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Computer Vision

Enabling computers and devices to understand what they see.

Microsoft at CVPR 2024: Innovations in computer vision and AI research

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Exploring how context, culture, and character matter in avatar research

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

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Published Date

Publication

Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation

Deva Ramanan, Simon Baker

Proceedings of the IEEE International Conference on Computer Vision | September 2009

Proceedings of the IEEE International Conference on Computer Vision

Publication

Building Rome in a Day

Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Sietz, Rick Szeliski

Twelfth IEEE International Conference on Computer Vision (ICCV 2009) | September 2009

Twelfth IEEE International Conference on Computer Vision (ICCV 2009)

Publication

Reconstructing Building Interiors from Images

Yasutaka Furukawa, Brian Curless, Steven M. Seitz, Rick Szeliski

Twelfth IEEE International Conference on Computer Vision (ICCV 2009) | September 2009

Publication

Piecewise planar stereo for image-based rendering

Sudipta Sinha, Drew Steedly, Rick Szeliski

2009 International Conference on Computer Vision | August 2009

Publication

Low-complexity Digital Filter Geometry for Spherical Coded Imaging

Guotong Feng, Shuayb Zarar, Dirk Robinson

SPIE Novel Optical Systems Design and Optimization XII | August 2009, Vol 7429

Publication

SkyFinder: Attribute-based Sky Image Search

Litian Tao, Lu Yuan, Jian Sun

ACM Transaction on Graphics, Siggraph | August 2009

Publication

HD View: A Software Camera for the Web

Matt Uyttendaele, Howard Good, Michael Cohen

MSR-TR-2009-95 | August 2009

Publication

On Centroidal Voronoi Tessellation””Energy Smoothness and Fast Computation

Yang Liu, Wenping Wang, Bruno Lévy, Feng Sun, Dong-Ming Yan, Lin Lu, Chenglei Yang

ACM Transactions on Graphics | August 2009, Vol 28

Publication

Occlusion Reasoning for Temporal Interpolation using Optical Flow

Evan Herbst, Steve Seitz, Simon Baker

MSR-TR-2009-2014 | August 2009

University of Washington Department of Computer Science and Engineering Technical Report UW-CSE-09-08-01 Available from: http://www.cs.washington.edu/research/tr/techreports.shtml

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MSR Action Data Set

This is a data set used for human action-detection experiments. It consists of a number of video sequences we have recorded.

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Computer Vision

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