Department of Computer Science 5

Contact

+49 9131 85 20281

+49 9131 85 27270

Address

Universität Erlangen-Nürnberg
Chair of Computer Science 5 (Pattern Recognition)
Martensstraße 3
91058 Erlangen
Germany

Driving directions

Powered by

Dept. of Computer Sc. » Pattern Recognition » Our Team » Christlein, Vincent » Awards

Dr.-Ing. Vincent Christlein

Researcher in the Computer Vision (CV) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Awards

2017

IEEE SPS Award: on behalf of IEEE Signal Processing Society (SPS) for the paper:

Christlein, Vincent; Riess, Christian; Jordan, Johannes; Riess, Corinna; Angelopoulou, Elli: "An Evaluation of Popular Copy-Move Forgery Detection Approaches", IEEE Transactions on Information Forensics and Security, vol. 7, no. 6, pp. 1841-1854, 2012

The SPS Best Paper Award is regularly given to high impact journal papers in the last five years and is based on a nomination from the respective IEEE Technical Committee.

Competition Winner: ICDAR2017 Competition on the Classification of Medieval Handwritings in Latin Script: Task 2 (Style classification on heterogeneously encoded data) and Task 4 (Manuscript dating on heterogeneously encoded data)

2016

Competition Winner: ICFHR2016 Competition on Multi-Script Writer Demographics Classification Using "QUWI" Database: Task 1 (Writer Identification) and Task 3 (Handedness Classification)

Competition Winner: ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script: Task 1 (Accuracy)

2015

Best Poster Award for a very significant contribution in the field of document analysis and recognition (ICDAR 2015)

Competition Winner: ICDAR 2015 Competition on Multi-Script Writer Identification and Gender Classification (Task 1 Writer identification)

2014

Competition Winner: ICFHR2014 Competition on Arabic Writer Identification Using AHTID/MW and KHATT Databases (Task 3 Writer identification using the KHATT datasbase)



	Website deprecated and outdated. Click here for the new site.

Department of Computer Science 5 Our Team Christlein, Vincent Lectures Publications Awards Datasets Theses Curriculum Vitae My PHD Thesis Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact +49 9131 85 20281 +49 9131 85 27270 10.137 Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstraße 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Christlein, Vincent » Awards Dr.-Ing. Vincent Christlein Researcher in the Computer Vision (CV) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Awards 2017 IEEE SPS Award: on behalf of IEEE Signal Processing Society (SPS) for the paper: Christlein, Vincent; Riess, Christian; Jordan, Johannes; Riess, Corinna; Angelopoulou, Elli: "An Evaluation of Popular Copy-Move Forgery Detection Approaches", IEEE Transactions on Information Forensics and Security, vol. 7, no. 6, pp. 1841-1854, 2012 The SPS Best Paper Award is regularly given to high impact journal papers in the last five years and is based on a nomination from the respective IEEE Technical Committee. Competition Winner: ICDAR2017 Competition on the Classification of Medieval Handwritings in Latin Script: Task 2 (Style classification on heterogeneously encoded data) and Task 4 (Manuscript dating on heterogeneously encoded data) 2016 Competition Winner: ICFHR2016 Competition on Multi-Script Writer Demographics Classification Using "QUWI" Database: Task 1 (Writer Identification) and Task 3 (Handedness Classification) Competition Winner: ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script: Task 1 (Accuracy) 2015 Best Poster Award for a very significant contribution in the field of document analysis and recognition (ICDAR 2015) Competition Winner: ICDAR 2015 Competition on Multi-Script Writer Identification and Gender Classification (Task 1 Writer identification) 2014 Competition Winner: ICFHR2014 Competition on Arabic Writer Identification Using AHTID/MW and KHATT Databases (Task 3 Writer identification using the KHATT datasbase)