Patrice Delmas

Patrice Delmas

University of Auckland

H-index: 19

Oceania-New Zealand

About Patrice Delmas

Patrice Delmas, With an exceptional h-index of 19 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of 3D computer vision, Image Processing for Environmental Sciences.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correction: Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging

Meerkat Behaviour Recognition Dataset

Advanced Concepts for Intelligent Vision Systems: 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks

Construction of a Novel Data Set for Pedestrian Tree Species Detection Using Google Street View Data

Quantum annealing for computer vision minimization problems

Underwater Mussel Segmentation Using Smoothed Shape Descriptors with Random Forest

Patrice Delmas Information

University

Position

Intelligent Vision Systems Lab (IVSLab) The

Citations(all)

1444

Citations(since 2020)

463

Cited By

1179

hIndex(all)

19

hIndex(since 2020)

10

i10Index(all)

39

i10Index(since 2020)

16

Email

University Profile Page

University of Auckland

Google Scholar

View Google Scholar Profile

Patrice Delmas Skills & Research Interests

3D computer vision

Image Processing for Environmental Sciences

Top articles of Patrice Delmas

Title

Journal

Author(s)

Publication Date

Correction: Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

Mitchell Rogers

Jacques Blanc-Talon

Martin Urschler

Patrice Delmas

2024

Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging

Advanced Concepts for Intelligent Vision Systems: 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings

Peter Frost

Bing Xue

Mengjie Zhang

Patrice Delmas

2023/11/13

Meerkat Behaviour Recognition Dataset

arXiv preprint arXiv:2306.11326

Mitchell Rogers

Gaël Gendron

David Arturo Soriano Valdez

Mihailo Azhar

Yang Chen

...

2023/6/20

Advanced Concepts for Intelligent Vision Systems: 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings

Jacques Blanc-Talon

Patrice Delmas

Wilfried Philips

Dan Popescu

Paul Scheunders

2020/2/5

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks

arXiv preprint arXiv:2312.14333

Gaël Gendron

Yang Chen

Mitchell Rogers

Yiping Liu

Mihailo Azhar

...

2023/12/21

Construction of a Novel Data Set for Pedestrian Tree Species Detection Using Google Street View Data

Advanced Concepts for Intelligent Vision Systems: 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings

Rachel Ababou

Kaiqi Zhao

Patrice Delmas

2023/11/13

Quantum annealing for computer vision minimization problems

arXiv preprint arXiv:2312.12848

Shahrokh Heidari

Michael J Dinneen

Patrice Delmas

2023/12/20

Underwater Mussel Segmentation Using Smoothed Shape Descriptors with Random Forest

David Arturo Soriano Valdez

Mihailo Azhar

Alfonso Gastelum Strozzi

Jen Hillman

Simon Thrush

...

2023/8/21

Towards time and cost‐efficient habitat assessment: Challenges and opportunities for benthic ecology and management

Stefano Schenone

Mihailo Azhar

Patrice Delmas

Simon F Thrush

2023/12

A Hybrid Quantum-Classical Segment-Based Stereo Matching Algorithm

Shahrokh Heidari

Patrice Delmas

2023/8/21

Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

Mitchell Rogers

Jacques Blanc-Talon

Martin Urschler

Patrice Delmas

2023/12

A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain Simulation

Alexander Woodward

Rui Gong

Ken Nakae

Patrice Delmas

2023/8/21

An RGB‐D framework for capturing soft‐sediment microtopography

Methods in Ecology and Evolution

Mihailo Azhar

Jenny R Hillman

Trevor Gee

Stefano Schenone

Wannes van der Mark

...

2022/8

Deep convolutional neural networks for regular texture recognition

PeerJ Computer Science

Ni Liu

Mitchell Rogers

Hua Cui

Weiyu Liu

Xizhi Li

...

2022/2/9

An equivalent QUBO model to the minimum multi-way cut problem

Shahrokh Heidari

Michael J Dinneen

Patrice Delmas

2022

Mapping the delivery of ecological functions combining field collected data and unmanned aerial vehicles (UAVs)

Ecosystems

Stefano Schenone

Mihailo Azhar

César Adrián Victoria Ramírez

Alfonso Gastelum Strozzi

Patrice Delmas

...

2021

An improved quantum solution for the stereo matching problem

Shahrokh Heidari

Mitchell Rogers

Patrice Delmas

2021/12/9

Advanced concepts for intelligent vision systems-ACIVS 2020

Jacques Blanc-Talon

Patrice Delmas

Wilfried Philips

Dan Popescu

Paul Scheunders

2020

CUDA implementation of a point cloud shape descriptor method for archaeological studies

David Arturo Soriano Valdez

Patrice Delmas

Trevor Gee

Patricio Gutierrez

Jose Luis Punzo-Diaz

...

2020

Development of a Virtual Environment Based Image Generation Tool for Neural Network Training

Rodrigo Terpán Arenas

Patrice Jean Delmas

Alfonso Gastelum Strozzi

2020/11/25

See List of Professors in Patrice Delmas University(University of Auckland)