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Dr Xun Li

Dr Xun Li

Casual Academic

• 2010-2013 PhD in Geomatic Engineering at the University of New South Wales -  Vision-based navigation with reality-based 3D maps.

• 2005-2009 Bachelor of Engineering (Honours equivalent) in Software Engineering at Wuhan University, China.

 

Engineering
Computer Science and Engineering
My area of research interest is computer vision for real-world applications: intelligent video surveillance, geospatial and agricultural systems.
 

I obtained my PhD degree from UNSW in late 2013, where I worked on integrating geo-spatial information with computer vision for vision-based mapping and navigation.

In 2014 I joined High Resolution Plant Phenomics Centre (HRPPC), CSIRO and worked in the software team to develop visual processing pipelines/software for agriculture applications. The main goal is to use computer vision technologies, such as machine learning, 3D reconstruction, point cloud processing, and image processing to analyse information collected from various plant phenotyping platforms (including helicopter, UAV, field robotics and controlled environment imaging platforms) and build automated systems for intelligent farming.

In early 2020 I returned to UNSW as a postdoctoral research associate. My current research project is using video analysis to build intelligent surveillance systems, focusing on pedestrian tracking and human action recognition.
 
E-mail
xun.li1@unsw.edu.au
  • Journal articles | 2023
    Nakagawa S; Lagisz M; Francis R; Tam J; Li X; Elphinstone A; Jordan NR; O’brien JK; Pitcher BJ; Van Sluys M; Sowmya A; Kingsford RT, 2023, 'Rapid literature mapping on the recent use of machine learning for wildlife imagery', Peer Community Journal, 3, http://dx.doi.org/10.24072/pcjournal.261
    Journal articles | 2023
    Onie S; Li X; Glastonbury K; Hardy RC; Rakusin D; Wong I; Liang M; Josifovski N; Brooks A; Torok M; Sowmya A; Larsen ME, 2023, 'Understanding and detecting behaviours prior to a suicide attempt: A mixed-methods study', Australian and New Zealand Journal of Psychiatry, 57, pp. 1016 - 1022, http://dx.doi.org/10.1177/00048674231152159
    Journal articles | 2022
    Li X; Onie S; Liang M; Larsen M; Sowmya A, 2022, 'Towards Building a Visual Behaviour Analysis Pipeline for Suicide Detection and Prevention', Sensors, 22, http://dx.doi.org/10.3390/s22124488
    Journal articles | 2021
    Onie S; Li X; Liang M; Sowmya A; Larsen ME, 2021, 'The Use of Closed-Circuit Television and Video in Suicide Prevention: Narrative Review and Future Directions (Preprint)', , http://dx.doi.org/10.2196/preprints.27663
    Journal articles | 2021
    Onie S; Li X; Liang M; Sowmya A; Larsen ME, 2021, 'The use of closed-circuit television and video in suicide prevention: narrative review and future directions', JMIR Mental Health, 8, http://dx.doi.org/10.2196/27663
    Journal articles | 2021
    Yu S; Li X; Ma M; Zhang X; Chen S, 2021, 'Multi-focus image fusion based on L1 image transform', Multimedia Tools and Applications, 80, pp. 5673 - 5700, http://dx.doi.org/10.1007/s11042-020-09877-4
    Journal articles | 2014
    Li X; Wang J, 2014, 'Image matching techniques for vision-based indoor navigation systems: A 3D map-based approach1', Journal of Location Based Services, 8, pp. 3 - 17, http://dx.doi.org/10.1080/17489725.2013.837201
    Journal articles | 2013
    Li X; Wang J; Li T, 2013, 'Seamless Positioning and Navigation by Using Geo-Referenced Images and Multi-Sensor Data', SENSORS, 13, pp. 9047 - 9069, http://dx.doi.org/10.3390/s130709047
    Journal articles | 2011
    Li X; Wang J; Knight N; Ding W, 2011, 'Vision-based positioning with a single camera and 3D maps: Accuracy and reliability analysis', Journal of Global Positioning Systems, Electronic, 10, pp. 19 - 29
    Journal articles | 2011
    Yuan Z; Li X; Wang J; Yuan Q; Xu D; Diao J, 2011, 'Methods of 3D map storage based on geo-referenced image database', Transactions of Nonferrous Metals Society of China, 21, pp. s654 - s658, http://dx.doi.org/10.1016/S1003-6326(12)61657-4
  • Conference Papers | 2021
    Liang M; Li X; Onie S; Larsen M; Sowmya A, 2021, 'Improved Spatio-temporal Action Localization for Surveillance Videos', in DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications, http://dx.doi.org/10.1109/DICTA52665.2021.9647106
    Conference Papers | 2019
    Li X; Bull G; Coe R; Eamkulworapong S; Scarrow J; Salim M; Schaefer M; Sirault X, 2019, 'High-Throughput Plant Height Estimation from RGB Images Acquired with Aerial Platforms: A 3D Point Cloud Based Approach', in 2019 Digital Image Computing: Techniques and Applications (DICTA), IEEE, pp. 1 - 8, presented at 2019 Digital Image Computing: Techniques and Applications (DICTA), 02 December 2019 - 04 December 2019, http://dx.doi.org/10.1109/dicta47822.2019.8945911
