Lei Wang Email & Phone Number

Nathan, Qld, Au

TIME Lab is a dynamic research team composed of master’s and honours students from ANU, engaged in final-year research projects under the expert guidance of Dr. Lei Wang. Established in February 2024, our team is dedicated to advancing the fields of video processing, dynamics, and motion analysis, addressing both academic challenges and industry needs.Our research spans diverse domains, with a particular focus on enhancing safety, security, future cities, IoT, agribusiness, and defence, including applications in health and innovative industries. We are committed to developing cutting-edge techniques for real-time analysis and efficient video data processing to improve performance and safety across these areas.Time Lab members have forged strong collaborations with industry partners, CSIRO’s Data61, and have built academic partnerships with institutions such as the University of Central Florida and Curtin University.We are a team driven by passion, discipline, and a strong work ethic, expertly balancing our commitments to work, study, and life. United by our belief in making meaningful contributions to science, we strive to push the boundaries of knowledge, one step at a time.

Canberra, Australian Capital Territory, Au

- Grant: I am a Co-Investigator (Co-I) on 'Sharing early insights for more resilient communities'- Grant / Project Award from Oracle (AU$48,000) for Research on 'Automatic, large-scale screening of failure cases in autonomous driving'- Invited talk on 'Action Recognition: Past, Present and Future' hosted by Harbin Institute of Technology, Shenzhen, China- NCI Adaptater Scheme Q4 2023: I am a Chief Investigator (CI) on 'Towards building general-purpose multimodal foundation models'- I am serving as an Area Chair for ICPR 2024- Grant: I am a Co-Investigator (Co-I) on 'Review of Xailient’s technical pipeline of facial recognition'- I am serving as an Area Chair for ACM Multimedia 2024- The NCI National AI Flagship Merit Allocation Scheme: I am a Lead CI on 'Robust anomaly detection in human-centric videos'- National Computational Merit Allocation Scheme (NCMAS 2024): I am a CI / Delegated lead CI on 'MotionNetLite: Video Dynamics Distillation for Scalable Models'- I am serving as a Guest Editor for the MDPI open-access journal Electronics special issue on ‘Motion-centric Video Processing’- One paper has been accepted at ICML 2024- As the ANU TechLauncher community, we are a finalist in the Business & Industry category for the iAwards 2024- As the ANU TechLauncher community, we are an ACT Merit recipient in the Student & Education category for the iAwards 2024- One paper has been accepted at ECCV 2024- One paper has been accepted at ACM-MM 2024- I lead a dynamic research team of ANU master's and honours students at the TIME Lab- One paper has been accepted at ACML 2024 as a long presentation (26% overall acceptance rate, 5.67% for long presentations)- As the ANU TechLauncher community, we are proud to be a finalist in the inaugural Australian AI Awards 2024- One paper has been accepted at NeurIPS D&B Track (25.3% acceptance rate)- I am serving as an Area Chair for ICASSP 2025- I am an Outstanding Area Chair for ACM Multimedia 2024

Sydney, New South Wales, Au

Sydney, New South Wales, Au

- Postgraduate Research Student at Machine Learning Research Group / Data Analytics / Data61- PhD Student at ANU and Data61/CSIRO- One paper each published at CVPR, ICCV, ECCV, ACM-MM, TPAMI & TIP- Received the Sang Uk Lee Best Student Paper Award from ACCV’22- Granted the research award of Doctor of Philosophy (01/11/2023)- 2 papers (one oral) have been accepted for ICASSP 2024- One paper has been accepted for the IJCV special issue

Sydney, New South Wales, Au

- Supervisor: Dr. Piotr Koniusz- Project title: "Meta Learning for Action Classification from Large-scale Datasets"- Research group/business unit: Machine Learning Research Group/Data Analytics/Data61- Analyse large-scale benchmark video datasets on human action recognition.- Evaluate existing state-of-art techniques on human action recognition.- Research, design and implement novel computer vision and deep learning algorithms.

Port Charlotte, Florida, Us

- Active Intelligence Australia PTY Limited, Central Park, Level 32 152 St. Georges Terrace, Perth, WA 6000- provide the following services as needed: self-learning, anomaly detection software for the video security industry- provide all necessary equipment and software required to perform the Services- create certain executable software, source code and project files- Filed a patent [US provisional patent, SN 63/326,525]- Raised 1.2 million US dollars (~1.79 million Australian dollars)- Granted the Incentive Unit Award (09/09/2022-08/09/2032)- Francis and I established the Active Intelligence Research Challenge Award

Barranquilla, Atlantico, Co

- Research in machine learning for Alice-Guardian- Develop the AI techniques for Alice-Guardian- Research and develop technologies for detecting people and weapons, and unusual actions (e.g., fighting, climbing a fence)- Maximise processing efficiency to minimise per camera hardware costs- Researched & delivered an anomaly detection system (Alice Guardian smart video surveillance)

Perth, Western Australia, Au

- Casual Appointment (20%)- Research the application of computer vision and machine learning techniques to iCetana video surveillance issues- Develop prototypes based on iCetana R&D project methodologies that demonstrate operation within agreed constraints- Communicate progress to stakeholders in meetings and formal reports- Work with developers to help transition work from R&D into a production environment- Keep up to date with the latest research developments in machine learning and computer vision- Work with patent attorneys and other parties to patent intellectual property (including helping with drafting of patent applications)- Maintain project documentation to iCetana R&D standards (including Juypter notebooks, Confluence documents, Github repositories)- Collaborate with other iCetana team members in the course of these duties- Filed a provisional patent [AU Patent AU 2,019,903,775]

Perth, Western Australia, Au

- Supervisor: Dr. Moussa Reda Mansour- Research, design, implement, and evaluate novel computer vision algorithms.- Work on large-scale datasets, focusing on building scalable and accurate computer vision systems.- Develop and evaluate metrics to measure and validate reliability of the proposed algorithms.- Collaborate closely with team members to develop Proof of Concepts and Prototypes that meets minimal requirements and demonstrate the underlying technology.- Contribute to research projects that apply and refine open source algorithms in computer vision to video analytics.- Help to identify the state-of-the-art algorithms and test their effectiveness with datasets, anomaly detection and other businesses of interest.- Filed a provisional patent [AU Patent AU 2,019,900,316]

Perth, Western Australia, Au

- Supervisor: A/Prof Du Q. Huynh- Develop and adapt advanced computer vision and state-of-art deep learning techniques for human action recognition.- Research, design and implement novel computer vision algorithms for spatiotemporal feature fusion in human action recognition.- Research, design and implement novel techniques for content-based video retrieval and shot boundary detection.

Perth, Western Australia, Au

- Teaching Assistant position for the unit CITS5508 Machine Learning- Set assignment questions- Supervise laboratory classes- Help with assignment marking

Doctor Of Philosophy - Phd, Computer Science

Master Of Engineering - Meng, Software Engineering