Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
Realtime perceptual and interaction capabilities in mixed reality require a range of 3D tracking problems to be solved at low latency on resource-constrained hardware such as head-mounted devices. Indeed, for devices such as HoloLens 2…
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Deep neural networks have been trained to interpret images and text at increasingly high levels of accuracy. In many cases, these accuracy improvements are the result of developing increasingly large and computationally-intensive neural network models.…
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Tackling online attacks targeting certain individuals, groups of people, or communities is a major modern-day web challenge. Research efforts in hate speech detection thus far have largely focused on identifying and subsequently filtering out negative…
Representation Learning with Video Deep InfoMax
Harnessing high-fidelity simulation for autonomous systems through AirSim
Robots and autonomous systems are playing a significant role in modern times, in both academic research and industrial applications. Handling the constant variability and uncertainty present in the real world is a major challenge for…
Harnessing high-fidelity simulation for autonomous systems through AirSim webinar
In this webinar, Sai Vemprala, a Microsoft researcher, will introduce Microsoft AirSim, an open-source, high-fidelity robotics simulator, and he demonstrates how it can help to train robust and generalizable algorithms for autonomy. He will explain the…