460306. Image processing
Title | 460306. Image processing |
---|---|
Parent | 4603. Computer vision and multimedia computation |
Latest research outputs
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PollenNet: A Novel Deep Learning Architecture for High Precision Pollen Grain Classification through Deep Learning and Explainable AI
Shamrat, F M Javed Mehedi, Idris, Mohd Yamani Idna, Zhou, Xujuan, Khalid, Majdi, Sharmin, Sharmin, Sharmin, Zeseya, Ahmed, Kawsar and Moni, Mohammad Ali. 2024. "PollenNet: A Novel Deep Learning Architecture for High Precision Pollen Grain Classification through Deep Learning and Explainable AI ." Heliyon. 10 (19). https://doi.org/10.1016/j.heliyon.2024.e38596Article
A customised vision transformer for accurate detection and classification of Java Plum leaf disease
Bhowmik, Auvick Chandra, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "A customised vision transformer for accurate detection and classification of Java Plum leaf disease ." Smart Agricultural Technology . 8. https://doi.org/10.1016/j.atech.2024.100500Article
Epidemic Source Identification Based on Infection Graph Learning
Hong, Xingyun, Yu, Ting, Li, Zhao and Zhang, Ji. 2024. "Epidemic Source Identification Based on Infection Graph Learning." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2303-4_16Paper
Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation
Yang, Gaoming, Ding, Yifeng, Fang, Xianjin, Zhang, Ji and Chu, Yan. 2024. "Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation." The Visual Computer. https://doi.org/10.1007/s00371-024-03414-2Article
A graph-powered large-scale fraud detection system
Li, Zhao, Wang, Biao, Huang, Jiaming, Jin, Yilun, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2024. "A graph-powered large-scale fraud detection system." International Journal of Machine Learning and Cybernetics. 15 (1), p. 115–128. https://doi.org/10.1007/s13042-023-01786-wArticle
Trajectory Analysis of the Hayabusa2 Capsule from a Single Airborne Observation
Zander, Fabian, Buttsworth, David R., Birch, Byrenn and Payne, Allan. 2024. "Trajectory Analysis of the Hayabusa2 Capsule from a Single Airborne Observation." Journal of Spacecraft and Rockets. 61 (1). https://doi.org/10.2514/1.A35719Article
Optical aerodynamic measurements of hypersonic free-flight using Bayesian state estimation
Lock, Andrew, Armstrong, Gerard, Hack, Flynn, Birch, Byrenn, Buttsworth, David and Jahn, Ingo. 2023. "Optical aerodynamic measurements of hypersonic free-flight using Bayesian state estimation." AIAA Aviation 2023 Forum . San Diego, United States 12 202 - 16 Jun 2023 United States. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2023-3713Paper
Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation
Wang, Yani, Zhang, Ji, Zhou, Xiangmin and Zhang, Yang. 2023. "Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation." 6th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2022). Nanjing, China 25 - 27 Nov 2022 Switzerland . https://doi.org/10.1007/978-3-031-25201-3_13Paper
FDS_2D: rethinking magnitude-phase features for DeepFake detection
Yang, Gaoming, Wei, Anxing, Fang, Xianjin and Zhang, Ji. 2023. "FDS_2D: rethinking magnitude-phase features for DeepFake detection." Multimedia Systems. 29 (4), pp. 2399-2413. https://doi.org/10.1007/s00530-023-01118-6Article
Facial depth forgery detection based on image gradient
Xu, Kun, Yang, Gaoming, Fang, Xianjin and Zhang, Ji. 2023. "Facial depth forgery detection based on image gradient." Multimedia Tools and Applications. 82 (19), pp. 29501-29525. https://doi.org/10.1007/s11042-023-14626-4Article
Future farming: Machine vision for in-season nitrogen assessment of grain crops
McCarthy, Alison and Baillie, Craig. 2020. "Future farming: Machine vision for in-season nitrogen assessment of grain crops." 2020 Precision Agriculture Symposium Webinar. Virtual 30 Sep 2020 Sydney, Australia.Presentation
Future farming: Machine vision for nitrogen assessment in grain crops
McCarthy, Alison and Baillie, Craig. 2020. "Future farming: Machine vision for nitrogen assessment in grain crops." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.Paper
