EXC 284:  Multimodal Computing and Interaction. Robust, Efficient and Intelligent Processing of Text, Speech, Visual Data and High Dimensional Representations

• Fachliche Zuordnung: Informatik
• Förderung: Förderung von 2007 bis 2019
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 39134088

• Erstellungsjahr: 2019

Zusammenfassung der Projektergebnisse

Die digitale Gesellschaft hat die Art und Weise, wie wir leben und arbeiten verändert. Digitale Inhalte existieren in verschiedenen Modalitäten, z.B. Text, Audio, Bilder, Video und Augmented Reality. Der Cluster “Multimodal Computing and Interaction” untersuchte, wie man multimodale Inhalte robust, effizient und unter Wahrung der Privatsphäre organisiert, versteht und durchsuchbar macht und wie man zuverlässige Systeme schafft, die eine natürliche und intuitive multimodale Interaktion unterstützen. Im Cluster arbeiteten Forscher der Universität des Saarlandes (Fachbereiche Informatik, Mathematik & Sprachwissenschaften und Technologie), der Max-Planck-Institute für Informatik und für Softwaresysteme und des Deutschen Forschungszentrums für Künstliche Intelligenz zusammen. Der Cluster war sehr erfolgreich • in der Forschung, • in der Qualifizierung junger Wissenschaftler, und • in der Weiterentwicklung der Universität des Saarlandes. Die Forschungsergebnisse bestechen durch Qualität, Anzahl und Interdisziplinarität. Ein Höhepunkt ist die YAGO Wissensbasis, eine erweiterbare Ontologie hoher Qualität und Abdeckung. YAGO enthält mehrere Millionen Fakten über mehrere Millionen Entitäten. Diese wurden automatisch aus Wikipedia extrahiert. Yago ist ein Durchbruch in Qualität und Umfang, war Grundlage für viele Arbeiten im Cluster auf der Schnittstelle zwischen Informatik und Computerlinguistik, und ist die Blaupause für alle nachfolgenden Wissensbasen, etwa von Microsoft oder Google. Die Yago-Publikation wurde bereits mehr als 3000 mal zitiert. Andere Durchbrüche sind unsere Arbeiten zur Erfassung von Bewegungen natürlicher Personen ohne die Verwendung von Markierungen und die Integration von Sprache und Bildverstehen. Der Cluster förderte junge Wissenschaftler durch Programme für unabhängige Nachwuchsgruppen (mit mehr als 50% des Budgets), für Postdocs und Doktoranden. Mehr als 230 Studenten haben im Cluster ihre Doktorarbeit angefertigt und über 200 Nachwuchswissenschaftler wurden auf Universitätsstellen berufen. Alumni des Clusters warben 10 Emmy Noether, 20 ERC Starting und 6 ERC Consolidator Grants ein. Die PIs des Clusters erhielten prestigereiche Auszeichnungen, darunter 1 ERC Synergy, 2 ERC Advanced Grants, und 1 Leibnizpreis. Das Saarland und die Universität des Saarlandes machten beträchtliche Zusagen zur Verstetigung der Clusterforschung. Sie wurden mehr als eingehalten und 11 neue Professuren wurden geschaffen, die die herausragende Stellung der Informatik in der Universität und ihre Verbindung zu anderen Fächern weiter verstärkt haben. Die den Cluster stützenden Institutionen bilden den Saarland Informatics Cluster (SIC). SIC ist durch den Cluster stark gewachsen. Insbesondere, das Center for IT-Security, Privacy, and Accountability (CISPA) wurde 2011 als BMBF-Kompetenzzentrum eingerichtet und 2018 in das Helmholtzzentrum für IT-Sicherheit überführt. SIC ist nun eine in Europa einzigartige Konzentration von Informatikforschung.

