Suivre
Weide Liu
Weide Liu
Harvard University;Nanyang Technological University
Adresse e-mail validée de childrens.harvard.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Crnet: Cross-reference networks for few-shot segmentation
W Liu, C Zhang, G Lin, F Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2062020
Splitting vs. merging: Mining object regions with discrepancy and intersection loss for weakly supervised semantic segmentation
T Zhang, G Lin, W Liu, J Cai, A Kot
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
732020
Guided Co-Segmentation Network for Fast Video Object Segmentation
W Liu, G Lin, T Zhang, Z Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2020
472020
Few-shot segmentation with optimal transport matching and message flow
W Liu, C Zhang, H Ding, TY Hung, G Lin
IEEE Transactions on Multimedia, 2021
372021
Weakly supervised segmentation with maximum bipartite graph matching
W Liu, C Zhang, G Lin, TY Hung, C Miao
Proceedings of the 28th ACM International Conference on Multimedia, 2085-2094, 2020
372020
Distilling Knowledge from Object Classification to Aesthetics Assessment
J Hou, H Ding, W Lin, W Liu, Y Fang
IEEE Transactions on Circuits and Systems for Video Technology, 2022
282022
Few-shot segmentation with global and local contrastive learning
W Liu, Z Wu, H Ding, F Liu, J Lin, G Lin
arXiv preprint arXiv:2108.05293, 2021
242021
Crcnet: Few-shot segmentation with cross-reference and region–global conditional networks
W Liu, C Zhang, G Lin, F Liu
International Journal of Computer Vision 130 (12), 3140-3157, 2022
192022
Interaction-matrix based personalized image aesthetics assessment
J Hou, W Lin, G Yue, W Liu, B Zhao
IEEE Transactions on Multimedia, 2022
152022
Cross-image region mining with region prototypical network for weakly supervised segmentation
W Liu, X Kong, TY Hung, G Lin
IEEE Transactions on Multimedia 25, 1148-1160, 2021
132021
Towards transparent deep image aesthetics assessment with tag-based content descriptors
J Hou, W Lin, Y Fang, H Wu, C Chen, L Liao, W Liu
IEEE Transactions on Image Processing, 2023
102023
Perceptual quality assessment of enhanced colonoscopy images: A benchmark dataset and an objective method
G Yue, D Cheng, T Zhou, J Hou, W Liu, L Xu, T Wang, J Cheng
IEEE Transactions on Circuits and Systems for Video Technology, 2023
72023
LCReg: Long-tailed image classification with Latent Categories based Recognition
W Liu, Z Wu, Y Wang, H Ding, F Liu, J Lin, G Lin
Pattern Recognition 145, 109971, 2024
6*2024
Benchmarking polyp segmentation methods in narrow-band imaging colonoscopy images
G Yue, G Zhuo, S Li, T Zhou, J Du, W Yan, J Hou, W Liu, T Wang
IEEE Journal of Biomedical and Health Informatics, 2023
52023
Integrating large pre-trained models into multimodal named entity recognition with evidential fusion
W Liu, X Zhong, J Hou, S Li, H Huang, Y Fang
arXiv preprint arXiv:2306.16991, 2023
42023
ELFNet: Evidential Local-global Fusion for Stereo Matching
J Lou, W Liu, Z Chen, F Liu, J Cheng
Proceedings of the IEEE/CVF Conference on International Conference on …, 2023
42023
Harmonizing base and novel classes: A class-contrastive approach for generalized few-shot segmentation
W Liu, Z Wu, Y Zhao, Y Fang, CS Foo, J Cheng, G Lin
International Journal of Computer Vision, 1-15, 2023
32023
Towards explainable recommendation via bert-guided explanation generator
H Zhan, L Li, S Li, W Liu, M Gupta, AC Kot
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching
R Gong, W Liu, Z Gu, X Yang, J Cheng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation
G Yue, G Zhuo, T Zhou, W Liu, T Wang, Q Jiang
IEEE Journal of Biomedical and Health Informatics, 2023
2023
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