Lei Wang

Orcid: 0000-0002-8600-7099

Affiliations:
  • Griffith University, Nathan, QLD, Australia
  • University of Western Australia, Department of Computer Science and Software Engineering, Crawley, WA, Australia (former)
  • CSIRO, Data61, Canberra, ACT, Australia (former)
  • iCetana Pty Ltd, Subiaco, WA, Australia (former)


According to our database1, Lei Wang authored at least 37 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Detecting Fake News Belief via Skin and Blood Flow Signals.
CoRR, May, 2025

Truth and Trust: Fake News Detection via Biosignals.
CoRR, May, 2025

Evolving Skeletons: Motion Dynamics in Action Recognition.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

The Journey of Action Recognition.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Do Language Models Understand Time?
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment.
Int. J. Comput. Vis., September, 2024

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight.
CoRR, 2024

When Spatial meets Temporal in Action Recognition.
CoRR, 2024

LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion.
CoRR, 2024

SignLLM: Sign Languages Production Large Language Models.
CoRR, 2024

Optimizing Calibration by Gaining Aware of Prediction Correctness.
CoRR, 2024

Advancing Anomaly Detection: An Adaptation Model and a New Dataset.
CoRR, 2024

Advancing Video Anomaly Detection: A Concise Review and a New Dataset.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SATO: Stable Text-to-Motion Framework.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Taylor Videos for Action Recognition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Multi-head Contrastive Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Motion meets Attention: Video Motion Prompts.
Proceedings of the Asian Conference on Machine Learning, 2024

2023
Flow Dynamics Correction for Action Recognition.
CoRR, 2023

AI in Software Engineering: Case Studies and Prospects.
CoRR, 2023

3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Tensor Representations for Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Uncertainty-DTW for Time Series and Sequences.
Proceedings of the Computer Vision - ECCV 2022, 2022

Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve.
CoRR, 2021

Analysis and Evaluation of Kinect-based Action Recognition Algorithms.
CoRR, 2021

High-order Tensor Pooling with Attention for Action Recognition.
CoRR, 2021

Leveraging Third-Order Features in Skeleton-Based Action Recognition.
CoRR, 2021

Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms.
IEEE Trans. Image Process., 2020

Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition.
CoRR, 2020

2019
Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition.
CoRR, 2019

Loss Switching Fusion with Similarity Search for Video Classification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


  Loading...