Projektbezogene Publikationen (Auswahl)

• PeerReview: practical accountability for distributed systems. In Proceedings of the 21st ACM Symposium on Operating Systems Principles (SOSP), Stevenson, Washington, USA, pages 175–188, 2007
  A. Haeberlen, P. Kouznetsov, and P. Druschel
  (Siehe online unter https://doi.org/10.1145/1294261.1294279)
• Zero-knowledge in the applied pi-calculus and automated verification of the direct anonymous attestation protocol. In 2008 IEEE Symposium on Security and Privacy (S&P 2008), 18-21 May 2008, Oakland, California, USA, pages 202–215, 2008
  M. Backes, M. Maffei, and D. Unruh
  (Siehe online unter https://doi.org/10.1109/SP.2008.23)
• A statistical model of human pose and body shape. Comput. Graph. Forum, 28(2):337–346, 2009
  N. Hasler, C. Stoll, M. Sunkel, B. Rosenhahn, and H.-P. Seidel
  (Siehe online unter https://doi.org/10.1111/j.1467-8659.2009.01373.x)
• Classifier combination for contextual idiom detection without labelled data. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, 6-7 August 2009, Singapore, A meeting of SIGDAT, a Special Interest Group of the ACL, pages 315–323, 2009
  L. Li and C. Sporleder
  (Siehe online unter https://doi.org/10.3115/1699510.1699552)
• GPU ray-casting for scalable terrain rendering. In Proceedings of Eurographics 2009 - Areas Papers, pages 43–50, 2009
  C. Dick, J. Krüger, and R. Westermann
  (Siehe online unter https://doi.org/10.2312/ega.20091007)
• Motion capture using joint skeleton tracking and surface estimation. In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, Florida, USA, pages 1746–1753, 2009
  J. Gall, C. Stoll, E. de Aguiar, C. Theobalt, B. Rosenhahn, and H. Seidel
  (Siehe online unter https://doi.org/10.1109/CVPR.2009.5206755)
• A connection between partial symmetry and inverse procedural modeling. ACM Transactions on GraphicsJuly 2010 Article No.: 104
  M. Bokeloh, M. Wand, and H.-P. Seidel
  (Siehe online unter https://doi.org/10.1145/1778765.1778841)
• Acquisition and analysis of bispectral bidirectional reflectance and reradiation distribution functions. ACM Trans. Graph., 29(4):97:1–97:7, 2010
  M. B. Hullin, J. Hanika, B. Ajdin, H. Seidel, J. Kautz, and H. P. A. Lensch
  (Siehe online unter https://doi.org/10.1145/1778765.1778834)
• Fast routing in very large public transportation networks using transfer patterns. In ESA 2010, pages 290–301, 2010
  H. Bast, E. Carlsson, A. Eigenwillig, R. Geisberger, C. Harrelson, V. Raychev, and F. Viger
  (Siehe online unter https://doi.org/10.1007/978-3-642-15775-2_25)
• High Dynamic Range Imaging: Acquisition, Display, and Image-based Lighting. Elsevier (Morgan Kaufmann), Burlington, MA, 2. ed. edition, 2010
  E. Reinhard, G. Ward, S. Pattanaik, P. Debevec, W. Heidrich, and K. Myszkowski, eds.
  
• Learning script knowledge with web experiments. In J. Hajic, S. Carberry, and S. Clark, editors, ACL 2010, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, July 11-16, 2010, Uppsala, Sweden, pages 979–988. The Association for Computer Linguistics, 2010
  M. Regneri, A. Koller, and M. Pinkal
  
• Optimization of k-space trajectories for compressed sensing by Bayesian experimental design. Magnetic Resonance in Medicine, 63(1):116– 126, 2010
  M. Seeger, H. Nickisch, R. Pohmann, and B. Schölkopf
  (Siehe online unter https://doi.org/10.1002/mrm.22180)
• Partitioning biological data with transitivity clustering. Nature Methods, 7(6):419–420, 2010
  T. Wittkop, D. Emig, S. Lange, S. Rahmann, M. Albrecht, J. H. Morris, S. Böcker, J. Stoye, and J. Baumbach
  (Siehe online unter https://doi.org/10.1038/nmeth0610-419)
• Solving the chemical master equation using sliding windows. BMC Systems Biology, 4:42, 2010
  V. Wolf, R. Goel, M. Mateescu, and T. A. Henzinger
  (Siehe online unter https://doi.org/10.1186/1752-0509-4-42)
