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ALI ZIA

ANU, CSIRO, Latrobe Uni., Griffith Uni., COMSATS

Publications

Showing 21-40 of 70 publications
Title Year Cited by
BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery
X Li, Z Hayder, A Zia, C Cassidy, S Liu, W Stiller, E Stone, W Conaty, ...
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025
2025 0
Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images
A Zia, J Zhou, M Olayemi
arXiv preprint arXiv:2501.16700, 2025
2025 0
Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation
A Zia, M Husnain, S Buck, J Richetti, E Hulm, JP Ral, V Rolland, X Sirault
Current Research in Food Science 10, 101030, 2025
2025 0
Topological deep learning: a review of an emerging paradigm
ESLP Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan ...
Artificial Intelligence Review 57 (77), 2024
2024 58
TopoX: a suite of Python packages for machine learning on topological domains
M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ...
Journal of Machine Learning Research 25 (374), 1-8, 2024
2024 19
Next-generation interfaces: integrating liquid crystal technologies in augmented and virtual reality–A review
A Zia, S Saeed, T Man, H Liu, CX Chen, Y Wan
Liquid Crystals Reviews 12 (1), 30-56, 2024
2024 13
Optimizing broadband antireflection with Au micropatterns: a combined FDTD simulation and two-beam LIL approach
S Saeed, A Zia, R Liu, D Liu, L Cao, Z Wang
Applied Optics 63 (5), 1394-1401, 2024
2024 7
An Improved IoT Device Fingerprinting via Enhanced Feature Selection
MM Mir, M Awrangjeb, WL Tan, A Zia
2024 17th International Conference on Signal Processing and Communication …, 2024
2024 3
Mmcbe: Multi-modality dataset for crop biomass estimation and beyond
X Li, Z Hayder, A Zia, C Cassidy, S Liu, W Stiller, E Stone, W Conaty, ...
2024 International Conference on Digital Image Computing: Techniques and …, 2024
2024 3
NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery
X Li, Z Hayder, A Zia, C Cassidy, S Liu, W Stiller, E Stone, W Conaty, ...
arXiv preprint arXiv:2410.23901, 2024
2024 3
Computational adaptive telescope imaging via self-interference digital holography
W Zhang, T Man, H Zhou, M Zhang, A Zia, Y Wan
Optics and Lasers in Engineering 178, 108188, 2024
2024 3
A Comparative Analysis of IoT Device Fingerprinting Methods
MM Mir, WL Tan, M Awrangjeb, A Zia
2024 34th International Telecommunication Networks and Applications …, 2024
2024 2
Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement
MU Ramzan, A Zia, A Khamis, A Elgharabawy, A Liaqat, U Ali
2024 International Conference on Digital Image Computing: Techniques and …, 2024
2024 2
Sstd: Stripe-like space target detection using single-point weak supervision
Z Zhu, A Zia, X Li, B Dan, Y Ma, E Liu, R Zhao
arXiv preprint arXiv:2407.18097, 2024
2024 1
Sstd: Stripe-like space target detection using single-point supervision
Z Zhu, A Zia, X Li, B Dan, Y Ma, E Liu, R Zhao
arXiv e-prints, arXiv: 2407.18097, 2024
2024 1
A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection
Z Long, A Zia, J Nelis, V Rolland, J Zhou
2024 International Conference on Digital Image Computing: Techniques and …, 2024
2024 0
Application of Deep Learning Models: An Innovative Approach for Early Weed Detection in Agriculture
A Zia, A Ameer, T Hussain, A Latif
ASA, CSSA, SSSA International Annual Meeting, 2024
2024 0
Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement
M Umer Ramzan, A Zia, A Khamis, A Liaqat, U Ali
arXiv e-prints, arXiv: 2411.19005, 2024
2024 0
MMCBE
X Li, Z Hayder, A Zia, C Cassidy, S Liu, W Stiller, E Stone, W Conaty, ...
Institute of Electrical and Electronics Engineers Inc., 2024
2024 0
Icml 2023 topological deep learning challenge: Design and results
M Papillon, M Hajij, A Myers, H Jenne, J Mathe, T Papamarkou, ...
Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023
2023 10

Citations

All Since 2019
Citations 535 451
h-index 10 10
i10-index 11 10

Recent Publication Abstracts:

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Book chapter:

Ali Zia, and Jie Liang. “3D plant modelling using spectral data from visible to near-infrared range”, of book, “Computer Vision and Pattern Recognition in Environmental Informatics”, by IGI Global Publication, 2015.

