research
∙
02/28/2023
Effective Community Search on Large Attributed Bipartite Graphs
Community search over bipartite graphs has attracted significant interes...
share
research
∙
02/26/2023
Data-Association-Free Landmark-based SLAM
We study landmark-based SLAM with unknown data association: our robot na...
research
∙
06/24/2022
A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification
Based on the physical features of Raman amplification, we propose a thre...
research
∙
03/08/2022
SLAM-Supported Self-Training for 6D Object Pose Estimation
Recent progress in learning-based object pose estimation paves the way f...
research
∙
04/30/2021
On the Hardness of Scheduling With Non-Uniform Communication Delays
In the scheduling with non-uniform communication delay problem, the inpu...
research
∙
04/01/2021
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior
Recent achievements in depth prediction from a single RGB image have pow...
research
∙
03/19/2021
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation
For a robot deployed in the world, it is desirable to have the ability o...
research
∙
11/30/2020
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles
A very successful model for simulating emergency evacuation is the socia...
research
∙
10/22/2020
FasterRCNN Monitoring of Road Damages: Competition and Deployment
Maintaining aging infrastructure is a challenge currently faced by local...
research
∙
04/21/2020
Scheduling with Communication Delays via LP Hierarchies and Clustering
We consider the classic problem of scheduling jobs with precedence const...
research
∙
07/19/2018
A Tale of Santa Claus, Hypergraphs and Matroids
A well-known problem in scheduling and approximation algorithms is the S...
research
∙
02/10/2018
Local Contrast Learning
Learning a deep model from small data is yet an opening and challenging ...
research
∙
02/28/2015
