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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

RearType: Text Entry Using Keys on the Back of a Device

James Scott, Shahram Izadi, Leila Sadat Rezai, Dominika Ruszkowski, Xiaojun Bi, Ravin Balakrishnan

Proceedings of MobileHCI 2010 | September 2010

Publication

Condenser-Based Instant Reflectometry

Yanxiang Lan, Yue Dong, Jiaping Wang, Xin Tong, Baining Guo

Computer Graphics Forum | September 2010, Vol 29: pp. 2091-2098

Publication

Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization

Flavio Ribeiro, Cha Zhang, Dinei Florencio, Demba Ba, Flavio Protasio Ribeiro

IEEE Transactions on Audio, Speech, and Language Processing | September 2010

Publication

Regression Forests for Efficient Anatomy Detection and Localization in CT Studies

Antonio Criminisi, Jamie Shotton, D. Robertson, Ender Konukoglu

Medical Computer Vision 2010: Recognition Techniques and Applications in Medical Imaging, MICCAI workshop | September 2010

Project Project

Publication

Generalized Descriptor Compression for Storage and Matching

Matthew Johnson

Proc. BMVC | September 2010

Publication

Joint People, Event, and Location Recognition in Personal Photo Collections using Cross-Domain Context

Dahua Lin, Ashish Kapoor, Gang Hua, Simon Baker

Proceedings of the European Conference on Computer Vision | September 2010

Publication

Efficient Object Category Recognition using Classemes

Martin Szummer, Andrew Fitzgibbon

European Conference on Computer Vision (ECCV) | September 2010

Publication

Partition Min-Hash for Partial Duplicate Image Discovery

David C. Lee, Qifa Ke, Michael Isard

Proceedings of the European Conference on Computer Vision (ECCV 2010) | September 2010

Project

Arista (lARge-scale Image Search To Annotation)

Arista is a data-driven image annotation system, which annotates an image based on large-scale image search. Its assumption is that close similar images share similar semantics. It targets at a practical image annotation engine which…

Video

Faculty Summit 2010 Shapes the Future

August 9, 2010

During Microsoft Research’s Faculty Summit 2010, attendees discuss their favorite aspects of the event—from the Design Expo and specific research demos to a presentation by Turing Award winner Chuck Thacker.

01:25

Computer Vision

Highlights