I’m a Ph.D student of the Research School of Computing at the Australian National University. My research on computer vision and machine learning is supervised by Prof. Nick Barnes and Dr. Russell Tsuchida. Before that, I received my master degree, majoring the computer vision and machine learning, from the Australian National University in 2020.

My research focuses on the trustworthiness of deep neural networks in computer vision, including model calibration, Out-of-Distribution Detection and Uncertainty Estimation. I’m also interested in the adversarial robustness and the explainability of the deep neural networks.

Publication

Model Calibration in Dense Classification with Adaptive Label Perturbation
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
International Conference on Computer Vision (ICCV), 2023
[Paper] [Github]

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes
International Conference on Computer Vision (ICCV), 2023
[Paper] [Github]

Homography Guided Temporal Fusion foro Road Line and Marking Segmentation
Shan Wang, Chuong Nguyen, Jiawei Liu, Kaihao Zhang, Wenhan Luo, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Hongdong Li
International Conference on Computer Vision (ICCV), 2023
[Paper]

Modeling Aleatoric Uncertainty for Camouflaged Object Detection
Jiawei Liu, Jing Zhang, Nick Barnes
Winter Conference on Applications of Computer Vision (WACV), 2022
[Paper] [Github]

Learning Structure-Aware Semantic Segmentation with Image-Level Supervision
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes
International Joint Conference on Neural Networks (IJCNN), 2021
[Paper] [Github]