Adelaide Research & Scholarship
Browsing "Australian Institute for Machine Learning publications" by Author Chen, Y.
Showing results 1 to 4 of 4
Preview | Issue Date | Title | Author(s) |
| 2022 | ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification | Liu, F.; Tian, Y.; Chen, Y.; Liu, Y.; Belagiannis, V.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana) |
| 2023 | Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling | Wang, H.; Chen, Y.; Ma, C.; Avery, J.C.; Hull, M.L.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17 Jun 2023 - 24 Jun 2023 : Vancouver, Canada) |
| 2022 | Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes | Tian, Y.; Liu, Y.; Pang, G.; Liu, F.; Chen, Y.; Carneiro, G.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv, Israel) |
| 2023 | Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images | Tian, Y.; Liu, F.; Pang, G.; Chen, Y.; Liu, Y.; Verjans, J.W.; Singh, R.; Carneiro, G. |