Computer Vision
Enabling computers and devices to understand what they see.
Publication
Cross View Fusion for 3D Human Pose Estimation
Video
Our intern experience at Microsoft Research Cambridge
Find out what it’s like to be an intern at the Microsoft Research lab in Cambridge, UK. Find out more and apply at: https://aka.ms/MSRCambridgeIntern
Video
Working at Microsoft Research Cambridge
Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research. Watch the video to find out more about our culture, ambition and research themes. Find out more at: https://aka.ms/MSRCambridge
Microsoft Research Blog
From blank canvas unfolds a scene: GAN-based model generates and modifies images based on continual linguistic instruction
When people create, it’s not very often they achieve what they’re looking for on the first try. Creating—whether it be a painting, a paper, or a machine learning model—is a process that has a starting…
Microsoft Research Blog
Getting a better visual: RepPoints detect objects with greater accuracy through flexible and adaptive object modeling
Visual understanding tasks are typically centered on objects, such as human pose tracking in Microsoft Kinect and obstacle avoidance in autonomous driving. In the deep learning era, these tasks follow a paradigm where bounding boxes…
Event
The 1st Workshop on Hot Topics in Video Analytics and Intelligent Edges
Cameras are everywhere! Analyzing live videos from these cameras has great potential to impact science and society. Enterprise cameras are deployed for a wide variety of commercial and security reasons. Consumer devices themselves have cameras with users…
Video
Multi-level Optimization Approaches to Computer Vision
On a broad level, computer graphics involves representing 3D information in 2D. Computer vision can be thought of as the inverse problem – inferring 3D information from a projected representation. This talk will discuss two…
