Kernel-mapped histograms of multi-scale LBPs for tree bark recognition M Sulc, J Matas Image and Vision Computing New Zealand (IVCNZ), 2013 28th International …, 2013 | 24 | 2013 |
Fine-grained recognition of plants from images M Šulc, J Matas Plant Methods 13 (1), 115, 2017 | 21 | 2017 |
Texture-based leaf identification M Sulc, J Matas European Conference on Computer Vision, 185-200, 2014 | 19 | 2014 |
Plant Identification: Experts vs. Machines in the Era of Deep Learning P Bonnet, H Goëau, ST Hang, M Lasseck, M Šulc, V Malécot, P Jauzein, ... Multimedia Tools and Applications for Environmental & Biodiversity …, 2018 | 17 | 2018 |
Fast features invariant to rotation and scale of texture M Sulc, J Matas European Conference on Computer Vision, 47-62, 2014 | 16 | 2014 |
System and method for product identification M Sulc, AG Soldevila, DL Larrondo, FC Perronnin US Patent 9,443,164, 2016 | 14 | 2016 |
Very deep residual networks with maxout for plant identification in the wild M Šulc, D Mishkin, J Matas Working notes of CLEF, 2016 | 12 | 2016 |
Plant Recognition by Inception Networks with Test-time Class Prior Estimation M Šulc, L Picek, J Matas CLEF 2018 - Conference and Labs of the Evaluation Forum, 2018 | 10 | 2018 |
Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition M Šulc, J Matas CLEF 2017 - Conference and Labs of the Evaluation Forum, 2017 | 7 | 2017 |
Improving cnn classifiers by estimating test-time priors M Sulc, J Matas Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 6 | 2019 |
Recognition of the Amazonian flora by inception networks with test-time class prior estimation L Picek, M Šulc, J Matas CLEF (Working Notes), 2019 | 6 | 2019 |
Deep learning for plant identification: how the web can compete with human experts H Goëau, A Joly, P Bonnet, M Lasseck, M Šulc, ST Hang Biodiversity Information Science and Standards 2, e25637, 2018 | 4 | 2018 |
Fungi Recognition: A Practical Use Case M Sulc, L Picek, J Matas, T Jeppesen, J Heilmann-Clausen The IEEE Winter Conference on Applications of Computer Vision, 2316-2324, 2020 | 2 | 2020 |
Significance of Colors in Texture Datasets M Šulc, J Matas Computer Vision Winter Workshop, 2016 | | 2016 |