4 papers
A County-level Dataset for Informing the United States' Response to COVID-19
Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah +8
As the coronavirus disease 2019 (COVID-19) continues to be a global pandemic, policy makers have enacted and reversed non-pharmaceutical interventions with various levels of restri…
Extremely Dense Point Correspondences using a Learned Feature Descriptor
Xingtong Liu, Yiping Zheng, Benjamin Killeen +4
High-quality 3D reconstructions from endoscopy video play an important role in many clinical applications, including surgical navigation where they enable direct video-CT registrat…
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
Cong Gao, Xingtong Liu, Wenhao Gu +4
Differentiable rendering is a technique to connect 3D scenes with corresponding 2D images. Since it is differentiable, processes during image formation can be learned. Previous app…
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Andrew Hundt, Benjamin Killeen, Nicholas Greene +4
Current Reinforcement Learning (RL) algorithms struggle with long-horizon tasks where time can be wasted exploring dead ends and task progress may be easily reversed. We develop th…