Weifeng Ge
Weifeng Ge
Department of Computer Science, The University of Hong Kong
Verified email at connect.hku.hk - Homepage
Title
Cited by
Cited by
Year
Borrowing treasures from the wealthy: Deep transfer learning through selective joint fine-tuning
W Ge
arXiv preprint arXiv:1702.08690, 2017
1502017
Deep metric learning with hierarchical triplet loss
W Ge
Proceedings of the European Conference on Computer Vision (ECCV), 269-285, 2018
1472018
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
W GE, Y YU
arXivpreprintarXiv 1702, 08690, 2017
1202017
Borrowing treasures from the wealthy: Deep transfer learning through selective joint finetuning
W Ge, Y Yu
Proceedings of the IEEE conference on computer …, 2017, 2017
1202017
Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning
W Ge, S Yang, Y Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1162018
Multi-evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
W Ge, S Yang, Y Yu
CVPR, 2018
992018
Weakly supervised complementary parts models for fine-grained image classification from the bottom up
W Ge, X Lin, Y Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
662019
Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation
W Ge, Z Guo, Y Dong, Y Chen
Pattern Recognition 59, 112-125, 2016
282016
Label-PEnet: Sequential label propagation and enhancement networks for weakly supervised instance segmentation
W Ge, S Guo, W Huang, MR Scott
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
132019
Background subtraction with dynamic noise sampling and complementary learning
W Ge, Y Dong, Z Guo, Y Chen
2014 22nd International Conference on Pattern Recognition, 2341-2346, 2014
82014
Image super-resolution via deterministic-stochastic synthesis and local statistical rectification
W Ge, B Gong, Y Yu
ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018
42018
Weakly Supervised Image Segmentation Via Curriculum Learning
W Ge, S Guo, W Huang, MR Scott
US Patent App. 16/525,309, 2021
2021
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation
W Ge, S Guo, W Huang, MR Scott
arXiv preprint arXiv:1910.02624, 2019
2019
Borrowing Treasures from the Wealthy: Deep Transfer Learning
W Ge, Y Yu
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up (Supplementary Material)
W Ge, X Lin, Y Yu
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