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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

Towards High Performance Video Object Detection

Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | April 2018

Publication

Automatic 3D Indoor Scene Modeling From Single Panorama

Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | April 2018

Publication

RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials

Despoina Paschalidou, Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | April 2018

Publication

A High-Quality Denoising Dataset for Smartphone Cameras

Abdelrahman Abdelhamed, Stephen Lin, Michael S. Brown

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | April 2018

Publication

Relation Networks for Object Detection

Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | April 2018

Podcast

When Psychology Meets Technology with Dr. Daniel McDuff

March 28, 2018

Episode 17, March 28, 2018 – Dr. McDuff talks about why we need computers to understand us, outlines the pros and cons of designing emotionally sentient agents, explains the technology behind CardioLens, a pair of…

a man wearing glasses and smiling at the camera

Microsoft Research Blog

2018 EMEA Scholarships to Advance Compelling Research in Healthcare, AI, Future of Work

March 26, 2018

The Microsoft Research PhD Scholarship Programme in EMEA awards scholarships to fund the most promising and groundbreaking computer science research by PhD students across Europe, the Middle East, and Africa. We are extremely proud today…

Publication

Stacked Cross Attention for Image-Text Matching

Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He

March 2018

arXiv preprint arXiv:1803.08024

Tool

Infer.Net

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision,…

GitHub

Video

AirSim ZhangJiaJie Environment

March 13, 2018 | Shital Shah

Zhangjiaji National Park, China environment with AirSim plugin to fly simulated drones.

02:04

Computer Vision

Highlights