• Universally composable quantum multi-party computation. In Advances in Cryptology - EUROCRYPT 2010, 29th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Monaco / French Riviera, May 30 - June 3, 2010. Proceedings, pages 486– 505, 2010
  D. Unruh
  (Siehe online unter https://doi.org/10.1007/978-3-642-13190-5_25)
• A perceptual model for disparity. ACM Transactions on Graphics (Proc. of SIGGRAPH), 30(4), 2011
  P. Didyk, T. Ritschel, E. Eisemann, K. Myszkowski, and H.-P. Seidel
  (Siehe online unter https://doi.org/10.1145/2010324.1964991)
• Assessing the deaf user perspective on sign language avatars. In The 13th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS ’11, Dundee, Scotland, UK, October 24-26, 2011, pages 107–114, 2011
  M. Kipp, Q. Nguyen, A. Héloir, and S. Matthes
  (Siehe online unter https://doi.org/10.1145/2049536.2049557)
• Biq analyzer ht: Locusspecific analysis of dna methylation by high-throughput bisulfite sequencing. Nucleic acids research, 39:W551–556, 5 2011
  P. Lutsik, L. Feuerbach, J. Arand, T. Lengauer, J. Walter, and C. Bock
  (Siehe online unter https://doi.org/10.1093/nar/gkr312)
• Fedx: Optimization techniques for federated query processing on linked data. In International Semantic Web Conference (1), volume 7031 of Lecture Notes in Computer Science, pages 601–616. Springer, 2011
  A. Schwarte, P. Haase, K. Hose, R. Schenkel, and M. Schmidt
  (Siehe online unter https://doi.org/10.1007/978-3-642-25073-6_38)
• Modeling temporal coherence for optical flow. In IEEE International Conference on Computer Vision (ICCV), pages 1116–1123, 2011
  S. Volz, A. Bruhn, L. Valgaerts, and H. Zimmer
  (Siehe online unter https://doi.org/10.1109/ICCV.2011.6126359)
• On the performance of approximate equilibria in congestion games. Algorithmica, 61(1):116–140, 2011
  G. Christodoulou, E. Koutsoupias, and P. G. Spirakis
  (Siehe online unter https://doi.org/10.1007/s00453-010-9449-2)
• Robust disambiguation of named entities in text. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011, 27-31 July 2011, John McIntyre Conference Centre, Edinburgh, UK, A meeting of SIGDAT, a Special Interest Group of the ACL, pages 782–792, 2011
  J. Hoffart, M. A. Yosef, I. Bordino, H. Fürstenau, M. Pinkal, M. Spaniol, B. Taneva, S. Thater, and G. Weikum
  
• Signal processing for music analysis. J. Sel. Topics Signal Processing, 5(6):1088–1110, 2011
  M. Müller, D. P. W. Ellis, A. Klapuri, and G. Richard
  (Siehe online unter https://doi.org/10.1109/JSTSP.2011.2112333)
• Social networks spread rumors in sublogarithmic time. In Proceedings of the 43rd ACM Symposium on Theory of Computing, STOC 2011, San Jose, CA, USA, 6-8 June 2011, pages 21–30, 2011
  B. Doerr, M. Fouz, and T. Friedrich
  (Siehe online unter https://doi.org/10.1145/1993636.1993640)
• Taxonomic metagenome sequence assignment with structured output models. Nature Methods, 8(3):191–192, 2011
  K. R. Patil, P. Haider, P. B. Pope, P. J. Turnbaugh, M. Morrison, T. Scheffer, and A. C. McHardy
  (Siehe online unter https://doi.org/10.1038/nmeth0311-191)
• Toward the blood-borne mirnome of human diseases. Nature methods, 8:841–843, 9 2011
  A. Keller, P. Leidinger, A. Bauer, A. Elsharawy, J. Haas, C. Backes, A. Wendschlag, N. Giese, C. Tjaden, K. Ott, J. Werner, T. Hackert, K. Ruprecht, H. Huwer, J. Huebers, G. Jacobs, P. Rosenstiel, H. Dommisch, A. Schaefer, and E. Meese
  (Siehe online unter https://doi.org/10.1038/nmeth.1682)
• Weisfeiler-Lehman Graph Kernels. Journal of Machine Learning Research (JMLR), 12:2539–2561, 2011
  N. Shervashidze, P. Schweitzer, E. van Leeuwen, K. Mehlhorn, and K. Borgwardt
  
• A bayesian approach to unsupervised semantic role induction. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 12–22. Association for Computational Linguistics, 2012
  I. Titov and A. Klementiev
  
• Large-scale learning of relation-extraction rules with distant supervision from the web. In The Semantic Web–ISWC 2012, pages 263–278. Springer, 2012
