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Journal Articles
- 2021
[j5]Gülcan Can
, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti:
Semantic segmentation on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset. Pattern Recognit. Lett. 150: 108-114 (2021)- 2018
- [j4]Gülcan Can, Jean-Marc Odobez, Daniel Gatica-Perez:
How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs. ACM Journal on Computing and Cultural Heritage 11(4): 20:1-20:25 (2018) - [j3]Gulcan Can, Jean-Marc Odobez, Daniel Gatica-Perez:
Maya Codical Glyph Segmentation: A Crowdsourcing Approach. IEEE Trans. Multim. 20(3): 711-725 (2018) - 2016
- [j2]Gulcan Can, Jean-Marc Odobez, Daniel Gatica-Perez:
Evaluating Shape Representations for Maya Glyph Classification. ACM Journal on Computing and Cultural Heritage 9(3): 14:1-14:26 (2016) - 2015
- [j1]Rui Hu, Gulcan Can, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Gabrielle Vail, Stéphane Marchand-Maillet, Jean-Marc Odobez, Daniel Gatica-Perez:
Multimedia Analysis and Access of Ancient Maya Epigraphy: Tools to support scholars on Maya hieroglyphics. IEEE Signal Process. Mag. 32(4): 75-84 (2015)
Conference and Workshop Papers
- 2018
- [c9]Gülcan Can, Yassir Benkhedda, Daniel Gatica-Perez:
Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds. CVPR Workshops 2018: 2363-2372 - 2017
- [c8]Gülcan Can, Jean-Marc Odobez, Daniel Gatica-Perez:
Shape Representations for Maya Codical Glyphs: Knowledge-driven or Deep? CBMI 2017: 32:1-32:6 - 2016
- [c7]Gulcan Can, Jean-Marc Odobez, Carlos Pallan Gayol, Daniel Gatica-Perez:
Ancient Maya Writings as High-Dimensional Data: a Visualization Approach. DH 2016: 139-143 - [c6]Edgar Roman-Rangel, Gulcan Can, Stéphane Marchand-Maillet, Rui Hu, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Jean-Marc Odobez, Daniel Gatica-Perez:
Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art. ECCV Workshops (1) 2016: 842-855 - 2014
- [c5]Orhan Firat, Gulcan Can, Fatos T. Yarman-Vural:
Representation Learning for Contextual Object and Region Detection in Remote Sensing. ICPR 2014: 3708-3713 - [c4]Gulcan Can, Jean-Marc Odobez, Daniel Gatica-Perez:
Is That a Jaguar?: Segmenting Ancient Maya Glyphs via Crowdsourcing. CrowdMM 2014: 37-40 - 2013
- [c3]Gulcan Can, Orhan Firat, Fatos T. Yarman-Vural:
Contextual object recoğnition with conditional random fields. SIU 2013: 1-4 - 2012
- [c2]Ümit Rusen Aktas, Gulcan Can, Fatos T. Yarman-Vural:
A robust approach for shoreline detection in satellite imagery. SIU 2012: 1-4 - [c1]Gulcan Can, Orhan Firat, Fatos Tünay Yarman Vural:
Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection. SSPR/SPR 2012: 216-224
Informal and Other Publications
- 2020
- [i1]Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti:
Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset. CoRR abs/2012.12996 (2020)
Coauthor Index
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