Algorithms
Designing Computer Vision Algorithms to Describe the Visual World to People Who Are Blind or Low Vision
A common goal in computer vision research is to build machines that can replicate the human vision system (for example, detect an object or scene category, describe an object or scene, or locate an object).…
Designing computer vision algorithms to describe the visual world to people who are blind or low vision webinar
In this webinar with Dr. Danna Gurari, Assistant Professor in the School of Information at University of Texas at Austin, and Dr. Ed Cutrell, Senior Principal Researcher in the Microsoft Research Ability Group, learn how…
Black-Box Methods For Restoring Monotonicity
Inside look at the DARPA Subterranean Urban Circuit Challenge 2020
Over the last year, ten teams from around the world have been participating in the DARPA Subterranean challenges. These challenges are designed to test drones and robots on how they perform in hazardous physical environments…
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
Machines are a long way from robustly solving open-world perception-control tasks, such as first-person view (FPV) aerial navigation. While recent advances in end-to-end Machine Learning, especially Imitation and Reinforcement Learning appear promising, they are constrained…
SALSA
A statistical adaptive procedure to automatically schedule the learning rate for deep learning with a broad family of stochastic gradient methods.
Bandits with adversarial scaling
Randomized Smoothing of All Shapes and Sizes
This library implements the algorithms in our paper for computing robust radii for different smoothing distributions against different adversaries.