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We found 433 hits for your search of '3d'.
  1. Stephan Alaniz

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/stephan-alaniz

    eng %U http://hdl.handle.net/21.11116/0000-0005-626D-3 %U http://papers.nips.cc/paper/9474-modeling-conceptual-understanding-in-image-reference-games %D 2019 %B 33rd Conference on Neural Information Processing [...] M., Dutta, A., Marcos, D., & Akata, Z. (2022). Abstracting Sketches Through Simple Primitives. In Computer Vision -- ECCV 2022 . Tel Aviv, Israel: Springer. doi:10.1007/978-3-031-19818-2_23 [DOI] [PuRe] [...] and Dutta, Anjan and Marcos, Diego and Akata, Zeynep}, LANGUAGE = {eng}, ISBN = {978-3-031-19817-5}, DOI = {10.1007/978-3-031-19818-2_23}, PUBLISHER = {Springer}, YEAR = {2022}, DATE = {2022}, BOOKTITLE =

  2. Ideen und Konzepte der Informatik

    /departments/algorithms-complexity/teaching/winter18/ideen

    2 5.11.2018 Suchen und Sortieren Übung 3 12.11.2018 Websuche Übung 4 19.11.2018 Kürzeste Wege und Navis Übung 5 26.11.2018 Optimierung Dantzig , Stigle r Übung 6 3.12.2018 Kryptographie Übung 7 10.12.2018 [...] Vorlesung beginnt 16:00 und endet um 17:30. Klausur: Mittwoch 20.2.2019, 14:00. Horsaal 002 im Gebäude E1 3 (neues Informatikgebäude). Es sind KEINE Hilfsmittel erlaubt. Klausureinsicht: Nachklausur: Nachkla [...] (ISBN: 9783827419262 ) B. Vöcking, H. Alt, M. Dietzfelbinger, R. Reischuk, C. Scheideler, H. Vollmer, D. Wagner: Taschenbuch der Algorithmen (ISBN: 9783540763932 ) Minsky: The Society of Mind Hofstadter:

  3. Mykhaylo Andriluka

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/mykhaylo-andriluka

    Detection Machine Learning for Computer Vision My recent CV is available here (pdf). Education: Ph.D. in Computer Science (with honors). TU Darmstadt , Germany, 2006-2010 Dipl.-Math. (B.Sc and M.Sc. in [...] the area of human computer interaction (2000) Research Projects Multi-view Pictorial Structures for 3D Human Pose Estimation People Detection and Tracking Publications See list of publications Zeynep Akata

  4. RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

    /departments/computer-vision-and-machine-learning/research/video-segmentation/rgbd-semantic-segmentation-using-spatio-temporal-data-driven-pooling

    single-view prediction. Results Figure 2: Visualization examples on NYUDv2 dataset. Figure 3: Visualization examples on SUN3D dataset. Download Arxiv , Paper , Supplementary Material , Poster Code Pretrained model [...] layer to aggregate information over space and time. We evaluate our approach on NYU-Depth-V2 and the SUN3D datasets and compare it to various state-of-the-art single-view and multi-view approaches. Besides

  5. Learning Non-Maximum Suppression

    /departments/computer-vision-and-machine-learning/research/object-recognition-and-scene-understanding/learning-nms

    for Visual Recognition Recognizing Materials from Virtual Examples MPII Multi-Kinect Dataset Teaching 3D Geometry to Deformable Part Models Image Warping For Face Recognition Addressing scalability in object

