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ORCIDChristin Seifert
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- affiliation: University of Passau, Faculty of Computer Science and Mathematics, Germany
- affiliation: Graz University of Technology, Institute of Knowledge Management, Austria
- affiliation: Know-Center GmbH, Graz, Austria
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2020 – today
- 2022
[j13]Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman, Christin Seifert:
Radiology report generation for proximal femur fractures using deep classification and language generation models. Artif. Intell. Medicine 128: 102281 (2022)- [j12]Andrea Papenmeier
, Dagmar Kern, Gwenn Englebienne, Christin Seifert:
It's Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI. ACM Trans. Comput. Hum. Interact. 29(4): 35:1-35:33 (2022) - [c79]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert:
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CHI 2022: 180:1-180:13 - [c78]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer:
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) 2022: 240-247 - [c77]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer:
Simulating User Interaction and Search Behaviour in Digital Libraries. IRCDL 2022 - [e4]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13185, Springer 2022, ISBN 978-3-030-99735-9 [contents] - [e3]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13186, Springer 2022, ISBN 978-3-030-99738-0 [contents] - [i9]Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer:
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). CoRR abs/2201.04816 (2022) - [i8]Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. CoRR abs/2201.08164 (2022) - [i7]Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio:
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. CoRR abs/2204.03503 (2022) - 2021
- [j11]Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel J. A. M. van Putten, Christin Seifert:
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring. Artif. Intell. Medicine 114: 102038 (2021) - [j10]Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert:
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet 13(5): 136 (2021) - [c76]Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer:
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). CogMI 2021: 116-123 - [c75]Meike Nauta, Ron van Bree, Christin Seifert:
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. CVPR 2021: 14933-14943 - [c74]Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert:
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE 2021: 43-51 - [c73]Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert:
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. PKDD/ECML Workshops (1) 2021: 441-456 - [c72]Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert, Shenghui Wang:
Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. TDS 2021: 73-85 - 2020
- [j9]Martin Toepfer, Christin Seifert:
Fusion architectures for automatic subject indexing under concept drift. Int. J. Digit. Libr. 21(2): 169-189 (2020) - [j8]Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1883-1894 (2020) - [j7]Jörg Schlötterer, Christin Seifert, Christopher Satchell, Michael Granitzer:
QueryCrumbs search query history visualization - Usability, transparency and long-term usage. J. Comput. Lang. 57: 100941 (2020) - [c71]Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert:
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. CogMI 2020: 72-81 - [c70]Meike Nauta, Michel J. A. M. van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert:
Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. KDH@ECAI 2020: 5-11 - [c69]Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen:
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. ICDM (Workshops) 2020: 644-650 - [c68]Mihai David Marin, Elena Mocanu, Christin Seifert:
Effectiveness of neural language models for word prediction of textual mammography reports. SMC 2020: 1596-1603 - [c67]Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. HSDM@WSDM 2020: 3-11 - [i6]Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. CoRR abs/2001.05714 (2020) - [i5]Valentine Legoy, Marco Caselli, Christin Seifert, Andreas Peter:
Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports. CoRR abs/2004.14322 (2020) - [i4]Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert:
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. CoRR abs/2011.02863 (2020) - [i3]Meike Nauta, Ron van Bree, Christin Seifert:
Neural Prototype Trees for Interpretable Fine-grained Image Recognition. CoRR abs/2012.02046 (2020)
2010 – 2019
- 2019
- [j6]Meike Nauta, Doina Bucur, Christin Seifert:
Causal Discovery with Attention-Based Convolutional Neural Networks. Mach. Learn. Knowl. Extr. 1(1): 312-340 (2019) - [c66]Michelle Peters, Lindsay Kempen, Meike Nauta, Christin Seifert:
Visualising the Training Process of Convolutional Neural Networks for Non-Experts. BNAIC/BENELEARN 2019 - [c65]Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert:
Comparing Process Models for Patient Populations: Application in Breast Cancer Care. Business Process Management Workshops 2019: 496-507 - [c64]Christin Seifert, Stefanie Scherzinger, Lena Wiese:
Towards Generating Consumer Labels for Machine Learning Models. CogMI 2019: 173-179 - [c63]Kilian Ros, Elena Mocanu, Christin Seifert:
Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. CIC 2019: 1-10 - [c62]Stefanie Scherzinger, Christin Seifert, Lena Wiese:
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. ICDCS 2019: 1620-1629 - [c61]Abraham Theodorus, Meike Nauta, Christin Seifert:
Evaluating CNN interpretability on sketch classification. ICMV 2019: 114331Q - [e2]Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer:
Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings. Communications in Computer and Information Science 1062, Springer 2019, ISBN 978-3-030-27683-6 [contents] - [i2]Andrea Papenmeier, Gwenn Englebienne, Christin Seifert:
How model accuracy and explanation fidelity influence user trust. CoRR abs/1907.12652 (2019) - 2018
- [c60]Tobias Milz, Christin Seifert:
Analysing Author Self-citations in Computer Science Publications. DEXA Workshops 2018: 289-300 - [c59]Nils Witt, Tobias Milz, Christin Seifert:
Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases. DS 2018: 373-385 - [c58]Nils Witt, Michael Granitzer, Christin Seifert:
Collection-Document Summaries. ECIR 2018: 638-643 - [c57]Martin Toepfer, Christin Seifert:
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts Under Precision and Recall Constraints. TPDL 2018: 3-15 - [c56]Tobias Milz, Christin Seifert:
Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender. TPDL 2018: 321-325 - [c55]Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. ICDM Workshops 2018: 732-739 - [c54]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals. IV 2018: 78-84 - [e1]Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland R. Wagner:
Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018, Proceedings. Communications in Computer and Information Science 903, Springer 2018, ISBN 978-3-319-99132-0 [contents] - [i1]Martin Toepfer, Christin Seifert:
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints. CoRR abs/1806.02743 (2018) - 2017
- [c53]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
On Joint Representation Learning of Network Structure and Document Content. CD-MAKE 2017: 237-251 - [c52]Christin Seifert, Annett Mitschick, Jörg Schlötterer, Raimund Dachselt:
Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data. CHIIR 2017: 301-304 - [c51]Nils Witt, Christin Seifert:
Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks. TPDL 2017: 193-204 - [c50]Martin Toepfer, Christin Seifert:
Towards Semantic Quality Control of Automatic Subject Indexing. TPDL 2017: 616-619 - [c49]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
QueryCrumbs: A Compact Visualization for Navigating the Search Query History. IV 2017: 35-44 - [c48]Martin Toepfer, Christin Seifert:
Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing. JCDL 2017: 31-40 - 2016
- [c47]Nils Witt, Christin Seifert, Michael Granitzer:
Explaining Topical Distances Using Word Embeddings. DEXA Workshops 2016: 212-217 - [c46]Johannes Jurgovsky, Michael Granitzer, Christin Seifert:
Evaluating Memory Efficiency and Robustness of Word Embeddings. ECIR 2016: 200-211 - [c45]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
