Computer Vision
Enabling computers and devices to understand what they see.
Microsoft Research Blog
Using transfer learning to address label noise for large-scale image classification
In this post, we introduce how to use transfer learning to address label noise for large-scale image classification tasks. We’ll avoid describing the approach using too much math. If you are interested in the deeper…
Microsoft Research Blog
Believing is seeing: Insightful research illuminates the newly possible in the realm of natural and synthetic images
A pair of groundbreaking papers in computer vision open new vistas on possibilities in the realms of creating very real-looking natural images and synthesizing realistic, identity-preserving facial images. In CVAE-GAN: Fine-Grained Image Generation through Asymmetric…
Podcast
Teaching computers to see with Dr. Gang Hua
Episode 28, June 13, 2018 – Dr. Hua talks about how the latest advances in AI and machine learning are making big improvements on image recognition, video understanding and even the arts. He also explains…
Video
3D Hand Pose Estimation Using Convolutional Neural Networks
3D hand pose is challenging due to complicated variations caused by high Degree of Freedom articulations, multiple viewpoints, self-similar parts, severe self-occlusions, different shapes, and sizes. My Ph.D. work tackles 1) the multiple viewpoints and…
Publication
Generating Talking Face Landmarks from Speech
Publication