  6. Ideen und Konzepte der Informatik

    /departments/algorithms-complexity/teaching/winter17/ideen

    16:15 -- 18:15, E1.3 Hoersaal 001. Es sind KEINE Hilfsmittel erlaubt. Klausureinsicht: Montag 26.2.2018, 14:00 -- 16:30, E1.4, Raum 333. Nachklausur: Montag 19.3.2018, 16:15 -- 18:15, E1.3 Hoersaal 001. Es [...] 16:00, Beginn 7.11. (024) André Nusser (Abgesagt wegen geringer Teilnehmerzahl.) Gruppe 3: Freitag 10:00 - 12:00, Beginn 3.11. (023) Antonios Antoniadis Die Übungen finden im MPI-INF Gebäude E1.4, in Räumen [...] 1 Lösung1 30.10.2017 Rechner Folien Blatt 2 Lösung2 6.11.2017 Suchen und Sortieren Folien Blatt 3 Lösung3 13.11.2017 Websuche Folien Blatt 4 20.11.2017 Kürzeste Wege und Navis Folien Blatt 5 27.11.2017

  7. Ideen und Konzepte der Informatik

    /departments/algorithms-complexity/teaching/winter16/ideen

    Kurt Mehlhorn Zeit und Raum: Montag 24.10.2016, Beginn 16:10 s.t., E1.3 Hoersaal 001 Klausur Montag 13.2.2017, 16:15 -- 18:15, E1.3 Hoersaal 001. Es sind KEINE Hilfsmittel erlaubt. Übungen: Gruppe Kurt: [...] Programme Folien Übung 1 7.11.2016 Rechner Folien Übung 2 14.11.2016 Suchen und Sortieren Folien Übung 3 21.11.2016 Websuche Folien Übung 4 28.11.2016 Kürzeste Wege und Navis Folien Übung 5 5.12.2016 Optimierung [...] (ISBN: 9783827419262 ) B. Vöcking, H. Alt, M. Dietzfelbinger, R. Reischuk, C. Scheideler, H. Vollmer, D. Wagner: Taschenbuch der Algorithmen (ISBN: 9783540763932 ) Minsky: The Society of Mind Hofstadter:

  8. Leonid Pishchulin

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/leonid-pishchulin

    Pishchulin Leonid Pishchulin (PhD Student) Personal Information CV as PDF Research Interests Computer Vision: articulated human pose estimation and people detection, 3D human shape modelling, face recognition [...] learning, energy minimization Data Mining: subspace clustering, cluster quality measures Education Ph.D. student, Computer Science, Max-Planck-Institut für Informatik , Saarbruecken, Germany (2010 - present) [...] Poselet Conditioned Pictorial Structures Articulated people detection and pose estimation Leveraging 3D body model for training data generation Image Warping for Face Recognition Publications See list of

  9. Appearance-Based Gaze Estimation in the Wild

    /departments/computer-vision-and-machine-learning/research/gaze-based-human-computer-interaction/appearance-based-gaze-estimation-in-the-wild

    27~29: 3D gaze target position related to camera Dimension 30~35: The estimated 3D head pose based on 6 points-based 3D face model, rotation and translation: we implement the same 6 points-based 3D face [...] How do you convert 3d directional vector to 2d angle? We refer to the paper [3] for the data normalization. Briefly to say, the 3D gaze direction (x, y, z) can be converted to 2D representation (theta [...] model in [3], which includes the four eye corners and two mouth corners Dimension 36~38: The estimated 3D right eye center in the camera coordiante system. Dimension 39~41: The estimated 3D left eye center

  10. Visual Turing Challenge

    /departments/computer-vision-and-machine-learning/research/vision-and-language/visual-turing-challenge

    (412 occurrences) the 3rd most frequent answer object: lamp (350 occurrences) the most frequent answer number: 2 (554 occurrences) the 2nd most frequent answer number: 3 (327) the 3rd most frequent answer [...] paper. Berkeley LRCN In the experiments I use dev branch with the hashtag: 716262a87f16093af6a76afc3b176d15a963147c Data that contain DAQUAR dataset converted into HDF5 format (data/daquar/h5_data/) Snapshot [...] we also explore different ways of benchmarking the machines on this complex and ambiguous task. In [3] and [4], we provide a wider view on question answering based on images task. We enumerate the challenges