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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

A Low-cost Transparent Electric Field Sensor for 3D Interaction on Mobile Devices

Mathieu Le Goc, Stuart Taylor, Shahram Izadi, Cem Keskin

ACM CHI Conference on Human Factors in Computing Systems 2014 | May 2014

Best Paper Honourable Mention Award

Project

Publication

Collaborative Personalization of Image Enhancement

Ashish Kapoor, Juan Caicedo, Dani Lischinski, Sing Bing Kang

International Journal of Computer Vision | May 2014, Vol 108(1): pp. 148-164

Publication

Compression of Human Body Sequences Using Graph Wavelet Filter Banks

Ha Q. Nguyen, Philip A. Chou, Yinpeng Chen

Int’l Conf. on Acoustics, Speech, and Signal Processing | May 2014

Video

RetroDepth: Visual-based 3-D sensing and interaction

April 28, 2014 | Lori Stone

Watch a demonstration of RetroDepth, a vision-based system that accurately senses the 3-D silhouettes of hands and other objects as they interact on and above physical surfaces.

a desktop computer monitor sitting on top of a desk

04:47

Project

RetroDepth: 3D Silhouette Sensing for High-Precision Input On and Above Physical Surfaces

We present RetroDepth, a new vision-based system for accurately sensing the 3D silhouettes of hands, styluses, and other objects, as they interact on and above physical surfaces. Our setup is simple, cheap, and easily reproducible,…

Publication

Interactively Stylizing Camera Motion

Neel Joshi, Dan Morris, Michael Cohen

CHI ’14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems | April 2014

Video

Publication

RetroDepth: 3D Silhouette Sensing for HighPrecision Input On and Above Physical Surfaces

David Kim, David Kim, Shahram Izadi, Jakub Dostal, Christoph Rhemann, Cem Keskin, Christopher Zach, Jamie Shotton, Tim Large, Steven Bathiche, Matthias Niessner, Alex Butler, Vivek Pradeep

ACM CHI Conference on Human Factors in Computing Systems 2014 | April 2014

Best of CHI Best Paper Award

Project

Publication

Efficient Non-linear Markov Models for Human Motion

Andreas Lehrmann, Peter V. Gehler, Sebastian Nowozin

Computer Vision and Pattern Recognition (CVPR 2014) | April 2014

Video

Get to know Microsoft Research

April 17, 2014

A quick peek at what’s new at Microsoft Research.

01:26

Video

MonoFusion: Scanning objects in real time with a single web camera

April 17, 2014 | Lori Stone

This project offers a method for creating 3-D scans of arbitrary environments in real time, utilizing only a single RGB camera as the input sensor. The camera could be one already available in a tablet…

02:09

Computer Vision

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