    Conference Papers | 2019
    Li X; Bull G; Coe R; Eamkulworapong S; Scarrow J; Salim M; Schaefer M; Sirault X, 2019, 'High-Throughput Plant Height Estimation from RGB Images Acquired with Aerial Platforms: A 3D Point Cloud Based Approach', in 2019 DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA), IEEE, AUSTRALIA, Perth, pp. 224 - 231, presented at APRS International Conference on Digital Image Computing - Techniques and Applications (DICTA), AUSTRALIA, Perth, 02 December 2019 - 04 December 2019, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000529063300032&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2015
    Li X; Zaragoza J; Kuffner P; Ansell P; Chuong N; Daily H; Furbank R; Sirault X, 2015, 'Growth Measurement of Arabidopsis in 2.5D from a High Throughput Phenotyping Platform', in Weber T; McPhee MJ; Anderssen RS (eds.), 21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015), MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC, AUSTRALIA, Gold Coast, pp. 517 - 523, presented at 21st International Congress on Modelling and Simulation (MODSIM) held jointly with the 23rd National Conference of the Australian-Society-for-Operations-Research / DSTO led Defence Operations Research Symposium (DORS, AUSTRALIA, Gold Coast, 29 November 2015 - 04 December 2015, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000410535400072&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2012
    Li X; Wang J, 2012, 'Image matching techniques for vision-based indoor navigation systems: Performance analysis for 3D map based approach', in Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, presented at 2012 International Conference on Indoor Positioning and Indoor Navigation, UNSW, Sydney, 13 November 2012 - 15 November 2012, http://www.surveying.unsw.edu.au/ipin2012/proceedings/home.php
    Conference Papers | 2012
    Li X; Wang J, 2012, 'Multi-image matching for 3D mapping in vision-based navigation applications', in Proc. Int. Conf. on Ubiquitous Positioning, Indoor Navigation & Location-Based Services, IEEE xplore, USA, pp. 1 - 8, presented at Int. Conf. on Ubiquitous Positioning, Indoor Navigation & Location-Based Services, Helsinki, 03 October 2012 - 04 October 2012, http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6409766
    Conference Papers | 2011
    Liu W; Li R; Wang J; Li X, 2011, 'Quality analysis for positioning using realistic image-based 3D maps', in 32nd Asian Conference on Remote Sensing 2011, ACRS 2011, Tapei, pp. 361 - 367, presented at 32nd Asian Conference on Remote Sensing 2011, ACRS 2011, Tapei, 03 October 2011 - 07 October 2011
    Conference Papers | 2009
    Li X; Huang M; Bian F, 2009, 'An Adaptive Dead-Reckoning Updating Policy for Continuous Query', in 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS, IEEE COMPUTER SOC, PEOPLES R CHINA, Shanghai, pp. 194 - 198, presented at International Conference on Artificial Intelligence and Computational Intelligence, PEOPLES R CHINA, Shanghai, 07 November 2009 - 08 November 2009, http://dx.doi.org/10.1109/AICI.2009.264
    Conference Papers | 2009
    Li X; Zhang Y; Li X, 2009, 'Local Area Network Anomaly Detection using Association Rules Mining', in 2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8, IEEE, PEOPLES R CHINA, Beijing, pp. 4678 - +, presented at 5th International Conference on Wireless Communications, Networking and Mobile Computing, PEOPLES R CHINA, Beijing, 24 September 2009 - 26 September 2009, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000275789402125&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

• 2017-2018 Merit Promotion, CSIRO
• 2010-2013 International Postgraduate Research Scholarship (IPRS)

Dr. Xun Li obtained her PhD degree from UNSW in 2013 on topic vision-based navigation. After graduation, she joined CSIRO to work on Plant Phenotyping and participated in several major projects, and played a key role in the development of the center's imaging platforms. She has currently returned UNSW to work as a research associate at CSE. Her research interests mainly focused on using computer vision for real-world applications:

- Agricultural applications: plant phenotyping via 3D reconstruction of plants, point cloud processing, traditional & machine-learning-based image analysis for RGB, thermal, and fluorescence cameras;

- CCTV: Machine learning (deep learning) for video analysis, such as pedestrian detection, tracking and behavior recognition;

- Geospatial applications: vision-based mapping and positioning;