A Novel Georeferenced Dataset for Stereo Visual Odometry. - Ivan Kreso; Marko Sevrovic; Sinisa Segvic (CoRR, 2013)

Improving the Egomotion Estimation by Correcting the Calibration Bias. - Ivan Kreso; Sinisa Segvic (VISAPP (3), 2015)

Convolutional Scale Invariance for Semantic Segmentation. - Ivan Kreso; Denis Causevic; Josip Krapac; Sinisa Segvic (GCPR, 2016)

Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images. - Josip Krapac; Ivan Kreso; Sinisa Segvic (ICCV Workshops, 2017)

Robust Semantic Segmentation with Ladder-DenseNet Models. - Ivan Kreso; Marin Orsic; Petra Bevandic; Sinisa Segvic (CoRR, 2018)

Discriminative out-of-distribution detection for semantic segmentation. - Petra Bevandic; Ivan Kreso; Marin Orsic; Sinisa Segvic (CoRR, 2018)

In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images. - Marin Orsic; Ivan Kreso; Petra Bevandic; Sinisa Segvic (CVPR, 2019)

Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift. - Petra Bevandic; Ivan Kreso; Marin Orsic; Sinisa Segvic (GCPR, 2019)

Traffic Scene Classification on a Representation Budget. - Ivan Sikiric; Karla Brkic; Petra Bevandic; Ivan Kreso; Josip Krapac; Sinisa Segvic (IEEE Trans. Intell. Transp. Syst., 2020)

Dense outlier detection and open-set recognition based on training with noisy negative images. - Petra Bevandic; Ivan Kreso; Marin Orsic; Sinisa Segvic (CoRR, 2021)

Efficient Ladder-Style DenseNets for Semantic Segmentation of Large Images. - Ivan Kreso; Josip Krapac; Sinisa Segvic (IEEE Trans. Intell. Transp. Syst., 2021)

Konvolucijska arhitektura za učinkovitu semantičku segmentaciju velikih slika ; Convolutional architecture for efficient semantic segmentation of large images. - Ivan Kreso (2021)

Dense open-set recognition based on training with noisy negative images. - Petra Bevandic; Ivan Kreso; Marin Orsic; Sinisa Segvic (Image Vis. Comput., 2022)