  S. Krause, H. Li, H. Uszkoreit, and F. Xu
  (Siehe online unter https://doi.org/10.1007/978-3-642-35176-1_17)
• Obliviad: Provably secure and practical online behavioral advertising. In IEEE Symposium on Security and Privacy, SP 2012, 21-23 May 2012, San Francisco, California, USA, pages 257–271, 2012
  M. Backes, A. Kate, M. Maffei, and K. Pecina
  (Siehe online unter https://doi.org/10.1109/SP.2012.25)
• Sparse PDF maps for non-linear multiresolution image operations. ACM Transactions on Graphics (Proceedings ACM SIGGRAPH, 31(6):133:1–133:12, 2012
  M. Hadwiger, R. Sicat, J. Beyer, J. Krüger, and T. Möller
  (Siehe online unter https://doi.org/10.1145/2366145.2366152)
• Tight bounds for randomized load balancing on arbitrary network topologies. In 53rd Annual IEEE Symposium on Foundations of Computer Science, FOCS 2012, New Brunswick, NJ, USA, October 20-23, 2012, pages 341–350, 2012
  T. Sauerwald and H. Sun
  (Siehe online unter https://doi.org/10.1109/FOCS.2012.86)
• Why rumors spread so quickly in social networks. Commun. ACM, 55(6):70–75, 2012
  B. Doerr, M. Fouz, and T. Friedrich
  (Siehe online unter https://doi.org/10.1145/2184319.2184338)
• A data-driven approach for real-time full body pose reconstruction from a depth camera. In Consumer Depth Cameras for Computer Vision, Research Topics and Applications, pages 71–98. 2013
  A. Baak, M. Müller, G. Bharaj, H. Seidel, and C. Theobalt
  (Siehe online unter https://doi.org/10.1007/978-1-4471-4640-7_5)
• A reconfigurable camera add-on for high dynamic range, multispectral, polarization, and light-field imaging. ACM Transactions on Graphics, 32(4):47–1, 2013
  A. Manakov, J. Restrepo, O. Klehm, R. Hegedus, E. Eisemann, H.-P. Seidel, and I. Ihrke
  (Siehe online unter https://doi.org/10.1145/2461912.2461937)
• Grounding action descriptions in videos. Transactions of the Association for Computational Linguistics, 1:25–36, 2013
  M. Regneri, M. Rohrbach, D. Wetzel, S. Thater, B. Schiele, and M. Pinkal
  (Siehe online unter https://doi.org/10.1162/tacl_a_00207)
• Incremental, predictive parsing with psycholinguistically motivated tree-adjoining grammar. Computational Linguistics, 39(4):1025–1066, 2013
  V. Demberg, F. Keller, and A. Koller
  (Siehe online unter https://doi.org/10.1162/COLI_a_00160)
• Menuoptimizer: Interactive optimization of menu systems. In Proceedings of the 26th annual ACM symposium on User interface software and technology, pages 331–342. ACM, 2013
  G. Bailly, A. Oulasvirta, T. Kötzing, and S. Hoppe
  (Siehe online unter https://doi.org/10.1145/2501988.2502024)
• On-set performance capture of multiple actors with a stereo camera. ACM Transactions on Graphics (Proceedings SIGGRAPH Asia), 32(6):161, 2013
  C. Wu, C. Stoll, L. Valgaerts, and C. Theobalt
  (Siehe online unter https://doi.org/10.1145/2508363.2508418)
• Translating video content to natural language descriptions. In IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1–8, 2013, pages 433–440, 2013
  M. Rohrbach, W. Qiu, I. Titov, S. Thater, M. Pinkal, and B. Schiele
  (Siehe online unter https://doi.org/10.1109/ICCV.2013.61)
• YAGO2: A spatially and temporally enhanced knowledge base from wikipedia. Artif. Intell., 194:28–61, 2013
  J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum
  (Siehe online unter https://doi.org/10.1016/j.artint.2012.06.001)
• A Framework for the Verification of Certifying Computations. J. of Automated Reasoning (JAR), 52(3):241–273, 2014
  E. Alkassar, S. Böhme, K. Mehlhorn, and C. Rizkallah
  (Siehe online unter https://doi.org/10.1007/s10817-013-9289-2)
• Comprehensive analysis of dna methylation data with rnbeads. Nature methods, 11:1138–1140, 9 2014
  Y. Assenov, F. Müller, P. Lutsik, J. Walter, T. Lengauer, and C. Bock
  (Siehe online unter https://doi.org/10.1038/NMETH.3115)
