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ORCIDDustin van der Haar
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- affiliation: University of Johannesburg, South Africa
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Journal Articles
- 2023
[j1]Wardah Farrukh, Dustin van der Haar
:
Lip print-based identification using traditional and deep learning. IET Biom. 12(1): 1-12 (2023)
Conference and Workshop Papers
- 2024
- [c40]Mulaedza Mathoho, Dustin van der Haar, Hima Vadapalli:
Innovations in Mosquito Identification: Integrating Deep Learning with Citizen Science. AIiH (2) 2024: 189-202 - [c39]Francois Volschenk, Hima Vadapalli, Dustin van der Haar:
Exercise Recognition and Repetition Counting for Automatic Workout Documentation Using Computer Vision. HCI (28) 2024: 298-309 - [c38]Anton Johan Röscher, Dustin van der Haar:
Fetal Health Classification Using One-Dimensional Convolutional Neural Network. ICPRAM 2024: 671-678 - 2023
- [c37]Mpho Mashika, Dustin van der Haar:
Mel Frequency Cepstral Coefficients and Support Vector Machines for Cough Detection. HCI (19) 2023: 250-259 - [c36]Tafadzwa Blessing Chiura, Dustin van der Haar:
Offensive Play Recognition of Basketball Video Footage Using ActionFormer. HCI (43) 2023: 447-454 - [c35]Mapula Elisa Maeko, Dustin van der Haar:
Ethical implications of using artificial intelligence for multimodal biometric selection model evaluation. ICICT 2023: 232-238 - [c34]Jarred Orfao, Dustin van der Haar:
Analysis of Generative Data Augmentation for Face Antispoofing. ICPRAM (Revised Selected Papers) 2023: 69-94 - [c33]Jarred Orfao, Dustin van der Haar:
Keyframe and GAN-Based Data Augmentation for Face Anti-Spoofing. ICPRAM 2023: 629-640 - [c32]Steven Wessels, Dustin van der Haar:
Using a Genetic Algorithm to Update Convolutional Neural Networks for Abnormality Classification in Mammography. ICPRAM 2023: 790-797 - [c31]Zeerak Mohammad Baig, Dustin van der Haar:
Facial Paralysis Recognition Using Face Mesh-Based Learning. ICPRAM 2023: 881-888 - [c30]Jared Chad Swanzen, Kyle Thomas Botes, Husnaa Molvi, Omphile Monchwe, Dan Phala, Dustin van der Haar:
Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java Microbenchmarks. ICPE (Companion) 2023: 89-93 - 2022
- [c29]Zibusiso Bhango, Dustin van der Haar:
A Comparison of Deep Learning Methods for Inebriation Recognition in Humans. ICIAP (1) 2022: 610-620 - [c28]Dane Lang, Dustin van der Haar:
ConDense: Multiple Additional Dense Layers with Fine-Grained Fully-Connected Layer Optimisation for Fingerprint Recognition. ICPRAI (2) 2022: 15-27 - [c27]Wardah Farrukh, Dustin van der Haar:
Lip-Based Identification Using YOLOR. ICPRAI (2) 2022: 91-101 - [c26]Tevin Moodley, Dustin van der Haar:
CASA: Cricket Action Similarity Assessment in Video Footage Using Deep Metric Learning. SACAIR 2022: 139-153 - [c25]Mapula Elisa Maeko, Dustin van der Haar:
A Model for Biometric Selection in Public Services Sector. SACAIR 2022: 323-334 - 2021
- [c24]Steven Wessels, Dustin van der Haar:
Using Particle Swarm Optimization with Gradient Descent for Parameter Learning in Convolutional Neural Networks. CIARP 2021: 119-128 - [c23]Tevin Moodley, Dustin van der Haar:
Cricket Scene Analysis Using the RetinaNet Architecture. CIARP 2021: 197-206 - [c22]Jarred Orfao, Dustin van der Haar:
A Comparison of Computer Vision Methods for the Combined Detection of Glaucoma, Diabetic Retinopathy and Cataracts. MIUA 2021: 30-42 - 2020
- [c21]Margaux Fourie, Dustin van der Haar:
