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06/09/2023
Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for Early DESI data
We present an extended validation of semi-analytical, semi-empirical cov...
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01/29/2023
Fast Correlation Function Calculator – A high-performance pair counting toolkit
Context. A novel high-performance exact pair counting toolkit called Fas...
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02/22/2022
3D ToF LiDAR in Mobile Robotics: A Review
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobi...
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05/21/2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
In a large recommender system, the products (or items) could be in many ...
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05/23/2019
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine
Graph mining is one of the most important categories of graph algorithms...
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05/17/2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
In order to integrate uncertainty estimates into deep time-series modell...
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07/02/2018
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data
This paper presents a novel semantic mapping approach, Recurrent-OctoMap...
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03/06/2018
Learning monocular visual odometry with dense 3D mapping from dense 3D flow
This paper introduces a fully deep learning approach to monocular SLAM, ...
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12/09/2017
SPP-Net: Deep Absolute Pose Regression with Synthetic Views
Image based localization is one of the important problems in computer vi...
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09/30/2017
Dense RGB-D semantic mapping with Pixel-Voxel neural network
For intelligent robotics applications, extending 3D mapping to 3D semant...
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03/19/2017
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data
This paper addresses the problem of RGBD object recognition in real-worl...
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03/14/2017