Peyman Moghadam

research

∙ 09/18/2023

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training

Hyperspectral images (HSIs) contain rich spectral and spatial informatio...

0 Shaheer Mohamed, et al. ∙

research

∙ 08/09/2023

GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors

LiDAR place recognition approaches based on deep learning suffer a signi...

0 Joshua Knights, et al. ∙

research

∙ 07/31/2023

L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

The performance of a lifelong learning (L3) model degrades when it is tr...

0 Kaushik Roy, et al. ∙

research

∙ 07/31/2023

Subspace Distillation for Continual Learning

An ultimate objective in continual learning is to preserve knowledge lea...

0 Kaushik Roy, et al. ∙

research

∙ 07/26/2023

Deep Robust Multi-Robot Re-localisation in Natural Environments

The success of re-localisation has crucial implications for the practica...

0 Milad Ramezani, et al. ∙

research

∙ 07/18/2023

Exploiting Field Dependencies for Learning on Categorical Data

Traditional approaches for learning on categorical data underexploit the...

0 Zhibin Li, et al. ∙

research

∙ 01/05/2023

Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models

The diversity of terrestrial vascular plants plays a key role in maintai...

0 Yiqing Guo, et al. ∙

research

∙ 11/23/2022

Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments

Many existing datasets for lidar place recognition are solely representa...

0 Joshua Knights, et al. ∙

research

∙ 10/10/2022

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization

Although re-ranking methods are widely used in many retrieval tasks to i...

7 Kavisha Vidanapathirana, et al. ∙

research

∙ 10/04/2022

Uncertainty-Aware Lidar Place Recognition in Novel Environments

State-of-the-art approaches to lidar place recognition degrade significa...

8 Keita Mason, et al. ∙

research

∙ 07/06/2022

Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia

Diversity of terrestrial plants plays a key role in maintaining a stable...

11 Yiqing Guo, et al. ∙

research

∙ 05/25/2022

Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM

We present Wildcat, a novel online 3D lidar-inertial SLAM system with ex...

0 Milad Ramezani, et al. ∙

research

∙ 03/15/2022

What's in the Black Box? The False Negative Mechanisms Inside Object Detectors

In object detection, false negatives arise when a detector fails to dete...

13 Dimity Miller, et al. ∙

research

∙ 03/02/2022

InCloud: Incremental Learning for Point Cloud Place Recognition

Place recognition is a fundamental component of robotics, and has seen t...

5 Joshua Knights, et al. ∙

research

∙ 12/01/2021

Point Cloud Segmentation Using Sparse Temporal Local Attention

Point clouds are a key modality used for perception in autonomous vehicl...

15 Joshua Knights, et al. ∙

research

∙ 11/29/2021

The CSIRO Crown-of-Thorn Starfish Detection Dataset

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss...

11 Jiajun Liu, et al. ∙

research

∙ 09/17/2021

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

Retrieval-based place recognition is an efficient and effective solution...

19 Kavisha Vidanapathirana, et al. ∙

research

∙ 03/09/2021

DeepSeagrass Dataset

We introduce a dataset of seagrass images collected by a biologist snork...

0 Scarlett Raine, et al. ∙

research

∙ 11/30/2020

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling

Place Recognition (PR) enables the estimation of a globally consistent m...

0 Kavisha Vidanapathirana, et al. ∙

research

∙ 09/18/2020

Multi-species Seagrass Detection and Classification from Underwater Images

Underwater surveys conducted using divers or robots equipped with custom...

6 Scarlett Raine, et al. ∙

research

∙ 08/05/2020

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM

Map-centric SLAM utilizes elasticity as a means of loop closure. This ap...

0 Chanoh Park, et al. ∙

research

∙ 07/30/2020

Canopy Density Estimation in Perennial Horticulture Crops Using 3D Spinning LiDAR SLAM

We propose a 3D ray cloud based method for estimating the canopy density...

0 Thomas Lowe, et al. ∙

research

∙ 03/24/2020

Scalable learning for bridging the species gap in image-based plant phenotyping

The traditional paradigm of applying deep learning – collect, annotate a...

2 Daniel Ward, et al. ∙

research

∙ 01/17/2020

Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach

The demand for multimodal sensing systems for robotics is growing due to...

0 Chanoh Park, et al. ∙

research

∙ 03/07/2019

Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction

We introduce a synthetic dataset for evaluating non-rigid 3D human recon...

0 Shafeeq Elanattil, et al. ∙

research

∙ 01/23/2019

Robust Photogeometric Localization over Time for Map-Centric Loop Closure

Map-centric SLAM is emerging as an alternative of conventional graph-bas...

0 Chanoh Park, et al. ∙

research

∙ 10/09/2018

Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction

This paper presents a method which can track and 3D reconstruct the non-...

10 Shafeeq Elanattil, et al. ∙

research

∙ 07/28/2018

Deep Leaf Segmentation Using Synthetic Data

Automated segmentation of individual leaves of a plant in an image is a ...

0 Daniel Ward, et al. ∙

research

∙ 05/29/2018

Non-rigid Reconstruction with a Single Moving RGB-D Camera

We present a novel non-rigid reconstruction method using a moving RGB-D ...

0 Shafeeq Elanattil, et al. ∙

research

∙ 05/29/2018

Non-rigid Reconstruction with a Single MovingRGB-D Camera

We present a novel non-rigid reconstruction method using a moving RGB-D ...

0 Shafeeq Elanattil, et al. ∙

research

∙ 11/06/2017

Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM

The concept of continuous-time trajectory representation has brought inc...

0 Chanoh Park, et al. ∙

Peyman Moghadam

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