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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

Surface Approximation via Asymptotic Optimal Geometric Partition

Yiqi Cai, Xiaohu Guo, Yang Liu, Wenqiang Wang, Weihua Mao, Zichun Zhong

IEEE Transactions on Visualization & Computer Graphics | November 2016

Publication

Face Alignment With Deep Regression

Baoguang Shi, Xiang Bai, Wenyu Liu, Jingdong Wang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) | November 2016

Publication

A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval

Johannes L. Schönberger, True Price, Torsten Sattler, Jan-Michael Frahm, Marc Pollefeys

Asian Conference on Computer Vision (ACCV’16) | November 2016

Publication

Computing Inversion-Free Mappings by Simplex Assembly

Xiao-Ming Fu, Yang Liu

ACM Transactions on Graphics (TOG) – Proceedings of ACM SIGGRAPH Asia 2016 | November 2016

Publication

Towards Reversal-Invariant Image Representation

Jingdong Wang, Lingxi Xie, Weiyao Lin, Bo Zhang, Qi Tian

November 2016

Tool

Visual Question Generation dataset

We introduce this dataset in order to support the novel task of Visual Question Generation (VQG), where, given an image, the system should ‘ask a natural and engaging question’. This dataset can be used to…

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Video

The Microsoft STEM Student Challenge (UK)

October 27, 2016 | Neeltje Berger

Ever wondered what the world will be like in 20 years? How will the technology of today have changed? We want you to invent the future! The Microsoft STEM Student Challenge aims to help UK students…