research
∙
06/25/2022
Render unto Numerics : Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions
By learning the map between function spaces using carefully designed dee...
share
research
∙
06/23/2022
Unseen Object 6D Pose Estimation: A Benchmark and Baselines
Estimating the 6D pose for unseen objects is in great demand for many re...
research
∙
03/22/2022
A Real World Dataset for Multi-view 3D Reconstruction
We present a dataset of 371 3D models of everyday tabletop objects along...
research
∙
02/19/2022
Function-valued RKHS-based Operator Learning for Differential Equations
Recently, a steam of works seek for solving a family of partial differen...
research
∙
08/11/2021
Road Mapping and Localization using Sparse Semantic Visual Features
We present a novel method for visual mapping and localization for autono...
research
∙
04/23/2021
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
In this paper, we propose a cloud-based benchmark for robotic grasping a...
research
∙
02/21/2020
Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Deterministic Resampling Strategy
The challenge of markerless human motion tracking is the high dimensiona...
research
∙
02/21/2020
Online Semantic Exploration of Indoor Maps
In this paper we propose a method to extract an abstracted floor plan fr...
research
∙
02/21/2020
Applying Rule-Based Context Knowledge to Build Abstract Semantic Maps of Indoor Environments
In this paper, we propose a generalizable method that systematically com...
research
∙
02/19/2020
Table-Top Scene Analysis Using Knowledge-Supervised MCMC
In this paper, we propose a probabilistic method to generate abstract sc...
research
∙
02/19/2020
A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC
In this paper, we propose a generalizable knowledge framework for data a...
research
∙
02/19/2020
Extracting Semantic Indoor Maps from Occupancy Grids
The primary challenge for any autonomous system operating in realistic, ...
research
∙
12/04/2019
Reinforcement learning for bandwidth estimation and congestion control in real-time communications
Bandwidth estimation and congestion control for real-time communications...
research
∙
10/30/2019