Journals:

  1. Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric Stone and Lars Petersson. “Topological Deep Learning: A Review of an Emerging Paradigm”, A.I. Reviews, 2024. (Impact Factor: 12)
  2. Ali Zia, Jun Zhou, and Yongsheng Gao. “Exploring chromatic aberration and defocus blur for relative depth estimation from monocular hyperspectral Image”, IEEE Transactions on Image Processing (IEEE TIP),30:4357-4370, 2021. (Impact factor: 11)
  3. Usman Bashir Tayab, Ali Zia, Fuwen Yang, Junwei Lu, and Muhammad Kashif. “Short-term load forecasting for microgrid energy management system using hybrid HHO-FNN model with best-basis stationary wavelet packet transform”, Energy, 203, 117857, 2020. (Impact factor: 9)
  4. Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, and Alan Wee-Chung Liew. “Spectral-spatial scale-invariant feature transform for hyperspectral images”, IEEE Transactions on Image Processing (IEEE TIP), 27(2):837-850, 2018. (Impact factor: 11)
  5. Mustafa Hajij, Mathilde Papillon, Ali Zia et. al. “TopoX: A Suite of Python Packages for Machine Learning on Topological Domains”, Journal of Machine Learning Research,2024. (submitted)
    Arxiv Link: https://arxiv.org/abs/2402.02441
  6. Salma Shahid; Gufran Khan; Sajid Anwer; Shahnawaz Qureshi; Ali Zia “Empowering Real-Time Speech Information Retrieval: A Hybrid-Transformer  Approach for Accurate Urdu Keyword Spotting”, Pattern Recognition Letters, 2024 (submitted)
  7. Syed Abu Huraira Hussain, Imran Raza, Syed Asad Hussain, Muhammad Hasan Jamal, Tauseef Gulrez, Ali Zia “A Mental State-Aware Brain Computer Interface for Adaptive Control of Electric Powered Wheelchair”, Medical & Biological Engineering & Computing, 2024 (submitted)
  8. Zunaira Anwer, Muhammad Zeeshan Iqbal, Shahnawaz Qureshi, Ali Zia, Sajid Answer, Seppo Karrila “Predicting User Behavior on Video Streaming by Using Watch-Time Duration Analysis”, Computer in Human Behaviour,2023. (Under Review).
  9. Ali Zia, Jing Wang, Asif Ameer “Deep learning methods in UAV-based sensing for agriculture: a survey” Computers and Electronics in Agriculture, 2024. (To Submit).
  10. Asif Ameer, Ali Zia, Shahnawaz Qureshi, Ahsan Latif, Seppo Karrila “Comparing the Effectiveness of  Vision Transformer and Single point proposal SAM in Early Weed Detection”, Computers and Electronics in Agriculture, 2024. (To Submit).
  11. Usman Bashir Tayab, Ali Zia, Kazi Nazmul Hasan, Rakibuzzaman Shah, Syed Islam, Brendan McGrath. “Artificial Intelligence Based Optimum Battery Sizing and Energy Management for Grid-connected Microgrid” To Submit to IEEE Transactions on Sustainable Energy, 2024 (To Submit).
  12. Bakhtiar Ali, Ali Zia, Han Xu, Robert Sang, Igor V. Litvinyuk, Maksym Rybachuk “Modelling and multi-objective optimization of an ultrashort femtosecond (30-fs) laser micromachining of diamond” To Submit to International Journal of Machine Tools and Manufacture, 2024 (To Submit).
    Arxiv Link: https://arxiv.org/abs/2302.03836
  13. Yajie Sun, Ali Zia, Vivien Rolland, and Jun Zhou, “Spectral 3D Computer Vision – A Review”. AI Reviews, 2024, (To Submit).
    Arxiv Link: https://arxiv.org/abs/2302.08054
  14. Zekun Long, Ali Zia, Vivien Rolland and Jun Zhou. Advancing Meat Safety: A Benchmark Analysis of Hyperspectral Imaging Unmixing Techniques for Detection of Meat Contamination. (To Submit).