Smartphone apps under development to aid pest monitoring
McCarthy, Alison, Long, Derek and Grundy, Paul. 2020. "Smartphone apps under development to aid pest monitoring." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.Paper
Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning
Wang, Ru, Li, Lin, Wang, Peipei, Tao, Xiaohui and Liu, Peiyu. 2022. "Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning." Multimedia Tools and Applications. 81 (24), p. 34309–34324. https://doi.org/10.1007/s11042-021-11597-2Article
Civil infrastructure damage and corrosion detection: an application of machine learning
Munawar, Hafiz Suliman, Ullah, Fahim, Shahzad, Danish, Heravi, Amirhossein, Qayyum, Siddra and Akram, Junaid. 2022. "Civil infrastructure damage and corrosion detection: an application of machine learning." Buildings. 12 (2). https://doi.org/10.3390/buildings12020156Article
Objective Construction of Ground Truth Images
Smith, Mark, Maiti, Ananda, Maxwell, Andrew and Kist, Alexander A.. 2021. "Objective Construction of Ground Truth Images." Auer, Michael E. and May, Dominik (ed.) 17th International Conference on Remote Engineering and Virtual Instrumentation (REV 2020). Athens, United States 26 - 28 Feb 2020 Switzerland. Springer. https://doi.org/10.1007/978-3-030-52575-0_24Paper
Human Photogrammetry: Foundational Techniques for Creative Practitioners
Boe, Trendt and Carter, Chris. 2020. "Human Photogrammetry: Foundational Techniques for Creative Practitioners." International Journal of Computer Graphics and Animation (IJCGA). 10 (1), pp. 1-20. https://doi.org/10.5121/ijcga.2020.10101Article
Automated variety trial plot growth and flowering detection for maize and soybean using machine vision
McCarthy, Alison and Raine, Steven. 2022. "Automated variety trial plot growth and flowering detection for maize and soybean using machine vision." Computers and Electronics in Agriculture. 194, pp. 1-21. https://doi.org/10.1016/j.compag.2022.106727Article
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining
Wu, Youxi, Wang, Xiaohui, Li, Yan, Guo, Lei, Li, Zhao, Zhang, Ji and Wu, Xindong. 2022. "OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining." ACM Transactions on Management Information Systems. 13 (3), pp. 1-23. https://doi.org/10.1145/3476247Article
High accuracy smartphone video calibration for human foot surface mapping
Al-Kharaz, Ali A. and Chong, Albert K.. 2018. "High accuracy smartphone video calibration for human foot surface mapping." 2018 3rd IEEE International Conference on Image, Vision and Computing (ICIVC 2018). Chongqing, China 27 - 29 Jun 2018 New York, United States. https://doi.org/10.1109/ICIVC.2018.8492792Paper
A convolution-deconvolution method for improved storage and communication of remotely-sensed image data
Scarmana, Gabriel and McDougall, Kevin. 2018. "A convolution-deconvolution method for improved storage and communication of remotely-sensed image data." Larar, Allen M., Suzuki, Makoto and Wang, Jianyu (ed.) 11th SPIE Asia-Pacific Remote Sensing Symposium 2018: Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII. Honolulu, United States 24 - 26 Sep 2018 Bellingham, Washington, United States. https://doi.org/10.1117/12.2324451Paper
Application of deep learning on UAV-based aerial images for flood detection
Munawar, Hafiz Suliman, Ullah, Fahim, Qayyum, Siddra and Heravi, Amirhossein. 2021. "Application of deep learning on UAV-based aerial images for flood detection." Smart Cities. 4 (3), pp. 1220-1243. https://doi.org/10.3390/smartcities4030065Article
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. "Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images." IEEE Intelligent Informatics Bulletin. 20 (1), pp. 42-44.Article
An improved non-local means filter for color image denoising
Wang, Gaihua, Liu, Yang, Xiong, Wei and Li, Yan. 2018. "An improved non-local means filter for color image denoising." Optik. 173, pp. 157-173. https://doi.org/10.1016/j.ijleo.2018.08.013Article
Gender differences in foot morphology of Middle Eastern adults using close-range photogrammetry technique
