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et al., ICCV'13 74.3 49.0 40.8 34.1 36.5 34.4 35.2 44.1 Tompson et al., NIPS'14 95.8 90.3 80.5 74.3 77.6 69.7 62.8 79.6 Carreira et al., CVPR'16 95.7 91.7 81.7 72.4 82.8 73.2 66.4 81.3 Tompson et al., CVPR'15 [...] 9 72.3 64.8 82.0 Hu&Ramanan., CVPR'16 95.0 91.6 83.0 76.6 81.9 74.5 69.5 82.4 Pishchulin et al., CVPR'16 * 94.1 90.2 83.4 77.3 82.6 75.7 68.6 82.4 Lifshitz et al., ECCV'16 97.8 93.3 85.7 80.4 85.3 76.6 [...] 95.1 89.9 85.3 89.4 85.7 81.7 89.7 Newell et al., ECCV'16 98.2 96.3 91.2 87.1 90.1 87.4 83.6 90.9 Tang et al., ECCV'18 97.4 96.4 92.1 87.7 90.2 87.7 84.3 91.2 Ning et al., TMM'17 98.1 96.3 92.2 87.8 90

2009) Fabian M. Suchanek "Automated Construction and Growth of a Large Ontology" ( pdf , abstract ) PhD-Thesis People Suchanek, Fabian Sozio, Mauro Weikum, Gerhard AIDA AMIE ANGIE BriQ ClausIE DEANNA diaNED [...] Javatools K2 Know2Look Le Monde LEILA NAGA patty PATTY PRAVDA PROSPERA Quantity Search Qsearch QuTE QL RDF-3X RuLES SOFIE STICS TimeSEA UWN Watermarking YAGO Overview Demo Downloads Statistics Publications Linking

inequalities that describe a slightly rotated square [3] Benchmarks tested in "A Reduction from Unbounded Linear Mixed Arithmetic Problems into Bounded Problems" [3]: UnbdLIB the partially unbounded, linear integer [...] value of any randomly generated number; and d, the density of any randomly created matrix or vector. (The benchmarks we created are 125 problems with a=4, d=0.75, and (n,m) \in {(10,15),(25,30),(50,55) [...] Double-Bounded reduction and the Mixed-Echelon-Hermite transformation and detailed experiments see [3]. The transformations are by default turned on in SPASS-IQ. Input Format As input format, SPASS-IQ uses

analysis-subscribe] in the subject. Lecturer(s): Dr. Paul Swoboda TA(s): Ahmed Abbas (office hour: Fridays 3:30 pm - 5:30 pm, contact by email ahmed.abbas[at]mpi-inf.mpg.de ) Literature: Rockafellar: Convex Analysis [...] Nesterov: Introductory Lectures on Convex Optimization - A Basic Course. Kluwer Academic Publishers, 2004 D. P. Bertsekas: Convex Analysis and Optimization. Athena Scientific, 2003 S. Boyd: Convex Optimization

generation paradigms, as well as recent advances in generative modeling for solving inverse problems in 2D and 3D computer vision, such as conditional object and scene generation/reconstruction, novel view synthesis

inverse rendering (estimation of material and lighting properties), machine learning methods to support 3D/4D reconstruction, new cameras and sensors, methods of semantic video processing, and methods of image-based [...] e at the University of Edinburgh, his M.Sc. in Computer Science at Saarland University and his Eng.D. from the Max Planck Institute for Computer Science and Saarland University. In his research, he deals [...] frontier of computer graphics and computer vision. In particular, he does research on: Algorithms for 3D reconstruction of static and dynamic scenes, virtual and augmented reality, markerless motion capture

of machine learning. This made it possible, for example, to develop the first methods to measure the 3D motion of people in real time, with only one camera, and without special suits. The work of Christian

Science, Computer Vision and Pattern Recognition, cs.CV arXiv PuRe BibTeX pre-print version 2015 3 Conference paper D2 N. Koleva, S. Hoppe, M. M. Moniri, M. Staudte, and A. Bulling “On the Interplay between [...] Behaviour in an Indoor Guidance Task : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-64D9-4 %D 2015 %B 37th Annual Meeting of the Cognitive Science Society %Z date of event: 2015-07-23 - 2015-07-25 [...] Computer Vision and Machine Learning People Alumni and Former Members Sabrina Hoppe Sabrina Hoppe (PhD Student) MSc Sabrina Hoppe Address Max-Planck-Institut für Informatik Saarland Informatics Campus Campus

for light field 3D printing. We develop a continuous space pipeline that allows optmizing the light field imagery in a full 3D space. Previous methods were mostly limited to optimizing in 2D subspaces (as [...] Graphics Research Sampling and Rendering Sampling and Rendering Leader of the group: Gurprit Singh, PhD Vision and Research Strategy We are working at the frontiers of sampling, human perception and Monte [...] rendering. We also recently demonstrate the impact of sample correlations for deep implicit field-based 3D reconstruction from a single image, which was published in ECCV 2020 for Oral presentation (2% acceptance)

EGAN-D2_A_Feature_Generating_Framework_for_Any-Shot_Learning_CVPR_2019_paper.html DOI PuRe BibTeX 3 Conference paper D2 S. Sharma, P. T. Varigonda, P. Bindal, A. Sharma, and A. Jain “Monocular 3D Human [...] - 100 %I Springer %@ 978-3-030-71277-8 %B Lecture Notes in Computer Science DOI PuRe BibTeX 2019 2 Conference paper D2 Y. Xian, S. Sharma, B. Schiele, and Z. Akata “f-VAEGAN-D2: A Feature Generating Framework [...] Saurabh and Yu, Ning and Fritz, Mario and Schiele, Bernt}, LANGUAGE = {eng}, ISBN = {978-3-030-71277-8}, DOI = {10.1007/978-3-030-71278-5_7}, PUBLISHER = {Springer}, YEAR = {2020}, DATE = {2021}, BOOKTITLE =