Follow
Yongyi Lu
Yongyi Lu
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Transunet: Transformers make strong encoders for medical image segmentation
J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou
arXiv preprint arXiv:2102.04306, 2021
35012021
Conditional cyclegan for attribute guided face image generation
Y Lu, YW Tai, CK Tang
arXiv preprint arXiv:1705.09966 4, 2017
2672017
Attribute-guided face generation using conditional cyclegan
Y Lu, YW Tai, CK Tang
Proceedings of the European conference on computer vision (ECCV), 282-297, 2018
2162018
Image generation from sketch constraint using contextual gan
Y Lu, S Wu, YW Tai, CK Tang
Proceedings of the European conference on computer vision (ECCV), 205-220, 2018
1572018
Online video object detection using association LSTM
Y Lu, C Lu, CK Tang
Proceedings of the IEEE international conference on computer vision, 2344-2352, 2017
1562017
Domain adaptive relational reasoning for 3d multi-organ segmentation
S Fu, Y Lu, Y Wang, Y Zhou, W Shen, E Fishman, A Yuille
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
1392020
Clip-driven universal model for organ segmentation and tumor detection
J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, B A Landman, Y Yuan, A Yuille, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
812023
Glance-and-gaze vision transformer
Q Yu, Y Xia, Y Bai, Y Lu, AL Yuille, W Shen
Advances in Neural Information Processing Systems 34, 12992-13003, 2021
682021
Integrating graph partitioning and matching for trajectory analysis in video surveillance
L Lin, Y Lu, Y Pan, X Chen
IEEE transactions on Image Processing 21 (12), 4844-4857, 2012
652012
Complexity-adaptive distance metric for object proposals generation
Y Xiao, C Lu, E Tsougenis, Y Lu, CK Tang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
472015
Can temporal information help with contrastive self-supervised learning?
Y Bai, H Fan, I Misra, G Venkatesh, Y Lu, Y Zhou, Q Yu, V Chandra, ...
arXiv preprint arXiv:2011.13046, 2020
432020
Squid: Deep feature in-painting for unsupervised anomaly detection
T Xiang, Y Zhang, Y Lu, AL Yuille, C Zhang, W Cai, Z Zhou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
372023
Beyond holistic object recognition: Enriching image understanding with part states
C Lu, H Su, Y Li, Y Lu, L Yi, CK Tang, LJ Guibas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
322018
Towards a solid solution of real-time fire and flame detection
B Jiang, Y Lu, X Li, L Lin
Multimedia Tools and Applications 74 (3), 689-705, 2015
312015
MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification
J Chen, J Chen, Z Zhou, B Li, A Yuille, Y Lu
arXiv preprint arXiv:2112.01767, 2021
212021
Asap-net: Attention and structure aware point cloud sequence segmentation
H Cao, Y Lu, C Lu, B Pang, G Liu, A Yuille
arXiv preprint arXiv:2008.05149, 2020
202020
Detection-free multiobject tracking by reconfigurable inference with bundle representations
L Lin, Y Lu, C Li, H Cheng, W Zuo
IEEE transactions on cybernetics 46 (11), 2447-2458, 2015
202015
The felix project: Deep networks to detect pancreatic neoplasms
Y Xia, Q Yu, L Chu, S Kawamoto, S Park, F Liu, J Chen, Z Zhu, B Li, ...
medRxiv, 2022.09. 24.22280071, 2022
182022
Making your first choice: To address cold start problem in vision active learning
L Chen, Y Bai, S Huang, Y Lu, B Wen, AL Yuille, Z Zhou
arXiv preprint arXiv:2210.02442, 2022
172022
Segmentation for classification of screening pancreatic neuroendocrine tumors
Z Zhu, Y Lu, W Shen, EK Fishman, AL Yuille
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
132021
The system can't perform the operation now. Try again later.
Articles 1–20