• Controlling elections with bounded single-peaked width. In International conference on Autonomous Agents and Multi-Agent Systems, AAMAS ’14, Paris, France, May 5-9, 2014, pages 629–636, 2014
  Y. Yang and J. Guo
  
• Multilinear wavelets: A statistical shape space for human faces. In D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, editors, Computer Vision – ECCV 2014, pages 297–312, Cham, 2014. Springer International Publishing
  A. Brunton, T. Bolkart, and S. Wuhrer
  (Siehe online unter https://doi.org/10.1007/978-3-319-10590-1_20)
• On-line learning of parametric mixture models for light transport simulation. ACM Trans. Graph., 33(4):101:1–101:11, 2014
  J. Vorba, O. Karlík, M. Sik, T. Ritschel, and J. Krivánek
  (Siehe online unter https://doi.org/10.1145/2601097.2601203)
• People on drugs: credibility of user statements in health communities. In The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’14, New York, NY, USA - August 24 - 27, 2014, pages 65–74, 2014
  S. Mukherjee, G. Weikum, and C. Danescu-Niculescu-Mizil
  (Siehe online unter https://doi.org/10.1145/2623330.2623714)
• Relating shapes via geometric symmetries and regularities. ACM Trans. Graph. (Proceedings Siggraph 2014), 33(4):119:1–119:12, 2014
  A. Tevs, Q. Huang, M. Wand, H. Seidel, and L. J. Guibas
  (Siehe online unter https://doi.org/10.1145/2601097.2601220)
• SurfacePhone: A mobile projection device for single- and multiuser everywhere tabletop interaction. In Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pages 3513–3522. ACM, 2014
  C. Winkler, M. Löchtefeld, D. Dobbelstein, A. Krüger, and E. Rukzio
  (Siehe online unter https://doi.org/10.1145/2556288.2557075)
• Tracking set correlations at large scale. In International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014, pages 1507–1518, 2014
  F. Alvanaki and S. Michel
  (Siehe online unter https://doi.org/10.1145/2588555.2610510)
• Understanding, optimising, and extending data compression with anisotropic diffusion. International Journal of Computer Vision, 108(3):222–240, July 2014
  C. Schmaltz, P. Peter, M. Mainberger, F. Ebel, J. Weickert, and A. Bruhn
  (Siehe online unter https://doi.org/10.1007/s11263-014-0702-z)
• Why walking the dog takes time: Frechet distance has no strongly subquadratic algorithms unless SETH fails. In 55th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2014, Philadelphia, PA, USA, October 18-21, 2014, pages 661–670, 2014
  K. Bringmann
  (Siehe online unter https://doi.org/10.1109/FOCS.2014.76)
• A flexible tensor block coordinate ascent scheme for hypergraph matching. In CVPR, 2015
  Q. Nguyen, A. Gautier, and M. Hein
  (Siehe online unter https://doi.org/10.1109/CVPR.2015.7299164)
• Ask your neurons: A neural-based approach to answering questions about images. In IEEE International Conference on Computer Vision (ICCV), 2015
  M. Malinowski, M. Rohrbach, and M. Fritz
  (Siehe online unter https://doi.org/10.1109/ICCV.2015.9)
• Constructing linear-sized spectral sparsification in almost-linear time. In IEEE 56th Annual Symposium on Foundations of Computer Science, FOCS 2015, Berkeley, CA, USA, 17-20 October, 2015, pages 250–269, 2015
  Y. T. Lee and H. Sun
  (Siehe online unter https://doi.org/10.1109/FOCS.2015.24)
• Identification of hnrnpk as regulator of hepatitis c virus particle production. PLoS Pathogens, 11(1):1–21, 1 2015
  M. Poenisch, P. Metz, H. Blankenburg, A. Ruggieri, J.-Y. Lee, D. Rupp, I. Rebhan, K. Diederich, L. Kaderali, F. S. Domingues, M. Albrecht, V. Lohmann, H. Erfle, and R. Bartenschlager
  (Siehe online unter https://doi.org/10.1371/journal.ppat.1004573)
• Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery. Bioinformatics (Oxford, England), 31:i268– i275, 6 2015
  N. Speicher and N. Pfeifer
  (Siehe online unter https://doi.org/10.1093/bioinformatics/btv244)
• iskin: Flexible, stretchable and visually customizable on-body touch sensors for mobile computing. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Republic of Korea, April 18-23, 2015, pages 2991–3000, 2015
