS 2021: 23968-23982 - [c34]Matej Grcic, Petra Bevandic, Sinisa Segvic:
Dense Open-set Recognition with Synthetic Outliers Generated by Real NVP. VISIGRAPP (4: VISAPP) 2021: 133-143 - [i20]Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Dense outlier detection and open-set recognition based on training with noisy negative images. CoRR abs/2101.09193 (2021) - [i19]Josip Saric, Sacha Vrazic, Sinisa Segvic:
Joint Forecasting of Features and Feature Motion for Dense Semantic Future Prediction. CoRR abs/2101.10777 (2021) - [i18]Matej Grcic, Ivan Grubisic, Sinisa Segvic:
Densely connected normalizing flows. CoRR abs/2106.04627 (2021) - [i17]Ivan Grubisic, Marin Orsic, Sinisa Segvic:
A baseline for semi-supervised learning of efficient semantic segmentation models. CoRR abs/2106.07075 (2021) - [i16]Petra Bevandic, Marin Orsic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with overlapping labels. CoRR abs/2108.11224 (2021) - [i15]Matej Grcic, Petra Bevandic, Zoran Kalafatic, Sinisa Segvic:
Dense anomaly detection by robust learning on synthetic negative data. CoRR abs/2112.12833 (2021) - 2020
- [j7]Ivan Ralasic, Damir Sersic, Sinisa Segvic:
Perceptual Autoencoder for Compressive Sensing Image Reconstruction. Informatica 31(3): 561-578 (2020) - [j6]Ivan Sikiric, Karla Brkic, Petra Bevandic, Ivan Kreso, Josip Krapac, Sinisa Segvic:
Traffic Scene Classification on a Representation Budget. IEEE Trans. Intell. Transp. Syst. 21(1): 336-345 (2020) - [c33]Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic:
Warp to the Future: Joint Forecasting of Features and Feature Motion. CVPR 2020: 10645-10654 - [c32]Kristijan Fugosic, Josip Saric, Sinisa Segvic:
Multimodal Semantic Forecasting Based on Conditional Generation of Future Features. GCPR 2020: 474-487 - [c31]Marin Kacan, Marin Orsic, Sinisa Segvic, Marko Sevrovic:
Multi-Task Learning for iRAP Attribute Classification and Road Safety Assessment. ITSC 2020: 1-6 - [i14]Marin Orsic, Petra Bevandic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with pyramidal fusion. CoRR abs/2009.01636 (2020) - [i13]Kristijan Fugosic, Josip Saric, Sinisa Segvic:
Multimodal semantic forecasting based on conditional generation of future features. CoRR abs/2010.09067 (2020) - [i12]Matej Grcic, Petra Bevandic, Sinisa Segvic:
Dense open-set recognition with synthetic outliers generated by Real NVP. CoRR abs/2011.11094 (2020)
2010 – 2019
- 2019
- [c30]Marin Orsic, Ivan Kreso, Petra Bevandic, Sinisa Segvic:
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images. CVPR 2019: 12607-12616 - [c29]Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift. GCPR 2019: 33-47 - [c28]Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic:
Single Level Feature-to-Feature Forecasting with Deformable Convolutions. GCPR 2019: 189-202 - [c27]Borna Bicanic, Marin Orsic, Ivan Markovic, Sinisa Segvic, Ivan Petrovic:
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings. FUSION 2019: 1-6 - [i11]Marin Orsic, Ivan Kreso, Petra Bevandic, Sinisa Segvic:
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images. CoRR abs/1903.08469 (2019) - [i10]Ivan Kreso, Josip Krapac, Sinisa Segvic:
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images. CoRR abs/1905.05661 (2019) - [i9]Borna Bicanic, Marin Orsic, Ivan Markovic, Sinisa Segvic, Ivan Petrovic:
