4603. Computer vision and multimedia computation
| Title | 4603. Computer vision and multimedia computation |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication
Cui, Yi, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa. 2018. "Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication." 2018 IEEE International Symposium on Technologies for Homeland Security (HST). Woburn, United States 23 - 24 Oct 2018 Woburn, United States. https://doi.org/10.1109/THS.2018.8574151Paper
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
Spatio-Temporal Synchrophasor Data Characterization for Mitigating False Data Injection in Smart Grids
Cui, Yi, Wang, Weikang, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa. 2019. "Spatio-Temporal Synchrophasor Data Characterization for Mitigating False Data Injection in Smart Grids." 2020 IEEE Power and Energy Society General Meeting (PESGM). Atlanta, United States 04 - 08 Aug 2020 Atlanta, United States. https://doi.org/10.1109/pesgm40551.2019.8973586Paper
Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales
Yao, Wenxuan, Zhao, Jiecheng, Till, Micah J., You, Shutang, Liu, Yong, Cui, Yi and Liu, Yilu. 2017. "Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales." IEEE Access. 5, pp. 11166-11175. https://doi.org/10.1109/ACCESS.2017.2707060Article
Multimodality Information Fusion for Automated Machine Translation
Li, Lin, Tayir, Turghun, Han, Yifeng, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Multimodality Information Fusion for Automated Machine Translation." Information Fusion. 91, pp. 352-363. https://doi.org/10.1016/j.inffus.2022.10.018Article
A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement
Cui, Yi, Bai, Feifei, Liu, Yong and Liu, Yilu. 2018. "A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement." IEEE Transactions on Smart Grid. 9 (4), pp. 3914-3916. https://doi.org/10.1109/TSG.2018.2826444Article
Potential for machine vision of grain crop features for nitrogen assessment
McCarthy, Alison, Colaco, Andre, Richetti, Jonathan and Baillie, Craig. 2022. "Potential for machine vision of grain crop features for nitrogen assessment." 20th Australian Agronomy Conference (2022). Toowoomba, Australia Toowoomba, Australia.Paper
Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids
Cui, Yi, Bai, Feifei, Liu, Yilu, Fuhr, Peter L. and Morales-Rodriguez, Marissa E.. 2019. "Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids." IEEE Transactions on Smart Grid. 10 (5), pp. 5807-5818. https://doi.org/10.1109/tsg.2019.2891852Article
Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners
Bai, Feifei, Yan, Ruifeng, Saha, Tapan Kumar, Cui, Yi and Pan, Zicheng. 2021. "Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners." IEEE Transactions on Smart Grid. 12 (1), pp. 897-900. https://doi.org/10.1109/TSG.2020.3009841Article
Source Authentication of Distribution Synchrophasors for Cybersecurity of Microgrids
Cui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Ko, Ryan K. L. and Liu, Yilu. 2021. "Source Authentication of Distribution Synchrophasors for Cybersecurity of Microgrids." IEEE Transactions on Smart Grid. 12 (5), pp. 4577-4580. https://doi.org/10.1109/tsg.2021.3089041Article
Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
Zhu, Lin, Zhao, Yinfeng, Cui, Yi, You, Shutang, Yu, Wenpeng, Liu, Shengyuan, Yin, He, Chen, Chang, Wu, Yuru, Qiu, Wei, Mandich, Mirka, Li, Hongyu, Ademola, Adedasola, Zhang, Chengwen, Zeng, Chujie, Jia, Xinlan, Wang, Weikang, Yuan, Haoyu, Jiang, Huaiguang, ..., Liu, Yilu. 2021. "Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources." High Voltage. 6 (6), pp. 924-937. https://doi.org/10.1049/hve2.12157Article
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data
Cui, Yi, Bai, Feifei, Yin, Hongzhi, Chen, Tong, Dart, David, Zillmann, Matthew and Ko, Ryan K. L.. 2022. "Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data." IEEE Transactions on Smart Grid. 13 (6), pp. 4957-4960. https://doi.org/10.1109/tsg.2022.3207066Article
Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids
Cui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Mosadeghy, Mehdi, Yin, Hongzhi, Ko, Ryan K. L. and Liu, Yilu. 2022. "Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids." IEEE Transactions on Smart Grid. 13 (2), pp. 1658-1661. https://doi.org/10.1109/tsg.2021.3132536Article
Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks
Cui, Yi, Bai, Feifei, Saha, Tapan and Yaghoobi, Jalil. 2022. "Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks." International Journal of Electrical Power and Energy Systems. 139, pp. 1-10. https://doi.org/10.1016/j.ijepes.2022.108009Article
Data Source Authentication for Wide-Area Synchrophasor Measurements Based On Spatial Signature Extraction and Quadratic Kernel SVM
Liu, Shengyuan, You, Shutang, Yin, He, Lin, Zhenzhi, Liu, Yilu, Cui, Yi, Yao, Wenxuan and Sundaresh, Lakshmi. 2022. "Data Source Authentication for Wide-Area Synchrophasor Measurements Based On Spatial Signature Extraction and Quadratic Kernel SVM." International Journal of Electrical Power and Energy Systems. 140, pp. 1-13. https://doi.org/10.1016/j.ijepes.2022.108083Article
Realizing multifractality of smart meter data for household characteristic prediction
Cui, Yi, Yan, Ruifeng, Sharma, Rahul, Saha, Tapan and Horrocks, Neil. 2022. "Realizing multifractality of smart meter data for household characteristic prediction." International Journal of Electrical Power and Energy Systems. 139, pp. 1-11. https://doi.org/10.1016/j.ijepes.2022.108003Article
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
Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages
Munawar, Hafiz Suliman, Ullah, Fahim, Heravi, Amirhossein, Thaheem, Muhammad Jamaluddin and Maqsoom, Ahsen. 2022. "Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages." Drones. 6 (1), pp. 1-23. https://doi.org/10.3390/drones6010005Article
