vision.cs.princeton.edu

Princeton Vision Group - Prof. Jianxiong Xiao

Talk: Deep Visual Learning beyond 2D Object Classification. 3D ShapeNets: A Deep Representation for Volumetric Shapes. LSUN: Large-scale Scene Understanding Challenge. SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite. Sliding Shapes for 3D Object Detection in Depth Images. PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding. SFMedu version 2: A Structure From Motion Implementation in MATLAB for Education. Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines.

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Princeton Vision Group - Prof. Jianxiong Xiao | vision.cs.princeton.edu Reviews

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Talk: Deep Visual Learning beyond 2D Object Classification. 3D ShapeNets: A Deep Representation for Volumetric Shapes. LSUN: Large-scale Scene Understanding Challenge. SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite. Sliding Shapes for 3D Object Detection in Depth Images. PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding. SFMedu version 2: A Structure From Motion Implementation in MATLAB for Education. Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines.

<META> KEYWORDS

1 scene understanding database

2 image based facade modeling

3 scene viewpoint recognition

4 mission

5 sponsor our research

6 news

7 and places

8 to visualize cnn

9 most popular talk

10 sliding shapes

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scene understanding database,image based facade modeling,scene viewpoint recognition,mission,sponsor our research,news,and places,to visualize cnn,most popular talk,sliding shapes,magazine,and panocontext,google research news

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Princeton Vision Group - Prof. Jianxiong Xiao | vision.cs.princeton.edu Reviews

https://vision.cs.princeton.edu

Talk: Deep Visual Learning beyond 2D Object Classification. 3D ShapeNets: A Deep Representation for Volumetric Shapes. LSUN: Large-scale Scene Understanding Challenge. SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite. Sliding Shapes for 3D Object Detection in Depth Images. PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding. SFMedu version 2: A Structure From Motion Implementation in MATLAB for Education. Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines.

INTERNAL PAGES

vision.cs.princeton.edu

1

Reconstructing the World's Museums

http://vision.cs.princeton.edu/projects/2012/museum

Reconstructing the World's Museums. ECCV 2012 Best Student Paper Award. And Google Research Excellent Papers Award. Jianxiong Xiao and Yasutaka Furukawa. Reconstructing the World's Museums. International Journal of Computer Vision (IJCV). Jianxiong Xiao and Yasutaka Furukawa. Reconstructing the World's Museums. Proceedings of the 12th European Conference on Computer Vision (ECCV2012). Oral presentation at the main conference: Powerpoint PPTX slides (781MB). And PDF slides (44MB). And PDF slides (93MB).

2

Recognizing Scene Viewpoint using Panoramic Place Representation

http://vision.cs.princeton.edu/projects/2012/SUN360

Recognizing Scene Viewpoint using Panoramic Place Representation. J Xiao, K. A. Ehinger, A. Oliva and A. Torralba. Recognizing Scene Viewpoint using Panoramic Place Representation. Proceedings of 25th IEEE Conference on Computer Vision and Pattern Recognition, 2012. Short Fast-forward Introduction ( Download. Full Length Video ( Download. Example Results on Panorama.pdf. This file contains more examples of result visualization on our panorama dataset. It is an extension of Figure 8 in the paper. To downl...

3

Image-based Facade Modeling

http://vision.cs.princeton.edu/projects/2008/TOG_facade

J Xiao, T. Fang, P. Tan, P. Zhao, E. Ofek, and L. Quan. ACM Transaction on Graphics (TOG), Volume 27, Number 5. Proceedings of ACM SIGGRAPH Asia 2008. Image selected for Back Cover of ToG. Video is selected for Papers Preview.

4

Image-based Street-side City Modeling

http://vision.cs.princeton.edu/projects/2009/TOG

Image-based Street-side City Modeling. J Xiao, T. Fang, P. Zhao, M. Lhuillier, and L. Quan. Image-based Street-side City Modeling. Proceedings of ACM SIGGRAPH Asia 2009. ACM Transaction on Graphics (TOG), Volume 28, Number 5. This code is to render a Mesh given a 3x4 camera matrix with an image resolution. This is a program for packing texture for rectangles into a big image. This is a code to decompose a 3x4 camera matrix into intrinsic and extrinsic camera paramaters.

5

Localizing 3D Cuboids in Single-view Images

http://vision.cs.princeton.edu/projects/2012/SUNprimitive

Localizing 3D Cuboids in Single-view Images. Given a single-view input image, our goal is to detect the 2D corner locations of the cuboids depicted in the image. With the output part locations we can subsequently recover information about the camera and 3D shape via camera resectioning. J Xiao, B. C. Russell, and A. Torralba. Localizing 3D Cuboids in Single-view Images. Advances in Neural Information Processing Systems 25 (NIPS2012). Pyramid annotation on single-view RGB images. Run "compile" in Matlab.