Supporting Web Surfers in Finding Related Material in Digital Library Repositories. TPDL 2016: 434-437 - [c44]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings. ESWC 2016: 182-198 - [c43]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Robust and Collective Entity Disambiguation through Semantic Embeddings. SIGIR 2016: 425-434 - 2015
- [j5]Christin Seifert, Michael Granitzer:
EEXCESS: Personalisierter Zugriff auf Long-Tail-Inhalte - neue Methoden zur Verbreitung wissenschaftlich-kulturellen Wissens. Inf. Wiss. Prax. 66(2-3): 103-110 (2015) - [c42]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation. DEXA (1) 2015: 76-93 - [c41]Jörg Schlötterer, Christin Seifert, Lisa Wagner, Michael Granitzer:
A Game with a Purpose to Access Europe's Cultural Treasure. GamifIR@ECIR 2015: 13-18 - [c40]Jörg Schlötterer, Christin Seifert, Wolfgang Lutz, Michael Granitzer:
From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. ECIR 2015: 805-808 - [c39]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Search-based entity disambiguation with document-centric knowledge bases. I-KNOW 2015: 6:1-6:8 - [c38]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
User Interface Considerations for Browser-Based Just-in-Time-Retrieval. IV 2015: 460-467 - [c37]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
Towards a feature-rich data set for personalized access to long-tail content. SAC 2015: 1031-1038 - [p3]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Linking Biomedical Data to the Cloud. Smart Health 2015: 209-235 - 2014
- [c36]Kai Schlegel, Thomas Weißgerber, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch:
Balloon Synopsis: A Modern Node-Centric RDF Viewer and Browser for the Web. ESWC (Satellite Events) 2014: 249-253 - [c35]Christin Seifert, Johannes Jurgovsky, Michael Granitzer:
FacetScape: A Visualization for Exploring the Search Space. IV 2014: 94-101 - [c34]Patrick Höfler, Michael Granitzer, Eduardo E. Veas, Christin Seifert:
Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints. LDOW 2014 - [p2]Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, Michael Granitzer:
Visual Analysis and Knowledge Discovery for Text. Large-Scale Data Analytics 2014: 189-218 - [p1]Andreas Holzinger, Johannes Schantl, Miriam Schroettner, Christin Seifert, Karin Verspoor:
Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics 2014: 271-300 - 2013
- [j4]Christin Seifert, Eva Ulbrich, Roman Kern, Michael Granitzer:
Text Representation for Efficient Document Annotation. J. Univers. Comput. Sci. 19(3): 383-405 (2013) - [c33]Kai Schlegel, Sebastian Bayerl, Stefan Zwicklbauer, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch:
Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information. ESWC (Satellite Events) 2013: 268-270 - [c32]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation? I-KNOW 2013: 4:1-4:8 - [c31]Stefan Zwicklbauer, Christoph Einsiedler, Michael Granitzer, Christin Seifert:
Towards Disambiguating Web Tables. ISWC (Posters & Demos) 2013: 205-208 - [c30]Christin Seifert, Michael Granitzer, Patrick Höfler, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Sebastian Bayerl, Florian Stegmaier, Stefan Zwicklbauer, Roman Kern:
Crowdsourcing Fact Extraction from Scientific Literature. CHI-KDD 2013: 160-172 - [c29]Michael Granitzer, Christin Seifert, Silvia Russegger, Klaus Tochtermann:
Unfolding Cultural, Educational and Scientific Long-Tail Content in the Web. UMAP Workshops 2013 - 2012
- [c28]Barbara Kump, Christin Seifert, Günter Beham, Stefanie N. Lindstaedt, Tobias Ley:
Seeing what the system thinks you know: visualizing evidence in an open learner model. LAK 2012: 153-157 - [c27]Vedran Sabol, Kow Weng Onn, Manuela Rauch, Eva Ulbrich, Christin Seifert, Michael Granitzer, Dickson Lukose:
Visual Ontology Alignment System - An Evaluation. SIGRAD 2012: 9-18 - [c26]Wolfgang Kienreich, Christin Seifert:
Visual Exploration of Feature-Class Matrices for Classification Problems. EuroVA@EuroVis 2012 - [c25]Wolfgang Kienreich, Ralph Wozelka, Vedran Sabol, Christin Seifert:
Graph Visualization Using Hierarchical Edge Routing and Bundling. EuroVA@EuroVis 2012 - [c24]Florian Stegmaier, Christin Seifert, Roman Kern, Patrick Höfler, Sebastian Bayerl, Michael Granitzer, Harald Kosch, Stefanie N. Lindstaedt, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Stefan Zwicklbauer:
