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 64 papers between 2019 and 2026.

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

2026
Test-Time Self-Adaptive Conditioning for Stable Audio-Driven Talking-Head Generation.
CoRR, May, 2026

Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation.
CoRR, May, 2026

Uncertainty-DTW for Sequences and Visual Tokens.
CoRR, May, 2026

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment.
CoRR, May, 2026

End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking.
CoRR, May, 2026

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection.
CoRR, May, 2026

Subspace Kernel Learning on Tensor Sequences.
CoRR, March, 2026

Detecting Fake News Belief via Skin and Blood Flow Signals.
IEEE Access, 2026

RadioAR: Autoregressive Modeling for Accurate Radio Map Estimation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Talking-Head Generation in Practice.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

TIME 2026: 2nd International Workshop on Transformative Insights in Multi-faceted Evaluation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Beyond Fine-Tuning: The Present and Future of Parameter-Efficient Fine-Tuning in Vision Transformers.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Rethinking Object Detection and Tracking.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Fine-Grained Visual Understanding for Multimodal and Trustworthy AI.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Towards Better Evaluation Metrics for Text-to-Motion Generation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint).
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning Time in Static Classifiers.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Feature Hallucination for Self-supervised Action Recognition.
Int. J. Comput. Vis., November, 2025

Graph Your Own Prompt.
CoRR, September, 2025

Video Understanding by Design: How Datasets Shape Architectures and Insights.
CoRR, September, 2025

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

FreqSelect: Frequency-Aware fMRI-to-Image Reconstruction.
CoRR, May, 2025

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization.
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

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

SignLLM: Sign Language Production Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 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 37: 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
Neural computing and applications (NCAA) special issue on best of DICTA 2019 papers.
Neural Comput. Appl., 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


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