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings. CoRR abs/1907.07045 (2019) - [i8]Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic:
Single Level Feature-to-Feature Forecasting with Deformable Convolutions. CoRR abs/1907.11475 (2019) - [i7]Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift. CoRR abs/1908.01098 (2019) - 2018
- [j5]Valentina Zadrija, Josip Krapac, Sinisa Segvic, Jakob Verbeek:
Sparse weakly supervised models for object localization in road environment. Comput. Vis. Image Underst. 176-177: 9-21 (2018) - [i6]Ivan Kreso, Marin Orsic, Petra Bevandic, Sinisa Segvic:
Robust Semantic Segmentation with Ladder-DenseNet Models. CoRR abs/1806.03465 (2018) - [i5]Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Discriminative out-of-distribution detection for semantic segmentation. CoRR abs/1808.07703 (2018) - 2017
- [c26]Josip Krapac, Ivan Kreso, Sinisa Segvic:
Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images. ICCV Workshops 2017: 238-245 - 2016
- [c25]Ivan Kreso, Denis Causevic, Josip Krapac, Sinisa Segvic:
Convolutional Scale Invariance for Semantic Segmentation. GCPR 2016: 64-75 - [c24]Josip Krapac, Sinisa Segvic:
Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels. GCPR 2016: 377-388 - 2015
- [c23]Josip Krapac, Sinisa Segvic:
Fast Approximate GMM Soft-Assign for Fine-Grained Image Classification with Large Fisher Vectors. GCPR 2015: 470-480 - [c22]Valentina Zadrija, Josip Krapac, Jakob Verbeek, Sinisa Segvic:
Patch-Level Spatial Layout for Classification and Weakly Supervised Localization. GCPR 2015: 492-503 - [c21]Josip Krapac, Sinisa Segvic:
Weakly Supervised Object Localization with Large Fisher Vectors. VISAPP (2) 2015: 44-53 - [c20]Ivan Kreso, Sinisa Segvic:
Improving the Egomotion Estimation by Correcting the Calibration Bias. VISAPP (3) 2015: 347-356 - 2014
- [j4]Sinisa Segvic, Karla Brkic, Zoran Kalafatic, Axel Pinz:
Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle. Mach. Vis. Appl. 25(3): 649-665 (2014) - [c19]Karla Brkic, Aitor Aldoma, Markus Vincze, Sinisa Segvic, Zoran Kalafatic:
Temporal Ensemble of Shape Functions. 3DOR@Eurographics 2014: 53-60 - [c18]Ivan Sikiric, Karla Brkic, Josip Krapac, Sinisa Segvic:
Image representations on a budget: Traffic scene classification in a restricted bandwidth scenario. Intelligent Vehicles Symposium 2014: 845-852 - 2013
- [i4]Karla Brkic, Srdan Rasic, Axel Pinz, Sinisa Segvic, Zoran Kalafatic:
Combining Spatio-Temporal Appearance Descriptors and Optical Flow for Human Action Recognition in Video Data. CoRR abs/1310.0308 (2013) - [i3]Ivan Kreso, Marko Sevrovic, Sinisa Segvic:
A Novel Georeferenced Dataset for Stereo Visual Odometry. CoRR abs/1310.0310 (2013) - [i2]Valentina Zadrija, Sinisa Segvic:
Multiclass Road Sign Detection using Multiplicative Kernel. CoRR abs/1310.0311 (2013) - [i1]Ivan Sikiric, Karla Brkic, Sinisa Segvic:
Classifying Traffic Scenes Using The GIST Image Descriptor. CoRR abs/1310.0316 (2013) - 2012
- [c17]Karla Brkic, Axel Pinz, Zoran Kalafatic, Sinisa Segvic:
Towards Space-Time Semantics in Two Frames. ECCV Workshops (3) 2012: 121-130 - [c16]Viktor Braut, Mateja Culjak, Vedran Vukotic, Sinisa Segvic, Marko Sevrovic, Hrvoje Gold:
Estimating OD matrices at intersections in airborne video - A pilot study. MIPRO 2012: 977-982 - [c15]Sinisa Segvic, Zoran Kalafatic, Ivan Kovacek:
