92 citations · 365 across the 53 of their papers we have counts for
8 papers · 1 filter
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li +3
In this paper, we make an important step towards the black-box machine teaching by considering the cross-space machine teaching, where the teacher and the learner use different fea…
Fine-Grained Head Pose Estimation Without Keypoints
Nataniel Ruiz, Eunji Chong, James M. Rehg
Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video…
Noninvasive Corneal Image-Based Gaze Measurement System
Eunji Chong, Christian Nitschke, Atsushi Nakazawa +2
Gaze tracking is an important technology as the system can give information about a person from what and where the person is seeing. There have been many attempts to make robust an…
Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container
Nataniel Ruiz, James M. Rehg
Face detection is a very important task and a necessary pre-processing step for many applications such as facial landmark detection, pose estimation, sentiment analysis and face re…
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model
Paul Drews, Grady Williams, Brian Goldfain +2
We present a framework for vision-based model predictive control (MPC) for the task of aggressive, high-speed autonomous driving. Our approach uses deep convolutional neural networ…
Autonomous Racing with AutoRally Vehicles and Differential Games
Grady Williams, Brian Goldfain, Paul Drews +2
Safe autonomous vehicles must be able to predict and react to the drivers around them. Previous control methods rely heavily on pre-computation and are unable to react to dynamic e…
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams, Paul Drews, Brian Goldfain +2
We present an information theoretic approach to stochastic optimal control problems that can be used to derive general sampling based optimization schemes. This new mathematical me…
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
In this paper, we consider the problem of machine teaching, the inverse problem of machine learning. Different from traditional machine teaching which views the learners as batch a…