Conferences:

  1. Xuesong Li, Zeeshan Hayder, Ali Zia, Vivien Rollands et al, “A Novel Multi-modality Dataset for Advancing Crop Biomass Estimation and Beyond” CVPR workshop on Vision for Agriculture, 2024.
  2. Xuesong Li, Zeeshan Hayder, Ali Zia, Vivien Rollands et al. Generalized BioNet: Bridging the Gap between Image and Point Cloud for Biomass Prediction, WACV,2024. (To Submit)
  3. Zijian Zhu, Ali Zia, Member, Xuesong Li, Yuebo Ma, Enhai Liu, and Rujin Zhao Stripe-like Space Target Detection in Intense Stray Lights with Single-point Weakly Supervision. ECCV,2024.(To Submit)
  4. Yajie Sun, Ali Zia, Yi Liao and Jun Zhou, Enhancing Explainability and Mitigating Local Feature Bias in Point Cloud Classification via Attention-Based Recurrent Frameworks. ECCV,2024. (To Submit)
  5. Ali Zia, Renuka Sharma et. al. “Zooming In on Animal Action: A Review from Coarse to Fine-Grained Recognition Techniques”. IJCAI 2024. (Submitted)
  6. Shahnawaz Qureshi, Salma Shaid, Muhammad Gufran Khan, Sajid Answer,  Seppo Karrila and Ali Zia. Empowering Real-Time Speech Information Retrieval: A Hybrid Transformer Approach for Accurate Urdu Keyword Spotting, IJCAI 2024 (Submitted)
  7. Ali Zia et. al. Topological Deep Learning Challenge: Design and Results – White Paper, ICML Topological Deep Learning Challenge 2023. Links: https://proceedings.mlr.press/v221/papillon23a.html , https://arxiv.org/abs/2309.15188
  8. Pranav Pativada,Zeeshan Hayder,Ali Zia and Nick Barnes. Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation, DICTA,2023 (Runner-Up Paper award).
  9. Yifan Zhou, Md Rakibul Hasan, Md Mahbub Hasan, Ali Zia and Md Zakir Hossain How do native and non-native listeners differ? Investigation with dominant frequency bands in auditory evoked potential, ICONIP, 2023.
  10. Ali Zia, Renuka Sharma, Vivien Rolland, Arablouei, Reza, Lars Petersson, Aaron Ingram. “CVB: A Video Dataset of Cattle Visual Behaviors”, CVPR workshop on animal behavior, 2023.
  11. Yajie Sun, Ali Zia, and Jun Zhou, “MultiScale Representations Learning Transformer Framework for Point Cloud Classification”, IEEE International Conference on Image Processing (ICIP), 2023.
  12. Yajie Sun, Ali Zia, and Jun Zhou “High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion”, IJCNN workshop on Multimodal Synthetic Data for Deep Neural Networks (MSynD), 2023.
  13. D. Bao, J. Zhou, S. A. Bhuiyan, A. Zia, R. Ford, and Y. Gao, “Early Detection of Sugarcane Smut Disease in Hyperspectral Images,” International Conference on Image and Vision Computing New Zealand (IVCNZ), pp. 1-6, 2021.
  14. Usman Bashir Tayab, Junwei Lu, Fuwen Yang, Mojaharul Islam, Ali Zia, and Jahangir Hossain. “Microgrid energy management system for academic building”, The Australasian Universities Power Engineering Conference (AUPEC), 2019.
  15. Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, and AlanWee-Chung Liew. “Material-based boundary detection in hyperspectral images”, In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017.
  16. Ali Zia, Jun Zhou, and Yongsheng Gao. “Relative depth estimation from hyperspectral data”, In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015.
  17. Ali Zia, Jie Liang, Jun Zhou, and Yongsheng Gao. “3D reconstruction from hyperspectral images”, In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), pages 318-325, Waikoloa Beach, Hawaii, 2015.
  18. Jie Liang, Ali Zia, Jun Zhou, and Xavier Sirault. “3D plant modeling via hyperspectral imaging”, International Conference on Computer Vision (ICCV) Workshop on Computer Vision for Accelerated Bioscience, 2013.
  19. Ali Zia, T. Gulrez and T. Chaudhry “Heterogeneous Sensor Fusion Framework for Autonomous Mobile Robot Obstacle Avoidance” 10th International Conference on Intelligent Systems Design and Application, 2010.
  20. T. Chaudhry, T. Gulrez and Ali Zia “B’ezier Curve based Dynamic Obstacle Avoidance and Trajectory Learning for Autonomous Mobile Robots” 10th International Conference on Intelligent Systems Design and Application, 2010.
  21. Ali Zia, S. Bhatti “Object Recognition using SIFT feature over fastly extracted Salient Map” International Conference on Intelligence and Information Technology 2010.
  22. Ali Zia, J.-H. Huang, J. Zhou, and A. Robles-Kelly. “Content-based image retrieval via subspace-projected salient features”. In Proceedings of the international conference on Digital Image Computing: Techniques and Applications (DICTA), pages 593–599, December 2008.