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PhD Program in Computer and Information Science -- Events -- Summer...
www.uni-konstanz.de
Summer School by Sören Pirk Content based document structure analysis by Andreas Stoffel Document cards: A top trump visualization for documents
3D Reconstruction meets Semantics – Program – TrimBot2020 Project
trimbot2020.webhosting.rug.nl
Suhani Vora, Anelia Angelova, Soeren Pirk, Reza Majhourian, Future Semantic Segmentation Leveraging 3D Information (extended abstract PDF); Clara ...
Trees on fire - EurekAlert!
www.eurekalert.org
— ... efforts in plant modeling concentrate on the dynamic behavior by simulating the physics response of plants," said Sören Pirk, ... › news-...
Tree and Foliage Tools - Marketplace - od|forum
forums.odforce.net
Hey, thought I'd share this here Preview of tree and foliage creation and layout tools now available on Gumroad. I've released them as
Netzwerk-Profile
LinkedIn: Sören Pirk | LinkedIn
Sören Pirks berufliches Profil anzeigen LinkedIn ist das weltweit größte berufliche Netzwerk, das Fach- und Führungskräften wie Sören Pirk dabei hilft, interne ...
Projekte
CGMod / Code / [r24] /CGMod_1/CGMod_1/Shader/Water.vert.glsl
sourceforge.net
44 lines (32 with data), 969 Bytes //Author: Sören Pirk //Date: #version 330 core #define VERT_POSITION 0 #define VERT_NORMAL 1 #define
Capturing and Animating the Morphogenesis of Polygonal Tree Models
storage.googleapis.com
Sören Pirk Till Niese1 Oliver Deussen Boris Neubert2. 1University of Konstanz, Germany. 2École Polytechnique Fédérale de Lausanne, Switzerland ...
rec3d: Camera Class Reference
forlom.users.sourceforge.net
Detailed Description. The Camera class offers a simple camera which can be moved through the scene. Code is in parts by Sören Pirk, Uni Konstanz.
Modeling Plant Life in Computer Graphics
storage.googleapis.com
Modeling Plant Life in Computer Graphics Sören Pirk 1 Bedrich Benes 2 Takashi Ijiri 3 Yangyan Li 1,4 Oliver Deussen 5 Baoquan Chen 4
Bücher
Soeren Pirk | Papers With Codepaperswithcode.com › author › soe...
paperswithcode.com
Soeren Pirk. Author page based on publicly available paper data. 3. papers with code. 5. papers. 3. results. Vincent Casser · Soeren Pirk · Reza Mahjourian.
the platform for scientific paper presentations - Papertalk
papertalk.org
Modeling Long-horizon Tasks as Sequential Interaction Landscapes · Soeren Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari. Keywords Abstract › papertalks
Texture-lobes for Tree Modeling - Yotam Livny, Sören Pirk, Zhanglin...
books.google.nl
Title, Texture-lobes for Tree Modeling. Authors, Yotam Livny, Sören Pirk, Zhanglin Cheng, Feilong Yan, Oliver Deussen, Daniel Cohen-Or, Baoquan Chen. Published, Export Citation, BiBTeX EndNote RefMan ...
Dokumente zum Namen
Search | arXiv e-print repository
arxiv.org
Understanding and Exploiting Object Interaction Landscapes. Authors: Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J Guibas. Abstract: Interactions play a key role in understanding objects and scenes, for both virtual and real world agents.
Pirk, Sören [WorldCat Identities]
worldcat.org
Efficient Processing of Plant Life in Computer Graphics by Sören Pirk( ... Plastic Trees Interactive Self-Adapting Botanical Tree Models by Sören Pirk( ) › identities
[ ] Depth Prediction Without the Sensors: Leveraging...
arxiv.org
Authors:Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova. (Submitted on 15 Nov 2018). Abstract: Learning to predict scene ...
Accurately Solving Rod Dynamics with Graph Learning
proceedings.neurips.cc
von H Shao · · Zitiert von: 3 — Authors. Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Palubicki, Jan Bender, Soeren Pirk, Dominik L Michels ... › hash
Wissenschaftliche Veröffentlichungen
DFG - GEPRIS - Entwicklung eines durch Objekt-Erkennung ...gepris.dfg.de/gepris/projekt ergebnisse
gepris.dfg.de
Oliver Deussen, Thomas Lindemeier, Sören Pirk, and Mark Tautzenberger; E-David: Wissenschaftlicher Versuch und malendes Monstrum. In Zufallszwänge ...
Accurately Solving Physical Systems with Graph …
animation.rwth-aachen.de
Accurately Solving Physical Systems with Graph Learning. Han Shao, Tassilo Kugelstadt, Wojciech Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels. arXiv. Iterative solvers are widely used to accurately simulate physical systems. These solvers require initial guesses to generate a sequence of improving approximate solutions.
dblp: BibTeX records: Sören Pirk
dblp.uni-trier.de
List of computer science publications by BibTeX records: Sören Pirk
Sören Pirk - DBLP
dblp.org
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova: Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI 2019:
Veröffentlichungen allgemein
Language-Driven Synthesis of 3D Scenes from Scene Databases
manyili12345.github.io
Rui Ma* 1,2 Akshay Gadi Patil* 1 Matthew Fisher 3 Manyi Li 4,1 Sören Pirk 5 Binh-Son Hua 6 Sai-Kit Yeung 7 Xin Tong 8 Leonidas Guibas 5 Hao Zhang 1 1 Simon Fraser University 2 AltumView Systems Inc. 3 Adobe Research 4 Shandong University 5 Stanford University 6 University of Tokyo 7 Hong Kong University of Science and Technology 8 Microsoft Research Asia
Point cloud labeling using machine learning - AI Ukraine
aiukraine.com
Yangyan Li, Soeren Pirk, Hao Su, Charles R. Qi, and Leonidas J. Guibas. FPNN: Field Probing Neural Networks for 3D Data. NIPS Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas. Volumetric and Multi-View. CNNs for Object Classification on 3D Data.