  M. Weigel, T. Lu, G. Bailly, A. Oulasvirta, C. Majidi, and J. Steimle
  (Siehe online unter https://doi.org/10.1145/2702123.2702391)
• Liar, liar, coins on fire!: Penalizing equivocation by loss of bitcoins. In Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, Denver, CO, USA, October 12-16, 2015, pages 219–230, 2015
  T. Ruffing, A. Kate, and D. Schröder
  (Siehe online unter https://doi.org/10.1145/2810103.2813686)
• A platform for privacy-compliant image capture. In Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), Singapore, pages 235–248, 2016
  P. Aditya, R. Sen, P. Druschel, S. J. Oh, R. Benenson, M. Fritz, B. Schiele, B. Bhattacharjee, and T. T. Wu. I-Pic
  (Siehe online unter https://doi.org/10.1145/2906388.2906412)
• Ascending-price algorithms for unknown markets. In Proceedings of the 2016 ACM Conference on Economics and Computation, EC ’16, Maastricht, The Netherlands, July 24-28, 2016, page 699, 2016
  X. Bei, J. Garg, and M. Hoefer
  (Siehe online unter https://doi.org/10.1145/3319394)
• Challenges in designing and implementing adaptive ambient notification environments. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pages 1578–1583. ACM, 2016
  F. Wiehr, A. Voit, D. Weber, S. Gehring, C. Witte, D. Kärcher, N. Henze, and A. Krüger
  (Siehe online unter https://doi.org/10.1145/2968219.2968552)
• Combining transcription factor binding affinities with openchromatin data for accurate gene expression prediction. Nucleic Acids Research, 45(1):54–66, 11 2016
  F. Schmidt, N. Gasparoni, G. Gasparoni, K. Gianmoena, C. Cadenas, J. K. Polansky, P. Ebert, K. Nordström, M. Barann, A. Sinha, S. Fröhler, J. Xiong, A. Dehghani Amirabad, F. Behjati Ardakani, B. Hutter, G. Zipprich, B. Felder, J. Eils, B. Brors, W. Chen, J. G. Hengstler, A. Hamann, T. Lengauer, P. Rosenstiel, J. Walter, and M. H. Schulz
  (Siehe online unter https://doi.org/10.1093/nar/gkw1061)
• Computing real roots of real polynomials. J. Symb. Comput., 73:46– 86, 2016
  M. Sagraloff and K. Mehlhorn
  (Siehe online unter https://doi.org/10.1016/j.jsc.2015.03.004)
• Deepercut: A deeper, stronger, and faster multi-person pose estimation model. In European Conference on Computer Vision (ECCV), 2016
  E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele
  (Siehe online unter https://doi.org/10.1007/978-3-319-46466-4_3)
• Empress: Practical hand gesture classification with wrist-mounted emg and pressure sensing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pages 2332–2342. ACM, 2016
  J. McIntosh, C. McNeill, M. Fraser, F. Kerber, M. Löchtefeld, and A. Krüger
  (Siehe online unter https://doi.org/10.1145/2858036.2858093)
• Globally optimal training of generalized polynomial neural networks with nonlinear spectral methods. In Advances in Neural Information Processing Systems 29 (NIPS), 2016
  A. Gautier, Q. Nguyen, and M. Hein
  
• Identifying the scan and attack infrastructures behind amplification ddos attacks. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, Vienna, Austria, October 24-28, 2016, pages 1426–1437, 2016
  J. Krupp, M. Backes, and C. Rossow
  (Siehe online unter https://doi.org/10.1145/2976749.2978293)
• Membership privacy in microrna-based studies. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, Vienna, Austria, October 24-28, 2016, pages 319–330, 2016
  M. Backes, P. Berrang, M. Humbert, and P. Manoharan
  (Siehe online unter https://doi.org/10.1145/2976749.2978355)
• Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs. J. Web Semant., 37-38:112–131, 2016
  S. Krause, L. Hennig, A. Moro, D. Weissenborn, F. Xu, H. Uszkoreit, and R. Navigli
  (Siehe online unter https://doi.org/10.1016/j.websem.2016.03.004)
• The cityscapes dataset for semantic urban scene understanding. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
