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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

High Quality Image Reconstruction from RAW and JPEG Image Pair

Lu Yuan, Jian Sun

IEEE International Conference on Computer Vision (ICCV 2011) | January 2011

Publication

Freeform Vector Graphics with Controlled Thin-Plate Splines

Mark Finch, John Snyder, Hugues Hoppe

ACM SIGGRAPH Asia 2011. | January 2011

Video Access

Publication

Higher order potentials with superpixel neighbourhood (HSN) for semantic image segmentation

Mostafa Saad, Motaz El-Saban

ICIP | January 2011

ICIP

Publication

Face Geometry and Appearance Modeling: Concepts and Applications

Published by Cambridge University Press | January 2011

Publication

Fast Action Detection via Discriminative Random Forest Voting and Top-K Subvolume Search

Gang Yu, Junsong Yuan, Zicheng Liu

January 2011

Publication

Discriminative Video Pattern Search for Efficient Action Detection

Junsong Yuan, Zicheng Liu, Ying Wu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) | January 2011

Publication

Decision Tree Fields

Carsten Rother, Toby Sharp, Sebastian Nowozin, Pushmeet Kohli

ICCV | January 2011

Publication

Edge Foci Interest Points

Larry Zitnick, Krishnan Ramnath

International Conference on Computer Vision | January 2011

Publication

Multimedia Cloud Computing

Wenwu Zhu, Chong Luo, Jianfeng Wang, Shipeng Li

IEEE Signal Processing Magazine | January 2011, Vol 28(3): pp. 59-69

Project

Picto: A Large Scale Visual Indexing and Recognition System

Object image recognition is a challenge but important problem. Towards addressing this problem, we initialed the Picto project. Our research in this project covers three fundamental aspects of this problem: low-level image features, middle level…

Computer Vision

Highlights