Computer Vision
Enabling computers and devices to understand what they see.
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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…
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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…
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Interpretability in NLP: Moving Beyond Vision
Deep neural network models have been extremely successful for natural language processing (NLP) applications in recent years, but one complaint they often suffer from is their lack of interpretability. On the other hand, the field…