  M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele
  (Siehe online unter https://doi.org/10.1109/CVPR.2016.350)
• The frequency of rapid pupil dilations as a measure of linguistic processing difficulty. PLoS One, 11(1):1–29, 1 2016
  V. Demberg and A. Sayeed
  (Siehe online unter https://doi.org/10.1371/journal.pone.0146194)
• The linguistic construal of disciplinarity: A data-mining approach using register features. JASIST, 67(7):1668– 1678, 2016
  E. Teich, S. Degaetano-Ortlieb, P. Fankhauser, H. Kermes, and E. Lapshinova-Koltunski
  (Siehe online unter https://doi.org/10.1002/asi.23457)
• What makes for effective detection proposals? IEEE Trans. Pattern Anal. Mach. Intell., 38(4):814–830, 2016
  J. H. Hosang, R. Benenson, P. Dollár, and B. Schiele
  (Siehe online unter https://doi.org/10.1109/TPAMI.2015.2465908)
• A near-linear pseudopolynomial time algorithm for subset sum. In Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017, Barcelona, Spain, Hotel Porta Fira, January 16-19, pages 1073–1084, 2017
  K. Bringmann
  (Siehe online unter https://doi.org/10.1137/1.9781611974782.69)
• A neurocomputational model of the n400 and the p600 in language processing. Cognitive Science, 41:1318–1352, 2017
  H. Brouwer, M. W. Crocker, N. J. Venhuizen, and J. C. J. Hoeks
  (Siehe online unter https://doi.org/10.1111/cogs.12461)
• Dense and accurate whole-chromosome haplotyping of individual genomes. Nature Communications, 8:1293, 12 2017
  D. Porubsky, S. Garg, A. Sanders, J. Korbel, V. Guryev, P. Lansdorp, and T. Marschall
  (Siehe online unter https://doi.org/10.1038/s41467-017-01389-4)
• Discovering reliable approximate functional dependencies. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, pages 355–363, 2017
  P. Mandros, M. Boley, and J. Vreeken
  (Siehe online unter https://doi.org/10.1145/3097983.3098062)
• Footstriker: A wearable ems-based foot strike assistant for running. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, pages 421–424. ACM, 2017
  F. Daiber, F. Kosmalla, F. Wiehr, and A. Krüger
  (Siehe online unter https://doi.org/10.1145/3053332)
• Homomorphisms are a good basis for counting small subgraphs. In H. Hatami, P. McKenzie, and V. King, editors, Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017, Montreal, QC, Canada, June 19-23, 2017, pages 210–223. ACM, 2017
  R. Curticapean, H. Dell, and D. Marx
  (Siehe online unter https://doi.org/10.1145/3055399.3055502)
• Keep me updated: An empirical study of third-party library updatability on android. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30 - November 03, 2017, pages 2187–2200, 2017
  E. Derr, S. Bugiel, S. Fahl, Y. Acar, and M. Backes
  (Siehe online unter https://doi.org/10.1145/3133956.3134059)
• Marconi - convnet-based marker-less motion capture in outdoor and indoor scenes. IEEE Trans. Pattern Anal. Mach. Intell., 39(3):501–514, 2017
  A. Elhayek, E. de Aguiar, A. Jain, J. Tompson, L. Pishchulin, M. Andriluka, C. Bregler, B. Schiele, and C. Theobalt
  (Siehe online unter https://doi.org/10.1109/tpami.2016.2557779)
• Modeling semantic expectations: Using script knowledge for referent prediction. Transactions of ACL, 2017
  A. Modi, I. Titov, V. Demberg, A. Sayeed, and M. Pinkal
  (Siehe online unter https://doi.org/10.1162/tacl_a_00044)
• MoFA: Modelbased deep convolutional face autoencoder for unsupervised monocular reconstruction. In IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, pages 3735–3744, 2017
  A. Tewari, M. Zollhöfer, H. Kim, P. Garrido, F. Bernard, P. Pérez, and C. Theobalt
  (Siehe online unter https://doi.org/10.1109/ICCVW.2017.153)
• Shifty: A weight-shifting dynamic passive haptic proxy to enhance object perception in virtual reality. IEEE transactions on visualization and computer graphics, 23(4):1285– 1294, 2017
  A. Zenner and A. Krüger
  (Siehe online unter https://doi.org/10.1109/TVCG.2017.2656978)
