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Daniel Schulz
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2020 – today
- 2024
- [c16]Lucas Janisch, Daniel Schulz, Alexander Schmidt, Raven Reisch, Tobias Kamps, Jörg Franke:
Comparative Study of Keypoint Detection and ArUco Marker Methods for Optical 6D Pose Estimation in Electronics Packaging. CASE 2024: 3969-3974 - [c15]Lambert Igene, Afzal Hossain, Mohammad Zahir Uddin Chowdhury, Humaira Rezaie, Ayden Rollins, Jesse Dykes, Rahul Vijaykumar, Alain Komaty, Sébastien Marcel, Stephanie Schuckers, Juan E. Tapia, Carlos Aravena, Daniel Schulz, Banafsheh Adami, Nima Karimian, Diogo Nunes, João Marcos, Nuno Gonçalves, Lovro Sikosek, Borut Batagelj, Aleksandr Alenin, Alhasan Alkhaddour, Anton Pimenov, Artem Tregubov, Igor Avdonin, Maxim Kazantsev, Mikhail Pozigun, Vasiliy Pryadchenko, Nima Schei, David Pabon, Manuela Tiedemann:
Face Liveness Detection Competition (LivDet-Face) - 2024. IJCB 2024: 1-9 - [c14]Juan E. Tapia, Naser Damer, Christoph Busch, Juan M. Espín, Javier Barrachina, Alvaro S. Rocamora, Kristof Ocvirk, Leon Alessio, Borut Batagelj, Sushrut Patwardhan, Raghavendra Ramachandra, Raghavendra Mudgalgundurao, Kiran B. Raja, Daniel Schulz, Carlos Aravena:
First Competition on Presentation Attack Detection on ID Card. IJCB 2024: 1-10 - [i6]Juan E. Tapia, Naser Damer, Christoph Busch, Juan M. Espín, Javier Barrachina, Alvaro S. Rocamora, Kristof Ocvirk, Leon Alessio, Borut Batagelj, Sushrut Patwardhan, Raghavendra Ramachandra, Raghavendra Mudgalgundurao, Kiran B. Raja, Daniel Schulz, Carlos Aravena:
First Competition on Presentation Attack Detection on ID Card. CoRR abs/2409.00372 (2024) - 2023
- [j4]Daniel Schulz, Claudio A. Perez:
Two-Stage Pedestrian Detection Model Using a New Classification Head for Domain Generalization. Sensors 23(23): 9380 (2023) - [c13]Daniela Altun, Daniel Schulz:
Learning to Take the Right Turn - Which Learning Media is Best Suited to Learn a Sequence of Actions to Solve a Rubik's Cube? HCI (34) 2023: 191-205 - [c12]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2023: 1-11 - [c11]Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton R. Crum, Kevin W. Bowyer, Patrick J. Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan E. Tapia, Christoph Busch, Carlos M. Aravena, Daniel Schulz:
Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. IJCB 2023: 1-10 - [c10]Daniel Schulz, Marcelo Antonio Marotta, Lucas Bondan, Marcos F. Caetano, Geraldo P. Rocha Filho, Aletéia P. F. Araújo:
Detecção de Falhas em um Aplicativo Móvel Bancário. SBRC 2023: 365-378 - [d1]Daniel Schulz:
Mobile Web Analytics. IEEE DataPort, 2023 - [i5]Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton R. Crum, Kevin W. Bowyer, Patrick J. Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan E. Tapia, Christoph Busch, Carlos M. Aravena, Daniel Schulz:
Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. CoRR abs/2310.04541 (2023) - [i4]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2311.05336 (2023) - 2022
- [c9]Daniel Schulz, Jose Maureira, Juan E. Tapia, Christoph Busch:
Identity Documents Image Quality Assessment. EUSIPCO 2022: 1017-1021 - [i3]Juan E. Tapia, Daniel Schulz, Christoph Busch:
Single Morphing Attack Detection using Siamese Network and Few-shot Learning. CoRR abs/2206.10969 (2022) - 2021
- [j3]Julius Krause, Maurice Günder, Daniel Schulz, Robin Gruna:
New active learning algorithms for near-infrared spectroscopy in agricultural applications. Autom. 69(4): 297-306 (2021) - [i2]Rodrigo Lara, Andres Valenzuela, Daniel Schulz, Juan E. Tapia, Christoph Busch:
Towards an Efficient Semantic Segmentation Method of ID Cards for Verification Systems. CoRR abs/2111.12764 (2021)
2010 – 2019
- 2019
- [i1]Christian Bauckhage, Daniel Schulz, Dirk Hecker:
Informed Machine Learning for Industry. ERCIM News 2019(116) (2019) - 2017
- [j2]Georg Stricker, Alexander Engelhardt, Daniel Schulz, Matthias Schmid, Achim Tresch, Julien Gagneur:
GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis. Bioinform. 33(15): 2258-2265 (2017) - 2013
- [c8]Stefan Franke, Daniel Schulz, Joerg Seeburger, Bernhard Preim, Thomas Neumuth:
A surgical assistance system for transcatheter aortic valve implantation based on a magic lens concept. CURAC 2013: 165-168 - 2012
- [j1]Björn Schwalb, Daniel Schulz, Mai Sun, Benedikt Zacher, Sebastian Dümcke, Dietmar E. Martin, Patrick Cramer, Achim Tresch:
Measurement of genome-wide RNA synthesis and decay rates with Dynamic Transcriptome Analysis (DTA). Bioinform. 28(6): 884-885 (2012) - 2011
- [c7]Dirk Hecker, Christine Körner, Hendrik Stange, Daniel Schulz, Michael May:
Modeling Micro-Movement Variability in Mobility Studies. AGILE Conf. 2011: 121-140 - 2010
- [p1]Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel:
Spatial Data Mining in Practice: Principles and Case Studies. Data Mining for Business Applications 2010: 164-178
2000 – 2009
- 2009
- [c6]Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz:
Stacked Gaussian Process Learning. ICDM 2009: 387-396 - 2008
- [c5]Michael May, Simon Scheider, Roberto Rösler, Daniel Schulz, Dirk Hecker:
Pedestrian flow prediction in extensive road networks using biased observational data. GIS 2008: 67 - [c4]Andrea Zanda, Christine Körner, Fosca Giannotti, Daniel Schulz, Michael May:
Clustering of German municipalities based on mobility characteristics: an overview of results. GIS 2008: 69 - [c3]Michael May, Dirk Hecker, Christine Körner, Simon Scheider, Daniel Schulz:
A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions. ICDM Workshops 2008: 442-447 - 2007
- [c2]Simon Scheider, Daniel Schulz:
Specifying Essential Features of Street Networks. COSIT 2007: 169-185 - 2000
- [c1]Daniel Schulz, Frank Mueller:
A thread-aware debugger with an open interface. ISSTA 2000: 201-211
Coauthor Index
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last updated on 2024-12-19 23:09 CET by the dblp team
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