Al-Kharaz, Ali A. and Chong, Albert. 2021. "Gender differences in foot morphology of Middle Eastern adults using close-range photogrammetry technique." 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2021). Malysia 03 - 04 Apr 2021 Malaysia. IEEE. pp. 301-306 https://doi.org/10.1109/ISCAIE51753.2021.9431779Paper
Investigation of tri-planar range of motion of ankle according to gender using photogrammetry technique
Al-Kharaz, Ali and Chong, Albert. 2020. "Investigation of tri-planar range of motion of ankle according to gender using photogrammetry technique." IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2020). Taipa, China 21 - 24 Aug 2020 United States. https://doi.org/10.1109/ICSPCC50002.2020.9259455Paper
Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates
Al-Shemarry, Meeras Salman and Li, Yan. 2020. "Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates." IEEE Access. 8, pp. 170951-170966. https://doi.org/10.1109/ACCESS.2020.3024625Article
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805Article
A process for the accurate reconstruction of pre-filtered and compressed digital aerial images
Scarmana, Gabriel and McDougall, Kevin. 2020. "A process for the accurate reconstruction of pre-filtered and compressed digital aerial images." 11th International Symposium on Digital Earth (ISDE 11). Florence, Italy 24 - 27 Sep 2019 Florence, Italy. https://doi.org/10.1088/1755-1315/509/1/012047Paper
Pedobarography assessment of hindfoot gender in Middle Eastern adults during gait
Al-Kharaz, Ali A., Chong, Albert and Abbas, Nibras S.. 2020. "Pedobarography assessment of hindfoot gender in Middle Eastern adults during gait." Wysocki, Tadeusz A. and Wysocki, Beata J. (ed.) 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019). Gold Coast, Australia 16 - 18 Dec 2019 United States. https://doi.org/10.1109/ICSPCS47537.2019.9008466Paper
Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133Edited book (chapter)
Impact of anthropometric characteristics on the medial longitudinal arch in static and dynamic loading using photogrammetry images
Al-Kharaz, Ali A. and Chong, Albert K.. 2020. "Impact of anthropometric characteristics on the medial longitudinal arch in static and dynamic loading using photogrammetry images." Series on Biomechanics. 34 (2), pp. 56-61.Article
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034Article
Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045Article
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2020. "An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions." IEEE Transactions on Intelligent Transportation Systems. 21 (2), pp. 553-564. https://doi.org/10.1109/TITS.2019.2897990Article
Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system
Long, Derek. 2018. Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5f643ba5ce22bPhD Thesis
High-resolution image generation using warping transformations
Scarmana, Gabriel. 2009. "High-resolution image generation using warping transformations." Assuncao, P. and Faria, S. (ed.) 2009 International Conference on Signal Processing and Multimedia Applications (SIGMAP 2009) . Milan, Italy 07 - 10 Jul 2009 Milan, Italy. https://doi.org/10.5220/0002225900490056Paper
Image fusion and enhancement using triangulated irregular networks
Scarmana, G.. 2017. "Image fusion and enhancement using triangulated irregular networks." Remondino, Fabio and Shortis, Mark R. (ed.) Videometrics, Range Imaging and Applications XIV Conference . Munich, Germany 26 - 29 Jun 2017 Bellingham, Washington, United States. https://doi.org/10.1117/12.2279443Paper
Data selection in EEG signals classification
Wang, Shuaifang, Li, Yan, Wen, Peng and Lai, David. 2016. "Data selection in EEG signals classification." Physical and Engineering Sciences in Medicine. 39 (1), pp. 157-165. https://doi.org/10.1007/s13246-015-0414-xArticle
Row and water front detection from UAV thermal-infrared imagery for furrow irrigation monitoring
Long, Derek, McCarthy, Cheryl and Jensen, Troy. 2016. "Row and water front detection from UAV thermal-infrared imagery for furrow irrigation monitoring." 2016 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2016). Banff, Canada 12 - 15 Jul 2016 https://doi.org/10.1109/AIM.2016.7576783Paper