Shahrokh Heidari

Auckland Institute of Studies — New Zealand

Computer Science · Physical Sciences

10h-index540citations43works0.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Quantum Computing Algorithms and Architecture(15), Quantum Information and Cryptography(7), Quantum Mechanics and Applications(6), Advanced Neural Network Applications(3), Functional Brain Connectivity Studies(3)

Publications43 total

Recurrence over Video Frames (RoVF) for Animal Re-identification
International Journal of Computer Vision·2026Open Access
Brain/MINDS Marmoset Brain Atlas 2.0: Population Cortical Parcellation With Multi-Modal Templates
Scientific Data·2026Open Access
Zero-Shot Seafloor Sediment Microtopography Characterization Using Stereo from a Drifting Monocular Camera
Lecture notes in computer science·2026
Analysis of Long-Term Player Action Prediction Performance Based on Causal Modelling in Rugby League
Lecture notes in computer science·2026
Oceans and Algorithms: Building Successful Collaborations Between Marine Science and Computer Vision
Lecture notes in computer science·2026
Nissl-Stained Histological Slice Image Completion Based on Generated Masks
2025
AOD-RSE: Improved Dehazing Network for Object Detection Models in Self-Driving Scenarios
2025
Semi-Supervised Seafloor Habitat Classification: A Pseudo-Labeling Framework
2025
Tool-Assisted Annotation of Seafloor Sediment-Linked Features Using Weakly Supervised Semantic Segmentation
2025
Urchinbot: An open-source model for the rapid detection and classification of habitat-modifying sea urchin species
Marine Environmental Research·2025· 1 citedOpen Access
The Brain/MINDS 3D Digital Marmoset Brain Atlas Version 2.0: Population-Based Cortical Parcellations With Multi-Modal Standard Templates
2025Open Access
Exploring the application of knowledge transfer to sports video data
Frontiers in Sports and Active Living·2025· 3 citedOpen Access
Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks
2024· 3 cited
Vote-Based Line Aggregation for Sports Field Registration
2024
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
Neuroinformatics·2024· 3 citedOpen Access
A Deep Learning-Based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
2024Open Access
Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats
arXiv (Cornell University)·2024· 1 citedOpen Access
Quantum Annealing for Computer Vision minimization problems
Future Generation Computer Systems·2024· 4 citedOpen Access
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks
2024
Quantum Annealing for Computer Vision Minimization Problems
SSRN Electronic Journal·2024Open Access
page 1 of 3Next →

Frequent Co-authors

Patrice Delmas(24), Mitchell Rogers(15), Jiaxuan Wang(9), David Arturo Soriano Valdez(8), Mosayeb Naseri(7), Koji Nagata(7), G. Gendron(7), Mihailo Azhar(7), Ahmed Farouk(6), Alexander Woodward(6), Michael Witbrock(6), Reza Gheibi(5), Tadao Nakamura(5), Hiroshi Abe(5), Noritaka Ichinohe(5), K Knowles(5), Ruoshu Wang(4), Toshiki Tani(4), Padriac O’Leary(4), Simon F. Thrush(4)