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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

Bringing Pictorial Space to Life: computer techniques for the analysis of paintings

Antonio Criminisi, Martin Kemp, A. Zisserman

January 2002

Publication

Dense Stereo Using Pivoted Dynamic Programming

Philip H.S. Torr, Antonio Criminisi

2002 British Machine Vision Conference | January 2002

Publication

Isosurface Topology Simplification

Zoë Wood, Hugues Hoppe, Mathieu Desbrun, Peter Schröder

MSR-TR-2002-28 | January 2002

Publication

Motion-based recognition of people using image self-similarity

C. Benadbelkader, Ross Cutler, Larry S. Davis

December 2001

Publication

A taxonomy and evaluation of dense two-frame stereo correspondence algorithms

Daniel Scharstein, Rick Szeliski, R. Zabih

International Journal of Computer Vision | December 2001, Vol 47(1): pp. 7-42

Publication

Separation of diffuse and specular reflection in color images

Stephen Lin, Heung-Yeung Shum

Computer Vision and Pattern Recognition (CVPR) | December 2001

Publication

Multibody Grouping via Orthogonal Subspace Decomposition

Ying Wu, Zhengyou Zhang, Thomas S. Huang, John Y. Lin

Proceedings IEEE Conference Computer Vision and Pattern Recognition (CVPR’01), Kauai, Hawaii | December 2001

Publication

Camera Calibration With One-Dimensional Objects

Zhengyou Zhang

MSR-TR-2001-120 | December 2001

Publication

Eye Gaze Correction with Stereovision for Video-Teleconferencing

Ruigang Yang, Zhengyou Zhang

MSR-TR-2001-119 | December 2001

Project

Publication

Model- and Exemplar-based Robust Head Pose Tracking Under Occlusion and Varying Expression

Le Lu, Zhengyou Zhang, Heung-Yeung Shum, Zicheng Liu, Hong Chen

CVPR 2001 Worhshop | December 2001

Computer Vision

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