Yanwu Xu
Cited by
Cited by
Twin auxilary classifiers gan
M Gong, Y Xu, C Li, K Zhang, K Batmanghelich
Advances in neural information processing systems 32, 2019
Hierarchical amortized GAN for 3D high resolution medical image synthesis
L Sun, J Chen, Y Xu, M Gong, K Yu, K Batmanghelich
IEEE journal of biomedical and health informatics 26 (8), 3966-3975, 2022
Generative-discriminative complementary learning
Y Xu, M Gong, J Chen, T Liu, K Zhang, K Batmanghelich
AAAI2020, 2019
Multi-scale masked 3-D U-net for brain tumor segmentation
Y Xu, M Gong, H Fu, D Tao, K Zhang, K Batmanghelich
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
Dsanet: Dynamic segment aggregation network for video-level representation learning
W Wu, Y Zhao, Y Xu, X Tan, D He, Z Zou, J Ye, Y Li, M Yao, Z Dong, Y Shi
Proceedings of the 29th ACM International Conference on Multimedia, 1903-1911, 2021
Unaligned image-to-image translation by learning to reweight
S Xie, M Gong, Y Xu, K Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Maximum spatial perturbation consistency for unpaired image-to-image translation
Y Xu, S Xie, W Wu, K Zhang, M Gong, K Batmanghelich
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Ufogen: You forward once large scale text-to-image generation via diffusion gans
Y Xu, Y Zhao, Z Xiao, T Hou
arXiv preprint arXiv:2311.09257, 2023
Adversarial consistency for single domain generalization in medical image segmentation
Y Xu, S Xie, M Reynolds, M Ragoza, M Gong, K Batmanghelich
International Conference on Medical Image Computing and Computer-Assisted …, 2022
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices
Y Zhao, Y Xu, Z Xiao, T Hou
arXiv preprint arXiv:2311.16567, 2023
3d-boxsup: Positive-unlabeled learning of brain tumor segmentation networks from 3d bounding boxes
Y Xu, M Gong, J Chen, Z Chen, K Batmanghelich
Frontiers in Neuroscience 14, 350, 2020
Robust angular local descriptor learning
Y Xu, M Gong, T Liu, K Batmanghelich, C Wang
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models
S Xie, Y Zhao, Z Xiao, KCK Chan, Y Li, Y Xu, K Zhang, T Hou
arXiv preprint arXiv:2312.03771, 2023
Box-adapt: Domain-adaptive medical image segmentation using bounding boxsupervision
Y Xu, M Gong, S Xie, K Batmanghelich
arXiv preprint arXiv:2108.08432, 2021
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Y Xu, M Gong, S Xie, W Wei, M Grundmann, K Batmanghelich, T Hou
arXiv preprint arXiv:2306.12511, 2023
Unpaired image-to-image translation with shortest path regularization
S Xie, Y Xu, M Gong, K Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Compressed self-attention for deep metric learning
Z Chen, M Gong, Y Xu, C Wang, K Zhang, B Du
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3561-3568, 2020
Towards general purpose vision foundation models for medical image analysis: An experimental study of DINOv2 on radiology benchmarks
M Baharoon, W Qureshi, J Ouyang, Y Xu, K Phol, A Aljouie, W Peng
arXiv preprint arXiv:2312.02366, 2023
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images
Y Xu, L Sun, W Peng, S Visweswaran, K Batmanghelich
arXiv preprint arXiv:2310.03559, 2023
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
M Gao, YW Xu, Y Zhao, T Hou, C Zhao, M Gong
arXiv preprint arXiv:2305.15732, 2023
The system can't perform the operation now. Try again later.
Articles 1–20