Krapac, J.[Josip]
* 2007: Infrared-Visual Image Registration Based on Corners and Hausdorff Distance
* 2010: Improving web image search results using query-relative classifiers
* 2011: Learning Tree-structured Quantizers for Image Categorization
* 2011: Modeling spatial layout with Fisher vectors for image categorization
* 2015: Fast Approximate GMM Soft-Assign for Fine-Grained Image Classification with Large Fisher Vectors
* 2015: Patch-Level Spatial Layout for Classification and Weakly Supervised Localization
* 2016: Convolutional Scale Invariance for Semantic Segmentation
* 2016: Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels
* 2017: Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images
* 2018: Sparse weakly supervised models for object localization in road environment
* 2020: Traffic Scene Classification on a Representation Budget
* 2021: Efficient Ladder-Style DenseNets for Semantic Segmentation of Large Images
Includes: Krapac, J.[Josip] Krapac, J.
12 for Krapac, J.
Krapf, S.[Sebastian]
* 2022: RID: Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment
* 2023: Improving Semantic Segmentation of Roof Segments Using Large-Scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery
Krapivin, A.[Alexander]
* 2021: DeepMark++: Real-time Clothing Detection at the Edge
Krapivin, V.F.[Vladimir F.]
* 2020: New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019, A