| Completeness modeling and context separation for weakly supervised temporal action localization D Liu, T Jiang, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 269 | 2019 |
| Deep reinforcement learning for surgical gesture segmentation and classification D Liu, T Jiang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 85 | 2018 |
| Diffusion Action Segmentation D Liu, Q Li, AD Dinh, T Jiang, M Shah, C Xu International Conference on Computer Vision (ICCV), 2023 | 83 | 2023 |
| Towards unified surgical skill assessment D Liu, Q Li, T Jiang, Y Wang, R Miao, F Shan, Z Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 80 | 2021 |
| Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark M Wagner, BP Müller-Stich, A Kisilenko, D Tran, P Heger, L Mündermann, ... Medical image analysis 86, 102770, 2023 | 74 | 2023 |
| Unsupervised surgical instrument segmentation via anchor generation and semantic diffusion D Liu, Y Wei, T Jiang, Y Wang, R Miao, F Shan, Z Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 40 | 2020 |
| Surgical skill assessment on in-vivo clinical data via the clearness of operating field D Liu, T Jiang, Y Wang, R Miao, F Shan, Z Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 15 | 2019 |
| Towards Memorization-Free Diffusion Models C Chen, D Liu, C Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 14 | 2024 |
| PixelAsParam: A Gradient View on Diffusion Sampling with Guidance AD Dinh, D Liu, C Xu International Conference on Machine Learning (ICML), 2023 | 11 | 2023 |
| Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution Z Qiu, H Yang, J Fu, D Liu, C Xu, D Fu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 10 | 2023 |
| Calibrating a Deep Neural Network with Its Predecessors L Tao, M Dong, D Liu, C Sun, C Xu International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 7 | 2023 |
| Clearness of operating field: a surrogate for surgical skills on in vivo clinical data D Liu, T Jiang, Y Wang, R Miao, F Shan, Z Li International Journal of Computer Assisted Radiology and Surgery 15, 1817-1824, 2020 | 7 | 2020 |
| Boosting diffusion models with an adaptive momentum sampler X Wang, AD Dinh, D Liu, C Xu International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 6 | 2024 |
| Rethinking Conditional Diffusion Sampling with Progressive Guidance AD Dinh, D Liu, C Xu Advances in Neural Information Processing Systems 36, 2023 | 6 | 2023 |
| Collage prompting: Budget-friendly visual recognition with gpt-4v S Xu, Y Wang, D Liu, C Xu arXiv preprint arXiv:2403.11468, 2024 | 5 | 2024 |
| Personalized Image Generation for Color Vision Deficiency Population S Jiang, D Liu, D Li, C Xu International Conference on Computer Vision (ICCV), 2023 | 4 | 2023 |
| Private image generation with dual-purpose auxiliary classifier C Chen, D Liu, S Ma, S Nepal, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Beyond pretrained features: Noisy image modeling provides adversarial defense Z You, D Liu, B Han, C Xu Advances in Neural Information Processing Systems 36, 2023 | 3 | 2023 |
| Efficient transfer learning in diffusion models via adversarial noise X Wang, B Lin, D Liu, C Xu arXiv preprint arXiv:2308.11948, 2023 | 2 | 2023 |
| Contrastive Sampling Chains in Diffusion Models J Zhang, D Liu, S Zhang, C Xu Conference on Neural Information Processing Systems (NeurIPS), 2023 | 2 | 2023 |
Chang XuUniversity of SydneyVerificeret mail på sydney.edu.au