| Transfusion: multi-view divergent fusion for medical image segmentation with transformers D Liu, Y Gao, Q Zhangli, L Han, X He, Z Xia, S Wen, Q Chang, Z Yan, ... International conference on medical image computing and computer-assisted …, 2022 | 42 | 2022 |
| Proxedit: Improving tuning-free real image editing with proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 39 | 2024 |
| Improving negative-prompt inversion via proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ... arXiv preprint arXiv:2306.05414 3, 2023 | 24 | 2023 |
| Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method Q Chang, Z Yan, M Zhou, D Liu, K Sawalha, M Ye, Q Zhangli, M Kanski, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 21 | 2022 |
| Region proposal rectification towards robust instance segmentation of biological images Q Zhangli, J Yi, D Liu, X He, Z Xia, Q Chang, L Han, Y Gao, S Wen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 16 | 2022 |
| Dealing with heterogeneous 3d mr knee images: A federated few-shot learning method with dual knowledge distillation X He, C Tan, B Liu, L Si, W Yao, L Zhao, D Liu, Q Zhangli, Q Chang, K Li, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 13 | 2023 |
| Lepard: Learning explicit part discovery for 3d articulated shape reconstruction D Liu, A Stathopoulos, Q Zhangli, Y Gao, D Metaxas Advances in Neural Information Processing Systems 36, 54187-54198, 2023 | 12 | 2023 |
| Harnessing the power of artificial intelligence to teach cleft lip surgery LR Sayadi, US Hamdan, Q Zhangli, RM Vyas Plastic and Reconstructive Surgery–Global Open 10 (7), e4451, 2022 | 12 | 2022 |
| Sign language video anonymization Z Xia, Y Chen, Q Zhangli, M Huenerfauth, C Neidle, D Metaxas Proceedings of the LREC2022 10th Workshop on the Representation and …, 2022 | 9 | 2022 |
| Deformer: Integrating transformers with deformable models for 3d shape abstraction from a single image D Liu, X Yu, M Ye, Q Zhangli, Z Li, Z Zhang, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| Second-order graph odes for multi-agent trajectory forecasting S Wen, H Wang, D Liu, Q Zhangli, D Metaxas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| Deep deformable models: Learning 3d shape abstractions with part consistency D Liu, L Zhao, Q Zhangli, Y Gao, T Liu, DN Metaxas arXiv preprint arXiv:2309.01035, 2023 | 4 | 2023 |
| Layout-agnostic scene text image synthesis with diffusion models Q Zhangli, J Jiang, D Liu, L Yu, X Dai, A Ramchandani, G Pang, ... 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2024 | 3 | 2024 |
| Harnessing machine-learning to personalize cleft lip markings JB Hu, A Guan, Q Zhangli, LR Sayadi, US Hamdan, RM Vyas Plastic and Reconstructive Surgery–Global Open 8 (9S), 150-151, 2020 | 2 | 2020 |
| Deep Physics-based Deformable Models for Efficient Shape Abstractions D Liu, L Zhao, Y Gao, Q Zhangli, T Liu, DN Metaxas | 1 | 2023 |
| Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation Q Zhangli, D Liu, A Aich, D Metaxas, S Schulter arXiv preprint arXiv:2409.09893, 2024 | | 2024 |
| ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance (Supplementary Materials) L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... | | |
| Supplementary Material for DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image XY Di Liu, M Ye, Q Zhangli, Z Li, Z Zhang, DN Metaxas | | |
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityPotvrđena adresa e-pošte na cs.rutgers.edu