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We found 430 hits for your search of '3d'.
  1. Markerless Reconstruction of Dynamic Scenes

    /news/spotlight-articles/understanding-images-videos/markerless-reconstruction-of-dynamic-scenes

    sensors is also highly important for autonomous robots and vehicles. It is also the precondition for 3D video and virtual replay production in TV broadcasting. Reconstruction of human motion, in particular [...] such as dynamic 3D scene reconstruction and marker-less motion capture, computer animation, appearance and reflectance modeling, machine learning for graphics and vision, new sensors for 3D acquisition, advanced [...] detailed marker-less skeletal motion capture of humans and animals in outdoor scenes with few cameras (2 – 3). Another milestone was the development of new inverse rendering algorithms that allow us to measure

  2. Markerless Performance Capture

    /news/spotlight-articles/software/markerless-performance-capture

    game industries. Virtual actors (avatars) are fundamental components of special effects and virtual 3D worlds. With respect to commercially-available motion capture methods, marker- based optical methods [...] reconstruction, can be integrated in the new method. In this way, in addition to the skeletal movement, a 3D surface reconstruction of the person can be captured (so-called performance capture). Here a complex [...] 9325-4004 Email stoll@mpi-inf.mpg.de EpiExplorer and RnBeads: Integrative Analysis of Epigenomic Data RDF-3X – Fast Searches for Semantic Data Markerless Performance Capture

  3. Margret Keuper

    /departments/computer-vision-and-machine-learning/people/margret-keuper

    %@ 978-3-031-73635-3 %B Lecture Notes in Computer Science %N 15116 %U https://rdcu.be/d2ndn DOI PuRe BibTeX publisher version 2 Conference paper D2 U. A. Kaplan, Y. Li, M. Keuper, A. Khoreva, and D. Zhang [...] 638 %I Springer %@ 978-3-031-54604-4 978-3-031-54605-1 %B Lecture Notes in Computer Science %N 14264 %U https://rdcu.be/dErn5 DOI PuRe BibTeX publisher version 27 Conference paper D2 T. Medi, J. Tayyub, [...] - 162 %I Springer %@ 978-3-031-54604-4 978-3-031-54605-1 %B Lecture Notes in Computer Science %N 14264 %U https://rdcu.be/dErAg DOI PuRe BibTeX publisher version 28 Article D2 J. Lukasik, P. Gavrikov,

  4. Marek Sokolowski

    /departments/algorithms-complexity/people/current-members/marek-sokolowski

    Ph. D. student at the University of Warsaw, Faculty of Informatics, Mathematics, and Mechanics Dissertation title: Efficient Data Structures and Graph Width Parameters (compiles papers: [1] [2] [3] [4]

  5. Marcus Rohrbach

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/marcus-rohrbach

    Qiu (Master Thesis) Sikandar Amin (PhD Student in Munich) Anna Senina (Intern, now PhD Student) Hessameddin Alibabaie (Intern) Reza Bahmanyar (Master Thesis, now PhD Student @ DLR ) Wandi Susanto (Master) [...] Dataset MPII Cooking Composite Activities MPII Multi-Kinect Dataset Multi-view Pictorial Structures for 3D Human Pose Estimation Semantic Relatedness for Knowledge Transfer Publications Please see my Google

  6. Maksim Lapin

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/maksim-lapin

    net/11858/00-001M-0000-002D-9345-9 %U urn:nbn:de:bsz:291-scidok-69098 %R 10.22028/D291-26775 %F OTHER: hdl:20.500.11880/26788 %I Universität des Saarlandes %C Saarbrücken %D 2017 %P 227 p. %V phd [...] Neural Information Processing Systems 28 (NIPS 2015)}, EDITOR = {Cortes, C. and Lawrence, N. D. and Lee, D. D. and Sugiyama, M. and Garnett, R.}, PAGES = {1189--1197}, ADDRESS = {Montr{\'e}al, Canada}, [...] , Canada %B Advances in Neural Information Processing Systems 28 %E Cortes, C.; Lawrence, N. D.; Lee, D. D.; Sugiyama, M.; Garnett, R. %P 1189 - 1197 %I Curran %@ 9781510825024 %U https://papers.nips.

  7. Making computers know how much they know.

    /news/spotlight-articles/2020/making-computers-know-how-much-they-know

    sentences in the figure. From these two sentences, text extraction (NLP) methods can easily extract 5 and 3 districts of New York and Hong Kong, respectively. Would the machine then know all districts? In our [...] Kong is divided into 17 districts'' would provide the crucial cue: The listed names thus represent 3 of the 17 districts. Our method relies on sequence tagging algorithms such as CRFs and LSTMs, and can [...] Counting Quantifiers. Paramita Mirza, Simon Razniewski, Fariz Darari and Gerhard Weikum. ISWC 2018 [3] Coverage of Information Extraction from Sentences and Paragraphs. Simon Razniewski, Nitisha Jain, Paramita

  8. MPII Movie Description dataset

    /departments/computer-vision-and-machine-learning/research/vision-and-language/mpii-movie-description-dataset

    "Large Scale Movie Description and Understanding Challenge" here . When using this data, please cite [3]. New! Dataset for Grounded and Co-Referenced Characters See our new Dataset for Grounded and Co-Referenced [...] Marcus and Schiele, Bernt}, booktitle={ German Conference on Pattern Recognition (GCPR)}, year={2015}} [3] Movie Description , Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Chris Pal, Hugo Larochelle [...] al Journal of Computer Vision}, year = {2017}, url = {http://resources.mpi-inf.mpg.de/publications/D1/2016/2310198.pdf}} [4] Generating Descriptions with Grounded and Co-Referenced People , A. Rohrbach

  9. MPII Human Pose Dataset

    /departments/computer-vision-and-machine-learning/software-and-datasets/mpii-human-pose-dataset

    frames. In addition, for the test set we obtained richer annotations including body part occlusions and 3D torso and head orientations. Following the best practices for the performance evaluation benchmarks [...] author = {Mykhaylo Andriluka and Leonid Pishchulin and Peter Gehler and Schiele, Bernt} title = {2D Human Pose Estimation: New Benchmark and State of the Art Analysis}, booktitle = {IEEE Conference on

  10. MPII Cooking Activities Dataset

    /departments/computer-vision-and-machine-learning/research/human-activity-recognition/mpii-cooking-activities-dataset

    contain ids where to find them in full dataset. 13/09/25: added continous pose challenge 13/09/20: added 3D pose challenge [2] 13/09: added detection results for download Download License The data is only to [...] Video features dense trajectory features ( raw features 391GB) trajectory (4.0 GB) hog (4.1 GB) hof (3.9 GB) mbh (4.1 GB) pose features bm (1.6 GB) fft (1.2 GB) intermediate pose features (pose, tracks, [...] ground truth annotations Pose challenge Images, annotations, and evaluation code (version 1.2, 360 MB) 3D pose challenge [2] Continous pose challenge Continous frames labeled with human pose (no published