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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

Efficient SVBRDF Acquisition with Manifold Bootstrapping

Yue Dong, Stephen Lin, Baining Guo

Material Appearance Modeling: A Data-Coherent Approach | April 2013, pp. 27-48

Publication

Transformation Guided Image Completion

Johannes Kopf, Sing Bing Kang

International Conference on Computational Photography (ICCP) | April 2013

Publication

Post-Processing Approach for Radiometric Self-Calibration of Video

M. Grundmann, C. McClanahan, S.B. Kang, I. Essa, Sing Bing Kang

IEEE International Conference on Computational Photography | April 2013

Publication

Batteries Not Included: Powering the Ubiquitous Computing Dream

Steve Hodges

IEEE Computer | April 2013

Publication

Ridge Based Palmprint Matching

Jifeng Dai, Jianjiang Feng, Jie Zhou

IEEE Biometrics Council Newsletter | April 2013, Vol 7

Publication

Video based activity recognition in trauma resuscitation

International Conference and Workshops on Automatic Face and Gesture Recognition | April 2013

Publication

Optimus: A Dynamic Rewriting Framework for Data-Parallel Execution Plans

Qifa Ke, Michael Isard, Yuan Yu

Eurosys 2013 | April 2013

Project

Publication

Bringing Computer Science Back Into Schools: Lessons from the UK

Michael Kolling, Tom Crick, Simon Peyton Jones, Simon Humphreys, Sue Sentance

SIGCSE’13 | March 2013

Video

Microsoft Research: Pushing the Boundaries of What’s Possible

March 4, 2013

Whether it’s computer vision or data visualizations, wearable computing or ways to improve our health and well-being, Microsoft Research pursues a wide variety of scientific investigations to push the boundaries of what technology can do.…

01:17

Publication

Fast Component-Based QR Code Detection in Arbitrarily Acquired Images

Luiz Belussi, Nina S. T. Hirata

Journal of Mathematical Imaging and Vision | March 2013

Computer Vision

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