Computer Vision for the Ballet Industry: A Comparative Study of Methods for Pose Recognition. BIS 2020: 118-129 - [c20]Kayleigh Joy Slogrove, Dustin van der Haar:
Specific Language Impairment Detection Through Voice Analysis. BIS 2020: 130-141 - [c19]Tevin Moodley, Dustin van der Haar:
CASRM: Cricket Automation and Stroke Recognition Model Using OpenPose. HCI (18) 2020: 67-78 - [c18]Margaux Fourie, Dustin van der Haar:
A Feature Importance Study in Ballet Pose Recognition with OpenPose. HCI (37) 2020: 243-254 - [c17]Tevin Moodley, Dustin van der Haar:
Scene Recognition Using AlexNet to Recognize Significant Events Within Cricket Game Footage. ICCVG 2020: 98-109 - [c16]Ruan Spijkerman, Dustin van der Haar:
Video Footage Highlight Detection in Formula 1 Through Vehicle Recognition with Faster R-CNN Trained on Game Footage. ICCVG 2020: 176-187 - 2019
- [c15]Siphesihle Sithungu, Dustin van der Haar:
Real-Time Age Detection Using a Convolutional Neural Network. BIS (2) 2019: 245-256 - [c14]Zibusiso Bhango, Dustin van der Haar:
A Model for Inebriation Recognition in Humans Using Computer Vision. BIS (1) 2019: 259-270 - [c13]Dustin Terence van der Haar:
Student Emotion Recognition in Computer Science Education: A Blessing or Curse? HCI (25) 2019: 301-311 - [c12]Elton Shah Aly, Dustin Terence van der Haar:
Slang-Based Text Sentiment Analysis in Instagram. ICICT (2) 2019: 321-329 - [c11]Nnaemeka Obodoekwe, Dustin Terence van der Haar:
A Comparison of Machine Learning Methods Applicable to Healthcare Claims Fraud Detection. ICITS 2019: 548-557 - [c10]Mapula Elisa Maeko, Dustin van der Haar:
A Critical Analysis of Requirements and Recommendations for Multi-modal Access Control in Hospitals. ICITS 2019: 730-743 - 2018
- [c9]Zibusiso Bhango, Dustin van der Haar:
Eigennose: Assessing Nose-Based Principal Component Analysis for Achieving Access Control with Occluded Faces. ICISA 2018: 175-183 - [c8]Kudzaishe Mhou, Dustin van der Haar:
A Review of Threat Profiling Techniques for Use in Concealed Weapon Detection Systems. ICISA 2018: 201-209 - [c7]Margaux Fourie, Dustin van der Haar:
Ballet Pose Recognition: A Bag-of-Words Support Vector Machine Model for the Dance Training Environment. ICISA 2018: 317-325 - [c6]Jihyun Byun, Dustin van der Haar:
Pronunciation Detection for Foreign Language Learning Using MFCC and SVM. ICISA 2018: 327-335 - [c5]Tevin Moodley, Dustin van der Haar:
Comparisons in Drinking Water Systems Using K-Means and A-Priori to Find Pathogenic Bacteria Genera. ICISA 2018: 351-359 - [c4]Dustin Terence van der Haar:
Real-Time Face Antispoofing Using Shearlets. ISSA (Revised Selected Papers) 2018: 16-29 - [c3]Nnaemeka Obodoekwe, Dustin Terence van der Haar:
A Critical Analysis of the Application of Data Mining Methods to Detect Healthcare Claim Fraud in the Medical Billing Process. UNet 2018: 320-330 - 2017
- [c2]Dustin Terence van der Haar:
Portable computer vision-based cardiac estimation as a teaching aid. ICCIP 2017: 439-443 - 2013
- [c1]Dustin van der Haar, Basie von Solms:
Are Biometric Web Services a Reality? - A Best Practice Analysis for Telebiometric Deployment in Open Networks. SECRYPT 2013: 494-499
Editorship
- 2016
- [e1]Frans F. Blauw, Marijke Coetzee, Duncan Anthony Coulter, Elize M. Ehlers, Wai Sze Leung, Carl Marnewick, Dustin van der Haar:
Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, SAICSIT 2016, Johannesburg, South Africa, September 26-28, 2016. ACM 2016, ISBN 978-1-4503-4805-8 [contents]
Coauthor Index
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last updated on 2024-09-10 02:11 CEST by the dblp team
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