279 citations · 854 across the 40 of their papers we have counts for
43 papers
On the Order-Conditional Optimality of Gaffke's Bound
George Bissias, Erik Learned-Miller
Let be a random vector from any Borel probability law on . We revisit the problem of deriving a lower confidence bound (LCB) on a scalar pa…
Towards Automated Confidence Bound Provers and Searchers
My Phan, Erik Learned-Miller
In this work we lay the groundwork for automating the process of finding and proving the validity of lower confidence bounds of the mean. Our key finding is based on the observatio…
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging
Ke Xiao, Erik Learned-Miller, Evangelos Kalogerakis +2
Mitral regurgitation (MR) is a heart valve disease with potentially fatal consequences that can only be forestalled through timely diagnosis and treatment. Traditional diagnosis me…
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
Fabien Delattre, David Dirnfeld, Phat Nguyen +4
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no pre…
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
Zitian Chen, Mingyu Ding, Yikang Shen +4
We present a model that can perform multiple vision tasks and can be adapted to other downstream tasks efficiently. Despite considerable progress in multi-task learning, most effor…
Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface
Shifan Zhu, Zhipeng Tang, Michael Yang +2
Our paper proposes a direct sparse visual odometry method that combines event and RGB-D data to estimate the pose of agile-legged robots during dynamic locomotion and acrobatic beh…