Artikel & Meinungen
Twitter-Nachrichten: ACM SIGGRAPH on Twitter: "Ever wonder how people get ...
— Ever wonder how people get started in #CG? Longtime SIGGRAPH contributor and participant Sören Pirk talks to us about his. › siggraph › status
Wikipedia: eDavid (robot) - Wikipedia
e-David was developed by Prof. Dr. Oliver Deussen, Thomas Lindemeier, Mark Tautzenberger, and Dr. Sören Pirk of the Department of Computer and Information Science. The goal for the project was to build a robot that mimics the manual painting process: painting in iterations until the desired image is achieved.
Depth Prediction without the Sensors: Leveraging Structure for...
openreview.net
Learning to predict scene depth from RGB inputs is a challenging task both for indoor and outdoor robot navigation. In this work we address unsupervised...
Sonstiges
Sören Pirk | LinkedIn
www.linkedin.com
View Sören Pirk's professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Sören Pirk discover inside ...
LUV 2019
sites.google.com
Soeren Pirk, Mohi Hansari, Corey Lynch, Pierre Sermanet; [#73] Event Segmentation in Streaming Videos without Labels using a Predictive ...
Kaimo Hu's homepage
sites.google.com
... [Prepint paper] [BibTex]. Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J Guibas.
struct2depth - Google Sites
sites.google.com
Extended Version: Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova: Unsupervised Monocular Depth and Ego-motion Learning with Structure and ... › view
Soeren Pirk
arshow.info
dear Soeren Pirk, I have seen your papers. All your works are wonderful. May i ask that these projects will you plan to become open source? i would like to learn ...
Soeren Pirk Видео - Смотреть видео бесплатно онлайнvmire.city › mobile › videoman
videoo.zubrit.com
Смотрите популярное видео Soeren Pirk на Смотреть видео бесплатно онлайн.
Johannes Kopf
johanneskopf.de
Sören Pirk, Michael F. Cohen, Oliver Deussen, Matt Uyttendaele, Johannes Kopf, SIGGRAPH Asia Technical Briefs Bibtex: Digital Reconstruction of ... Johannes Kopf, Michael F. Cohen, Dani Lischinski, Matt Uyttendaele, SIGGRAPH Bibtex: GPU-assisted ...
EPS GAN - jonathank.de
jonathank.de
Jonathan Klein, Sören Pirk, and Dominik L. Michels Abstract We present a novel domain adaptation framework that uses morphologic segmentation to translate images from arbitrary input domains (real and synthetic) into a uniform output domain.
Interactive Modeling and Authoring of Climbing Plants by Soeren Pirk...
www.pinterest.cl
LuLus.com, Unauthorized use and/or duplication of this material without express and written permission from this blog's author and/or owner is strictly ...
Inverse Procedural Modeling of Trees
juliankratt.info
Ondrej Stava 1, Sören Pirk 2, Julian Kratt 2, Baoquan Chen 3, Radomir Mech 1, Oliver Deussen 2, Bedrich Benes Adobe Systems Incorporated, USA 2 University of Konstanz, Germany 3 Shenzhen Institute of Advanced Technology, China 4 Purdue University, USA ...
3D Convolutional Neural Networks — A Reading List • David Stutz
davidstutz.de
[1] Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas. FPNN: Field Probing Neural Networks for 3D Data. CoRR, abs [2] Charles Ruizhongtai Qi. Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas Guibas. Volumetric and Multi-View CNNs for Object Classification on 3D Data. CVPR,
Jonathan Klein
jonathank.de
Jonathan Klein, Sören Pirk, and Dominik L. Michels In: arXiv preprint, We present a novel domain adaptation framework that uses morphologic segmentation to translate images from arbitrary input domains (real and synthetic) into a uniform output domain.
CVPR Open Access Repository
openaccess.thecvf.com
Soeren Pirk,. Reza Mahjourian,. Anelia Angelova. [pdf]. [bibtex]. @InProceedings{Casser_2019_CVPR_Workshops, author = {Casser, Vincent and Pirk, Soeren ...
CONTENT Committees
www.iaria.org
Sören Pirk, Universität Konstanz, Germany Marius Ioan Podean, Babes-Bolyai University of Cluj-Napoca, Romania Alex Popa, Aalto University, Finland
Google AI Blog: A Structured Approach to Unsupervised Depth Learning...
ai.googleblog.com
This research was conducted by Vincent Casser, Soeren Pirk, Reza Mahjourian and Anelia Angelova. We would like to thank Ayzaan Wahid for ...
Depth Prediction without the Sensors: Leveraging Structure for ...www.aaai.org › ojs › article › view
ojs.aaai.org
Vincent Casser Harvard University · Soeren Pirk Google · Reza Mahjourian University of Texas at Austin · Anelia Angelova Google ...
Organization – Eurographics & Eurovis 2020
conferences.eg.org
Sören Pirk: Google Inc., USA: Gerard Pons-Moll: Max Planck Institut für Informatik, Germany: Leonardo Scandolo: TU Delft, Netherlands: Johanna Schmidt: VRVis, Austria: Hubert P. H. Shum : Northumbria University, UK: Gurprit Singh: Max Planck Institut f�
3rd International Workshop on Visual Odometry & Computer ...
www.cis.rit.edu
... learning with structure and semantics, Vincent Casser (Harvard University); Soeren Pirk (Google); Reza Majhourian (UT Austin); Anelia Angelova (Google) › program
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