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
Research Interests Pedestrian detection, object recognition, shape models, machine learning Education PhD Thesis: Pedestrian Detection in Crowded Street Scenes, TU Darmstadt, Germany, 2007 Dipl.-Inform. (M [...] 2002 Short-Bio Research Experience INRIA Sophia Antipolis, France, 2001 - Automatic segmentation of 3D surfaces Carnegie Mellon University, USA, 2001 - Pen-based gesture recognition SAP Corporate Research
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
main navigation Institute D1 Algorithms & Complexity D2 Computer Vision and Machine Learning D3 Internet Architecture D4 Computer Graphics D5 Databases and Information Systems D6 Visual Computing and Artificial [...] Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Computer Graphics People D4/D6 Joint Talk Series "CG-Lunch" Research HDR Imaging, Perception, and Advanced [...] and Thomas Ertl Applications of pixel textures in visualization and realistic image synthesis In: SI3D, 1999 Wolfgang Heidrich and Hans-Peter Seidel Realistic, Hardware-Accelerated Shading and Lighting
Interests Computer Vision, Object recognition Machine learning, Statistical decision theory Education Ph. D. student in Computer Science at the Max-Planck-Institut für Informatik and the Universität des Saarlandes [...] Sandanski Strumica, Macedonia Research Projects Addressing scalability in object recognition Teaching 3D Geometry to Deformable Part Models Publications See list of publications Zeynep Akata Stephan Alaniz
interests: Object Recognition and Categorization in Computer Vision, especially in combination with 3D Estimation and Tracking; Top-down Segmentation; Machine Learning. Education: Dr. Sc. techn.ETH Zurich
PuRe BibTeX pre-print version 40 Paper D2 Y.-H. Wu, D. Zhang, L. Zhang, X. Zhan, D. Dai, Y. Liu, and M.-M. Cheng “Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes,” [...] cc/2023/Conference#poster %U https://openreview.net/forum?id=vqSyt8D3ny PuRe BibTeX fulltext version 3 Conference paper D2 A. Das, Y. Xian, D. Dai, and B. Schiele “Weakly-Supervised Domain Adaptive Semantic [...] Belgrave, D.; Cho, K.; Oh, A. %P 6531 - 6543 %I Curran Associates, Inc. %U https://openreview.net/forum?id=9t-j3xDm7_Q PuRe BibTeX publisher version 18 Conference paper D2 R. Gong, M. Danelljan, D. Dai, D. P
Break 17:10 Leif Kobbelt RWTH Aachen From Quad Meshes to Quad Layouts – Advances in the Optimization of 3D Models 17:50 Tony de Rose Pixar Animation Studios How Mathematics has Changed Hollywood 25 September
features as well as the pose estimation task based on the same idea. Material Full length paper (pdf, 3mb) Reference [1] M. Loper. Chumpy. https://github.com/ mattloper/chumpy . [2] M. M. Loper and M. J. [...] 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
are made up of a chain of amino acids that folds into a complicated 3-dimensional structure, thus translating information from 1D to 3D. The specific way in which each individual protein folds depends on [...] 2011Senior Scientist at the Dept. 3, Computational Biology and Applied Algorithmics, with Professor Lengauer. After her Master's Degree in Mathematics, she finished 2006 her Ph.D. in molecular biology at the [...] amino acids that comprise the protein. Structural biology has accumulated extensive data on protein 3D structures that can be analyzed using computational methods. We extend this paradigm to molecular complexes