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
EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification
Li, Zongxi, Chen, Xinhong, Xie, Haoran, Li, Qing and Tao, Xiaohui. 2021. "EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification." He, Jing, Purohit, Hemant, Huang, Guangyan, Gao, Xiaoying and Deng, Ke (ed.) 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020). Melbourne, Australia 14 - 17 Dec 2020 Massachusetts, United States. https://doi.org/10.1109/WIIAT50758.2020.00036Paper
Feature-aware unsupervised learning with joint variational attention and automatic clustering
Wang, Ru, Li, Lin, Wang, Peipei, Tao, Xiaohui and Liu, Peiyu. 2021. "Feature-aware unsupervised learning with joint variational attention and automatic clustering." 25th International Conference on Pattern Recognition (ICPR 2020). Milan, Italy 10 - 15 Jan 2021 United States. https://doi.org/10.1109/ICPR48806.2021.9412522Paper
Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control
Peng, Yuquan, Li, Lin, Xie, Qing and Tao, Xiaohui. 2021. "Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control." U, Leong Hou, Spaniol, Marc, Sakurai, Yasushi and Chen, Junying (ed.) 5th International Joint Conference on Asia-Pacific Web and Web-Age Information Management, Part II (APWeb-WAIM 2021). Guangzhou, China 23 - 25 Aug 2021 Switzerland. Springer. https://doi.org/10.1007/978-3-030-85899-5_29Paper
Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications
Kuai, Hongzhi, Chen, Jianhui, Tao, Xiaohui, Imamura, Kazuyuki, Liang, Peipeng and Zhong, Ning. 2021. "Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications." Mahmud, Mufti, Kaiser, M. Shamim, Vassanelli, Stefano, Dai, Qionghai and Zhong, Ning (ed.) 14th International Conference on Brain Informatics (BI 2021). Online Cham, Switzerland. https://doi.org/10.1007/978-3-030-86993-9_10Paper
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan and Tao, Xiaohui. 2021. "What is Next when Sequential Prediction Meets Implicitly Hard Interaction?" 30th ACM International Conference on Information and Knowledge Management (CIKM 2021). Queensland, Australia 01 - 05 Nov 2021 New York, United States. https://doi.org/10.1145/3459637.3482492Paper
Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
Sadiq, Muhammad Tariq, Akbar, Hesam, Siuly, Siuly, Li, Yan Li and Wen, Peng (Paul). 2022. "Alcoholic EEG signals recognition based on phase space dynamic and geometrical features." Chaos, Solitons and Fractals. 158, pp. 1-12. https://doi.org/10.1016/j.chaos.2022.112036Article
A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Li, Zhaoyang, Li, Lin, Peng, Yuquan and Tao, Xiaohui. 2020. "A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting." Alamaniotis, Miltos and Pan, Shimei (ed.) 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020). Baltimore, United States 09 - 11 Nov 2020 Piscataway, United States. https://doi.org/10.1109/ICTAI50040.2020.00063Paper
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
Moving Objects Segmentation in Video Sequence based on Bayesian network
Duong, Thach-Thao and Duong, Anh-Duc. 2010. "Moving Objects Segmentation in Video Sequence based on Bayesian network." 8th IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future (RIVF 2010). Hanoi, Vietnam 01 - 04 Nov 2010 https://doi.org/10.1109/RIVF.2010.5633458Paper
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
Biased instantaneous regional muscle activation maps: Embedded fuzzy topology and image feature analysis
De la Fuente, Carlos, Weinstein, Alejandro, Neira, Alejandro, Valencia, Oscar, Cruz-Montecinos, Carlos, Silvestre, Rony, Pincheira, Patricio A., Palma, Felipe and Carpes, Felipe P.. 2022. "Biased instantaneous regional muscle activation maps: Embedded fuzzy topology and image feature analysis." Frontiers in Bioengineering and Biotechnology. 10. https://doi.org/10.3389/fbioe.2022.934041Article
Machine vision tools for Smarter Irrigation of dairy pasture and cotton
McCarthy, Alison, Foley, Joseph, Jamali, Hizbullah, Raedts, Pieter and Hills, James. 2022. "Machine vision tools for Smarter Irrigation of dairy pasture and cotton." 2022 Irrigation Australia Conference and Exhibition. Adelaide, Australia 05 - 07 Oct 2022 Australia.Presentation
Smarter Irrigation for Profit 2 RRDP2002 Precise real-time automated cotton and dairy irrigation for improved water productivity
Foley, J., Gillies, M., McCarthy, A., Kelderman, S., Eberhard, J. and Shippam, R.. 2022. Smarter Irrigation for Profit 2 RRDP2002 Precise real-time automated cotton and dairy irrigation for improved water productivity. Narrabri, Australia.. Cotton Research and Development Corporation.Technical report
Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203
Heimoana, Simone, Blankley, S. and McCarthy, Alison. 2022. Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203. Australia. Cotton Research and Development Corporation.Technical report
Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek. 2022. Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation . Australia. Cotton Research and Development Corporation.Technical report
Cotton health assessment and yield prediction
McCarthy, Alison and Baillie, Craig. 2022. Cotton health assessment and yield prediction. United States. John Deere.Technical report
Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support
Bramley, Rob, Whelan, Brett, Colaco, André, McCarthy, Alison, Richetti, Jonathan, Lawes, Roger, Fajardo, Mario, Bender, Asher, Pothula, Anand, Baillie, Craig, Perry, Eileen, Fitzgerald, Glenn, Clancy, Alex, Leo, Stephen and Grace, Peter. 2022. Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support. Australia. Grains Research and Development Corporation.Technical report