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2020 – today
- 2024
[i5]Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo:
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. CoRR abs/2409.11860 (2024)- 2022
- [i4]Kishaloy Halder, Josip Krapac, Dmitry Goryunov, Anthony Brew, Matti Lyra, Alsida Dizdari, William Gillett, Adrien Renahy, Sinan Tang:
Enhancing Product Safety in E-Commerce with NLP. CoRR abs/2210.14363 (2022) - [i3]Kishaloy Halder, Josip Krapac, Alan Akbik, Anthony Brew, Matti Lyra:
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. CoRR abs/2212.00086 (2022) - 2021
- [j3]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) - 2020
- [j2]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) - [c14]Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf:
Task-Aware Representation of Sentences for Generic Text Classification. COLING 2020: 3202-3213
2010 – 2019
- 2019
- [i2]Tomislav Sebrek, Jan Tomljanovic, Josip Krapac, Mile Sikic:
Read classification using semi-supervised deep learning. CoRR abs/1904.10353 (2019) - [i1]Ivan Kreso, Josip Krapac, Sinisa Segvic:
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images. CoRR abs/1905.05661 (2019) - 2018
- [j1]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) - 2017
- [c13]Josip Krapac, Ivan Kreso, Sinisa Segvic:
Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images. ICCV Workshops 2017: 238-245 - 2016
- [c12]Ivan Kreso, Denis Causevic, Josip Krapac, Sinisa Segvic:
Convolutional Scale Invariance for Semantic Segmentation. GCPR 2016: 64-75 - [c11]Josip Krapac, Sinisa Segvic:
Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels. GCPR 2016: 377-388 - 2015
- [c10]Josip Krapac, Sinisa Segvic:
Fast Approximate GMM Soft-Assign for Fine-Grained Image Classification with Large Fisher Vectors. GCPR 2015: 470-480 - [c9]Valentina Zadrija, Josip Krapac, Jakob Verbeek, Sinisa Segvic:
Patch-Level Spatial Layout for Classification and Weakly Supervised Localization. GCPR 2015: 492-503 - [c8]Josip Krapac, Sinisa Segvic:
Weakly Supervised Object Localization with Large Fisher Vectors. VISAPP (2) 2015: 44-53 - 2014
- [c7]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 - [c6]Josip Krapac, Florent Perronnin, Teddy Furon, Hervé Jégou:
Instance classification with prototype selection. ICMR 2014: 431 - 2011
- [b1]Josip Krapac:
Image Representations for Ranking and Classification. (Représentations d'images pour la recherche et la classification d'images). University of Caen Normandy, France, 2011 - [c5]Josip Krapac, Jakob Verbeek, Frédéric Jurie:
Learning Tree-structured Quantizers for Image Categorization. BMVC 2011: 1-11 - [c4]Josip Krapac, Jakob Verbeek, Frédéric Jurie:
Modeling spatial layout with fisher vectors for image categorization. ICCV 2011: 1487-1494 - 2010
- [c3]Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie:
Improving web image search results using query-relative classifiers. CVPR 2010: 1094-1101
2000 – 2009
- 2007
- [c2]Josip Krapac, Frédéric Jurie:
Learning Distance Functions for Automatic Annotation of Images. Adaptive Multimedia Retrieval 2007: 1-16 - [c1]Tomislav Hrkac, Zoran Kalafatic, Josip Krapac:
Infrared-Visual Image Registration Based on Corners and Hausdorff Distance. SCIA 2007: 383-392
Coauthor Index
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