Alert button

"Time": models, code, and papers
Alert button

Real-Time Control for Autonomous Racing Based on Viability Theory

Nov 06, 2017
Alexander Liniger, John Lygeros

Figure 1 for Real-Time Control for Autonomous Racing Based on Viability Theory
Figure 2 for Real-Time Control for Autonomous Racing Based on Viability Theory
Figure 3 for Real-Time Control for Autonomous Racing Based on Viability Theory
Figure 4 for Real-Time Control for Autonomous Racing Based on Viability Theory
Viaarxiv icon

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters

Nov 10, 2020
Qiong Wu, Zhenming Liu

Figure 1 for Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Figure 2 for Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Figure 3 for Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Figure 4 for Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Viaarxiv icon

Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise

Jun 14, 2020
Namrata Vaswani, Praneeth Narayanamurthy

Figure 1 for Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Figure 2 for Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Figure 3 for Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Figure 4 for Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Viaarxiv icon

Modeling Disease Progression Trajectories from Longitudinal Observational Data

Dec 09, 2020
Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group

Figure 1 for Modeling Disease Progression Trajectories from Longitudinal Observational Data
Figure 2 for Modeling Disease Progression Trajectories from Longitudinal Observational Data
Figure 3 for Modeling Disease Progression Trajectories from Longitudinal Observational Data
Figure 4 for Modeling Disease Progression Trajectories from Longitudinal Observational Data
Viaarxiv icon

DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction

Jan 25, 2021
Yiming Luo, Zhenxing Mi, Wenbing Tao

Figure 1 for DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Figure 2 for DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Figure 3 for DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Figure 4 for DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Viaarxiv icon

Diverse Complexity Measures for Dataset Curation in Self-driving

Jan 16, 2021
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer

Figure 1 for Diverse Complexity Measures for Dataset Curation in Self-driving
Figure 2 for Diverse Complexity Measures for Dataset Curation in Self-driving
Figure 3 for Diverse Complexity Measures for Dataset Curation in Self-driving
Figure 4 for Diverse Complexity Measures for Dataset Curation in Self-driving
Viaarxiv icon

FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud

Feb 17, 2021
Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd

Figure 1 for FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud
Figure 2 for FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud
Figure 3 for FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud
Figure 4 for FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud
Viaarxiv icon

ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development

Jan 16, 2021
Chandra Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen

Figure 1 for ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development
Figure 2 for ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development
Figure 3 for ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development
Figure 4 for ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development
Viaarxiv icon

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images

Mar 01, 2021
Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu

Figure 1 for Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
Figure 2 for Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
Figure 3 for Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
Figure 4 for Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
Viaarxiv icon

Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning

Nov 09, 2020
Kaleb Ben Naveed, Zhiqian Qiao, John M. Dolan

Figure 1 for Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Figure 2 for Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Figure 3 for Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Figure 4 for Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Viaarxiv icon