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princetoncs.blogspot.com

Princeton CS: Graphics, Vision, and Sound

http://princetoncs.blogspot.com/2010/01/graphics-vision-and-sound.html

Friday, January 8, 2010. Graphics, Vision, and Sound. Graphics, Vision, and Sound. Graphics, Vision, and Sound spans the research areas of geometric modeling, computer graphics rendering and animation, information and scientific visualization, computer audio and music, and human-computer interfaces. Computer Audio and Music. 3D Content Creation Made Easy Through Non-Photorealism. 3D Shape-Based Retrieval and Analysis. Acoustic Modeling for Virtual Environments. New techniques for range scanning.

ddohan.com

About Me | David Dohan

http://ddohan.com/about

I’m a software engineer at Dropbox and a recent computer science major at Princeton. I’m interested in neuroscience and building computer vision systems. At the moment, I’m working on cg.jl. A project to build a Theano-like framework in Julia. Engineer on Data Infrastructure team. Engineering intern building out search and new APIs. Engineering intern on the analytics team. Princeton University [Summer 2012]. Research with professor Vivek Pai. Published at the International Conference on 3D Vision, 2015.

princetoncs.blogspot.com

Princeton CS: January 2010

http://princetoncs.blogspot.com/2010_01_01_archive.html

Sunday, January 10, 2010. Topics and Text: Applications and Theory of Graphical Models. Topics and Text: Applications and Theory of Graphical Models. This research area focuses on theory and applications - primarily in text and data mining - of graphical models. Graphical models are a convenient abstraction for characterizing causal relationships within complex systems. Networks Uncovered By Bayesian Inference (Nubbi). Http:/ www.cs.princeton.edu/ jbg/documents/kdd2009.pdf. In this model, topics are assu...

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Spektakuläre Villen, Luxushäuser, Fincas, malerische Chalets und Penthouse-Wohnungen. In erlesenen Gegenden an Spaniens sonnenverwöhnter Costa Blanca. Let the professionals work for you. Mobiltelefon 34 649 867 025. ES Telefon 34 96 643 5052. UK Telefon 44 (0)203 514 3973. DE Telefon 49 (0)30 46 999 4124. Daneben werden Grundstücke mit herrlichem Meerblick angeboten, die für maßgeschneiderte Projekte von erfahrenen Architekten und Innenausstattern geradezu geschaffen sind. Erstklassig...Genießen Si...

vision.cs.byu.edu

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vision.cs.hacettepe.edu.tr

Computer Vision Laboratory at Hacettepe University

Hacettepe University Computer Vision Lab (HUCVL) focuses on research activities primarily towards the computational aspects of visual perception. We combine elements of machine learning, image processing and computer vision to develop algorithms to analyze and solve interesting problems. HUCVL research interests include:. Image and video processing. Medical image processing and classification. 2013 Computer Vision Laboratory. Department of Computer Engineering. Semih Yagcioglu, Aykut Erdem, Erkut Erdem.

vision.cs.illinois.edu

Computer Vision @ UIUC

Computer Vision @ UIUC (CS). Welcome to the Vision Group's website. Computer Vision Group Lunch - Fall 2016. Every Wednesday, 12:30-2:00 PM, 3405 (Siebel). Subscribe to the vision mailing list. For announcements. Only requests from the illinois.edu domain will be approved. Please provide a description of who you are and why you are interested along with the subscription request. This is not an exhaustive list. Let us know. If your name is not here. Currently Asst. Prof. at UC Irvine).

vision.cs.man.ac.uk

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vision.cs.princeton.edu

Princeton Vision Group - Prof. Jianxiong Xiao

Talk: Deep Visual Learning beyond 2D Object Classification. 3D ShapeNets: A Deep Representation for Volumetric Shapes. LSUN: Large-scale Scene Understanding Challenge. SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite. Sliding Shapes for 3D Object Detection in Depth Images. PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding. SFMedu version 2: A Structure From Motion Implementation in MATLAB for Education. Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines.

vision.cs.rpi.edu

Welcome to the Computer Vision Center in RPI's Computer Science Department

Welcome to the computer vision research group in the Department of. Computer Science at Rensselaer Polytechnic Institute, led by Professors. Daniel Freedman and Chuck Stewart. Members of the group work on a. Variety of problems in computer vision, including image registration,. Tracking, segmentation, 3d modeling and geometric algorithms. In 2004. We moved into new facilities in the MRC building on the Troy, NY. Campus, and in January 2006 our colleagues in graphics and robotics.

vision.cs.stonybrook.edu

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vision.cs.tum.edu

Computer Vision Group - Home

Technische Universität München. Persönlicher Status und Werkzeuge. Welcome to the website of the Computer Vision Group. Prof Dr. Daniel Cremers. Dr Frank R. Schmidt. Dr habil. Rudolph Triebel. Dr Virginia Estellers Casas. We have seven papers accepted to CVPR 2017! Our CVPR 2016 paper Sublabel-Accurate Relaxation of Nonconvex Energies. Möllenhoff, Laude, Moeller, Lellmann, Cremers) received the Best Paper Honorable Mention Award. Our SGP 2016 paper Non-rigid puzzles. The biggest award in German academia.

vision.cs.ucla.edu

UCLA Vision Lab

University of California, Los Angeles. 405 Hilgard Ave, Los Angeles, 90095, CA, USA. Tel 1 (310) 206 4137. Director Prof. Stefano Soatto. About joining the Lab. The UCLA Vision Lab is part o the School of Engineering at UCLA, and has ties with activities in the Mathematics department. And outside UCLA with research groups at Caltech/Berkeley/MIT. Our research is made possible by the generous support of AFOSR, NSF, ONR and the Keck Foundation. DARPA Grand Challenge Team. CoMotion: Stanford/Berkeley/UCLA M...

vision.cs.uiuc.edu

Computer Vision @ UIUC

Computer Vision @ UIUC (CS). Welcome to the Vision Group's website. Computer Vision Group Lunch - Spring 2015. Every Wednesday, 1:00-2:30 PM, 3405 (Siebel). Subscribe to the vision mailing list. For announcements. Only requests from the illinois.edu domain will be approved. Please provide a description of who you are and why you are interested along with the subscription request. This is not an exhaustive list. Let us know. If your name is not here. Currently Asst. Prof. at UC Irvine).