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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

Real-Time Patch-Based Sort-Middle Rendering on Massively Parallel Hardware

Charles Loop, Christian Eisenacher

MSR-TR-2009-83 | May 2009

Publication

SVBRDF Bootstrapping

Jiaping Wang, Yue Dong, Xin Tong, John Snyder, Moshe Ben-Ezra, Yanxiang Lan, Baining Guo

MSR-TR-2009-2016 | May 2009

Publication

An MRF-Based DeInterlacing Algorithm with Exemplar-Based Refinement

Shengyang Dai, Simon Baker, Sing Bing Kang

IEEE Transactions of Image Processing | May 2009

Publication

Robust Higher Order Potentials for Enforcing Label Consistency

Pushmeet Kohli, L’ubor Ladicky, Philip H. S. Torr

International Journal of Computer Vision | May 2009, Vol 82: pp. 302-324

Project

Core Tools for Augmented Reality

We aim to enable people with mobile devices to receive continuously updated information about their surroundings by pointing a camera. The system is able to use image recognition to augment what a person sees on…

Publication

Turning the Tables: An Interactive Surface for VJing

Stuart Taylor, Shahram Izadi, David Kirk, Richard Harper, Armando Garcia-Mendoza

Proceeding of CHI 2009 | April 2009

Proceeding of CHI 2009

Publication

Auditory Context Awareness via Wearable Computing

Alex Pentland, Brian Clarkson, Nitin Sawhney

April 2009

Publication

User-Defined Gestures for Surface Computing

Jacob Wobbrock, Meredith Ringel Morris, Andrew D. Wilson

CHI ’09 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems | April 2009

Best Paper Nominee

Publication

Multiview video compression and streaming based on predicted viewer position

Dinei Florencio, Cha Zhang

ICASSP | April 2009

Publication

Correlating low-level image statistics with users – rapid aesthetic and affective judgments of web pages

International conference on Human factors in computing systems (SIGCHI) | April 2009

Computer Vision

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