Unleashing Semantics of Research Data. WBDB 2012: 103-112 - 2011
- [c23]Roman Kern, Christin Seifert, Mario Zechner, Michael Granitzer:
Vote/Veto Meta-Classifier for Authorship Identification - Notebook for PAN at CLEF 2011. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c22]Christin Seifert, Eva Ulbrich, Michael Granitzer:
Word Clouds for Efficient Document Labeling. Discovery Science 2011: 292-306 - 2010
- [j3]Roman Kern, Christin Seifert, Michael Granitzer:
A hybrid system for German encyclopedia alignment. Int. J. Digit. Libr. 11(2): 75-89 (2010) - [c21]Christin Seifert, Michael Granitzer:
User-Based Active Learning. ICDM Workshops 2010: 418-425 - [c20]Wolfgang Kienreich, Christin Seifert:
An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results. IV 2010: 375-380 - [c19]Christin Seifert, Vedran Sabol, Michael Granitzer:
Classifier Hypothesis Generation Using Visual Analysis Methods. NDT (1) 2010: 98-111 - [c18]Christin Seifert, Vedran Sabol, Wolfgang Kienreich:
Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations. EuroVAST@EuroVis 2010
2000 – 2009
- 2009
- [j2]Michael Granitzer, Andreas S. Rath, Mark Kröll, Christin Seifert, Doris Ipsmiller, Didier Devaurs, Nicolas Weber, Stefanie N. Lindstaedt:
Machine Learning based Work Task Classification. J. Digit. Inf. Manag. 7(5): 306-313 (2009) - [c17]Elisabeth Lex, Christin Seifert, Michael Granitzer, Andreas Juffinger:
Cross-domain classification: Trade-off between complexity and accuracy. ICITST 2009: 1-6 - [c16]Christin Seifert, Elisabeth Lex:
A Novel Visualization Approach for Data-Mining-Related Classification. IV 2009: 490-495 - 2008
- [j1]Elisabeth Lex, Christin Seifert, Wolfgang Kienreich, Michael Granitzer:
A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data. J. Digit. Inf. Manag. 6(6): 434-441 (2008) - [c15]Michael Granitzer, Mark Kröll, Christin Seifert, Andreas S. Rath, Nicolas Weber, Olivia Dietzel, Stefanie N. Lindstaedt:
Analysis of machine learning techniques for context extraction. ICDIM 2008: 233-240 - [c14]Michael Granitzer, Christin Seifert, Mario Zechner:
Context Based Wikipedia Linking. INEX 2008: 354-365 - [c13]Christin Seifert, Barbara Kump, Wolfgang Kienreich, Gisela Granitzer, Michael Granitzer:
On the Beauty and Usability of Tag Clouds. IV 2008: 17-25 - 2007
- [c12]Haider Ali, Christin Seifert, Nitin Jindal, Lucas Paletta, Gerhard Paar:
Window Detection in Facades. ICIAP 2007: 837-842 - 2006
- [c11]Gerald Fritz, Christin Seifert, Lucas Paletta:
A Mobile Vision System for Urban Detection with Informative Local Descriptors. ICVS 2006: 30 - [c10]Lucas Paletta, Gerald Fritz, Christin Seifert, Patrick Morris Luley, Alexander Almer:
A Mobile Vision Service for Multimedia Tourist Applications in Urban Environments. ITSC 2006: 566-572 - 2005
- [c9]Lucas Paletta, Gerald Fritz, Christin Seifert:
Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q-learning of Grouping Strategies. CVPR Workshops 2005: 94 - [c8]Lucas Paletta, Gerald Fritz, Christin Seifert:
Q-learning of sequential attention for visual object recognition from informative local descriptors. ICML 2005: 649-656 - [c7]Gerald Fritz, Christin Seifert, Lucas Paletta:
Urban Object Recognition from Informative Local Features. ICRA 2005: 131-137 - [c6]Gerald Fritz, Christin Seifert, Manish Kumar, Lucas Paletta:
Building Detection from Mobile Imagery Using Informative SIFT Descriptors. SCIA 2005: 629-638 - [c5]Lucas Paletta, Gerald Fritz, Christin Seifert:
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning. SCIA 2005: 639-648 - 2004
- [c4]Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof:
Rapid Object Recognition from Discriminative Regions of Interest. AAAI 2004: 444-449 - [c3]Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof:
Learning to Focus Attention on Discriminative Regions for Object Detection. ECAI 2004: 932-936 - [c2]Christin Seifert, Lucas Paletta, Andreas Jeitler, Evelyn Hödl, Jean-Philippe Andreu, Patrick Morris Luley, Alexander Almer:
Visual Object Detection for Mobile Road Sign Inventory. Mobile HCI 2004: 491-495 - [c1]Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof:
Attentive Object Detection Using an Information Theoretic Saliency Measure. WAPCV 2004: 29-41
Coauthor Index