| Hierarchical fine-grained image forgery detection and localization X Guo, X Liu, Z Ren, S Grosz, I Masi, X Liu (CVPR-2023) The IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 131 | 2023 |
| Human motion prediction via learning local structure representations and temporal dependencies X Guo, J Choi (AAAI-2019) Proceedings of the AAAI Conference on Artificial Intelligence 33 …, 2019 | 109 | 2019 |
| Cord19sts: Covid-19 semantic textual similarity dataset X Guo, H Mirzaalian, E Sabir, A Jaiswal, W Abd-Almageed arXiv preprint arXiv:2007.02461, 2020 | 43 | 2020 |
| Multi-domain learning for updating face anti-spoofing models X Guo, Y Liu, A Jain, X Liu (ECCV-2022 Oral) The European Conference on Computer Vision, 230-249, 2022 | 39 | 2022 |
| Assessment of facial morphologic features in patients with congenital adrenal hyperplasia using deep learning W AbdAlmageed, H Mirzaalian, X Guo, LM Randolph, ... JAMA network open 3 (11), e2022199-e2022199, 2020 | 21 | 2020 |
| Common Sense Reasoning for Deepfake Detection Y Zhang, B Colman, X Guo, A Shahriyari, G Bharaj (ECCV-2024) The European Conference on Computer Vision, 2024 | 16 | 2024 |
| MrGCN: mirror graph convolution network for relation extraction with long-term dependencies X Guo, I Hsu, W AbdAlmageed, P Natarajan, N Peng arXiv e-prints, arXiv: 2101.00124, 2020 | 13* | 2020 |
| Point cloud self-supervised learning via 3d to multi-view masked autoencoder Z Chen, X Guo, Y Li, L Jing, L Yang, B Li arXiv preprint arXiv:2311.10887, 2023 | 11 | 2023 |
| Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization X Guo, X Liu, I Masi, X Liu (IJCV-2024) International Journal of Computer Vision, 2024 | 5 | 2024 |
| Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network X Guo, V Asnani, S Liu, X Liu (NeurIPS-2024) Advances in Neural Information Processing Systems, 2023 | 5 | 2023 |
| Reverse Engineering of Deceptions on Machine-and Human-Centric Attacks Y Yao, X Guo, V Asnani, Y Gong, J Liu, X Lin, X Liu, S Liu Foundations and Trends® in Privacy and Security 6 (2), 53-152, 2024 | 4 | 2024 |
| On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection X Song, X Guo, J Zhang, Q Li, L Bai, X Liu, G Zhai, X Liu (NeurIPS-2024) Advances in Neural Information Processing Systems, 2024 | 3 | 2024 |
| Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction X Guo, M Tran, J Cheng, X Liu arXiv preprint arXiv:2412.18149, 2024 | | 2024 |
| Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending Y Pan, X Liu, S Luo, Y Xin, X Guo, X Liu, X Min, G Zhai arXiv preprint arXiv:2409.10958, 2024 | | 2024 |
| Hierarchical Fine-Grained Image Forgery Detection and Localization—Supplementary material— X Guo, X Liu, Z Ren, S Grosz, I Masi, X Liu | | |
| Supplementary Material: Multi-domain Learning for Updating Face Anti-spoofing Models X Guo, Y Liu, A Jain, X Liu | | |
Xiaoming LiuAnil K. and Nandita Jain Endowed Professor; MSU Foundation Professor, CSE, Michigan State UniversityZweryfikowany adres z cse.msu.edu
