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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

Removal of dust artifacts in focal stack image sequences

Chen Li, Kun Zhou, Stephen Lin

2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | November 2012

Video

Introducing Project Naiad and Differential Dataflow

November 8, 2012 | Martin Abadi, Rebecca Isaacs, Michael Isard, Frank McSherry, Derek Murray

Naiad, now available for download, is an investigation of data-parallel dataflow computation in the spirit of Dryad and DryadLINQ, but with a focus on incremental computation. Naiad introduces a new computational model, differential dataflow, operating…

a man standing in front of a computer screen

35:14

Publication

Probabilistic Sequential POIs Recommendation via Check-In Data

Jitao Sang, Tao Mei, Jiaotao Sun, Changsheng Xu, Shipeng Li

November 2012

Publication

Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning

Tianzhu Zhang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang, Hanqing Lu

Asian Conference on Computer Vision (ACCV 2012) | November 2012

Publication

SocialTransfer: Cross-Domain Transfer Learning from Social Streams for Media Applications

Suman D. Roy, Tao Mei, Wenjun Zeng, Shipeng Li

November 2012

Video

Motion-Guided Mechanical Toy Modeling

November 1, 2012 | John Snyder, Yang Liu

We introduce a new method to synthesize mechanical toys solely from the motion of their features. The designer specifies the geometry and a time-varying rotation and translation of each rigid feature component. Our algorithm automatically…