• Synthesis of tongue motion and acoustics from text using a multimodal articulatory database. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25(12):2351–2361, Dec. 2017
  I. Steiner, S. Le Maguer, and A. Hewer
  (Siehe online unter https://doi.org/10.1109/TASLP.2017.2756818)
• The Handbook of Multimodal- Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations. Morgan & Claypool, 2017
  S. Oviatt, B. Schuller, P. Cohen, P. G. Sonntag, Daniel, and A. Krüger
  (Siehe online unter https://doi.org/10.1145/3015783)
• VNect: real-time 3d human pose estimation with a single RGB camera. ACM Trans. Graph., 36(4):44:1–44:14, 2017
  D. Mehta, S. Sridhar, O. Sotnychenko, H. Rhodin, M. Shafiei, H. Seidel, W. Xu, D. Casas, and C. Theobalt
  (Siehe online unter https://doi.org/10.1145/3072959.3073596)
• Anydsl: A partial evaluation framework for programming high-performance libraries. Proc. ACM Program. Lang., 2(OOPSLA):119:1–119:30, Oct. 2018
  R. Leißa, K. Boesche, S. Hack, A. Pérard-Gayot, R. Membarth, P. Slusallek, A. Müller, and B. Schmidt
  (Siehe online unter https://doi.org/10.1145/3276489)
• Chromatyping: Reconstructing nucleosome profiles from nome sequencing data. In B. J. Raphael, editor, Research in Computational Molecular Biology, pages 21–36, Cham, 2018. Springer International Publishing
  S. Chakraborty, S. Canzar, T. Marschall, and M. H. Schulz
  (Siehe online unter https://doi.org/10.1007/978-3-319-89929-9_2)
• Secloak: ARM trustzone-based mobile peripheral control. In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2018, Munich, Germany, June 10-15, 2018, pages 1–13, 2018
  M. Lentz, R. Sen, P. Druschel, and B. Bhattacharjee
  (Siehe online unter https://doi.org/10.1145/3210240.3210334)
• Towards efficient human–machine collaboration: effects of gaze-driven feedback and engagement on performance. Cognitive research: principles and implications, 3(1):51, 2018
  N. Mitev, P. Renner, T. Pfeiffer, and M. Staudte
  (Siehe online unter https://doi.org/10.1186/s41235-018-0148-x)
• Face2face: real-time face capture and reenactment of RGB videos. Commun. ACM, 62(1):96–104, 2019
  J. Thies, M. Zollhöfer, M. Stamminger, C. Theobalt, and M. Nießner
  (Siehe online unter https://doi.org/10.1145/3292039)
• Influence of speakers’ gaze on situated language comprehension: Evidence from event-related potentials. Brain and Cognition, 135, 2019
  T. Jachmann, H. Drenhaus, M. Staudte, and M. W. Crocker
  (Siehe online unter https://doi.org/10.1016/j.bandc.2019.05.009)
• Luminance-contrast-aware foveated rendering. ACM Trans. Graph., 38(4):98:1–98:14, 2019
  O. T. Tursun, E. Arabadzhiyska-Koleva, M. Wernikowski, R. Mantiuk, H. Seidel, K. Myszkowski, and P. Didyk
  (Siehe online unter https://doi.org/10.1145/3306346.3322985)
• Mpiigaze: Real-world dataset and deep appearancebased gaze estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(1):162–175, 2019
  X. Zhang, Y. Sugano, M. Fritz, and A. Bulling
  
• Optimal multiple importance sampling. ACM Trans. Graph. (Proceedings Siggraph 2019), 38(4):37:1–37:14, July 2019
  I. Kondapaneni, P. Vevoda, P. Grittmann, T. Skřivan, P. Slusallek, and J. Křivánek
  (Siehe online unter https://doi.org/10.1145/3306346.3323009)
• Rodent: Generating renderers without writing a generator. ACM Trans. Graph. Proceedings Siggraph 2019), 38(4):40:1–40:12, July 2019
  A. Pérard-Gayot, R. Membarth, R. Leißa, S. Hack, and P. Slusallek
  (Siehe online unter https://doi.org/10.1145/3306346.3322955)
• Sequential and Parallel Algorithms and Data Structures – The Basic Toolbox. Springer, 2019. 509 pages
  P. Sanders, K. Mehlhorn, M. Dietzfelbinger, and R. Dementiev
  (Siehe online unter https://doi.org/10.1007/978-3-030-25209-0)
• Yet another low-level agent handler. Computer Animation and Virtual Worlds (CAVW), 30:1891, 2019
  F. Nunnari and A. Heloir
  (Siehe online unter https://doi.org/10.1002/cav.1891)