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

• Subject Area: Computer Science
• Term: from 2007 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 39134088

• Final Report Year: 2019

Final Report Abstract

The advent of the digital society has brought dramatic changes in the way we live and work. Digital content is available in different modalities such as text, audio, images, and video, The cluster has addressed the challenge to organize, understand, and search multimodal information in a robust, efficient, intelligent, and privacy preserving manner, and to create dependable systems that support natural and intuitive multimodal interaction. It comprised researchers from Saarland University (computer science, mathematics, and language science and technology), the Max Planck Institutes for Informatics and for Software Systems, and the German Research Center for Artificial Intelligence. It has been tremendously successful along the following axes:  Research output.  Qualification of young scientists.  Impact on the development of Saarland University. The research output is highly impressive in quality, numbers, and collaboration across research areas. A highlight of our work is the YAGO knowledge base. YAGO contains several million facts about more than a million entities, extracted automatically from Wikipedia. It is a breakthrough in quality and quantity. It was basic to much of the research done in the cluster on the interface between computer science and computational linguistics, and it is the blueprint for all knowledge bases built since then, e.g. by Google and Microsoft. The paper has been cited already more than 3000 times. Other highlights are our work on markerless performance capture and on visual grounding of semantic concepts. The cluster promoted early career researchers through its independent research group program (more than 50% of the funds went into this program) and its postdoc and PhD programs. More than 230 students did their PhD work in the cluster and more than 200 early career researchers of the cluster moved on to faculty positions worldwide. Alumni of the cluster have received 10 DFG Emmy Noether grants, 20 ERC starting and 6 ERC Consolidator grants. The PIs and senior researchers of the cluster also received prestigious grants and awards, e.g., one ERC synergy, five ERC advanced grants, and one Leibniz award. Saarland University and the Saarland had made a substantial sustainabilty commitment; it was more than fulfilled and 11 high-profile appointments at the full and associate professor level have been made, further strengthening informatics as the flagship discipline of the university and further deepening its connection to other disciplines. The institutions participating in the cluster form the Saarland Informatics Cluster (SIC). During the lifetime of the cluster, SIC has grown substantially. In particular, the Center for IT-Security, Privacy, and Accountability (CISPA) was established as a BMBF competence center in 2011 and became the CISPA Helmholtz Center for IT-Security in 2018. SIC is now a unique concentration of informatics research in Europe.

Publications

• 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at 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
  (See online at https://doi.org/10.1002/cav.1891)