Sliding Window Object Detection without Spatial Clustering of Raw Detection Responses. SyRoCo 2012: 114-119 - 2011
- [j3]Albert Diosi, Sinisa Segvic, Anthony Remazeilles, François Chaumette:
Experimental Evaluation of Autonomous Driving Based on Visual Memory and Image-Based Visual Servoing. IEEE Trans. Intell. Transp. Syst. 12(3): 870-883 (2011) - [c14]Ivan Sikiric, Ante Majic, Sinisa Segvic:
Using GPS positioning to recover a comprehensive road appearance mosaic. MIPRO 2011: 877-882 - [c13]Sinisa Segvic, Marko Sevrovic, Goran Kos, Vladimir Stanisavljevic, Ivan Dadic:
Preliminary experiments in multi-view video stitching. MIPRO 2011: 892-896 - [c12]Petar Palasek, Petra Bosilj, Sinisa Segvic:
Detecting and recognizing centerlines as parabolic sections of the steerable filter response. MIPRO 2011: 903-908 - [c11]Karla Brkic, Axel Pinz, Sinisa Segvic, Zoran Kalafatic:
Histogram-Based Description of Local Space-Time Appearance. SCIA 2011: 206-217 - 2010
- [c10]Karla Brkic, Sinisa Segvic, Zoran Kalafatic, Ivan Sikiric, Axel Pinz:
Generative modeling of spatio-temporal traffic sign trajectories. CVPR Workshops 2010: 25-31 - [c9]Sinisa Segvic, Karla Brkic, Zoran Kalafatic, Vladimir Stanisavljevic, Marko Sevrovic, D. Budimir, Ivan Dadic:
A computer vision assisted geoinformation inventory for traffic infrastructure. ITSC 2010: 66-73
2000 – 2009
- 2009
- [j2]Sinisa Segvic, Anthony Remazeilles, Albert Diosi, François Chaumette:
A mapping and localization framework for scalable appearance-based navigation. Comput. Vis. Image Underst. 113(2): 172-187 (2009) - 2008
- [c8]Gerald Schweighofer, Sinisa Segvic, Axel Pinz:
Online/Realtime Structure and Motion for General Camera Models. WACV 2008: 1-6 - 2007
- [c7]Sinisa Segvic, Anthony Remazeilles, Albert Diosi, François Chaumette:
A Framework for Scalable Vision-Only Navigation. ACIVS 2007: 1-12 - [c6]Sinisa Segvic, Anthony Remazeilles, Albert Diosi, François Chaumette:
Large scale vision-based navigation without an accurate global reconstruction. CVPR 2007 - [c5]Sinisa Segvic, Gerald Schweighofer, Axel Pinz:
Influence of numerical conditioning on the accuracy of relative orientation. CVPR 2007 - [c4]Albert Diosi, Fabien Spindler, Anthony Remazeilles, Sinisa Segvic, François Chaumette:
Visual path following using only monocular vision for urban environments. IROS 2007: 2563-2564 - [c3]Albert Diosi, Anthony Remazeilles, Sinisa Segvic, François Chaumette:
Outdoor visual path following experiments. IROS 2007: 4265-4270 - 2006
- [c2]Sinisa Segvic, Anthony Remazeilles, François Chaumette:
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support. ECCV (2) 2006: 112-124 - 2004
- [b1]Sinisa Segvic:
Višeagentsko praćenje objekata aktivnim računarskim vidom ; Multi-agent Object Tracking by Active Vision. University of Zagreb, Croatia, 2004 - 2003
- [c1]Sinisa Segvic, Slobodan Ribaric:
A Software Architecture for Distributed Visual Tracking in a Global Vision Localization System. ICVS 2003: 365-375 - 2001
- [j1]Sinisa Segvic, Slobodan Ribaric:
Determining the absolute orientation in a corridor using projective geometry and active vision. IEEE Trans. Ind. Electron. 48(3): 696-710 (2001)
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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