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Weifeng Ge
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2020 – today
- 2022
- [j6]Baoping Cai, Yuandong Wang, Yanping Zhang, Yiliu Liu, Weifeng Ge, Rongkang Li, Yonghong Liu, Guijie Liu:
Condition-based maintenance method for multi-component system based on RUL prediction: Subsea tree system as a case study. Comput. Ind. Eng. 173: 108650 (2022) - [j5]Yan Wang
, Wei Song
, Wei Tao
, Antonio Liotta
, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge
, Wei Zhang, Wenqiang Zhang:
A systematic review on affective computing: emotion models, databases, and recent advances. Inf. Fusion 83-84: 19-52 (2022) - [j4]Jinjiang Wang
, Jiazheng Sun
, Weifeng Ge
, Fengli Zhang
, Robert X. Gao
:
Virtual Sensing for Online Fault Diagnosis of Heat Exchangers. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [c12]Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou
, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CVPR 2022: 9109-9119 - [c11]Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang:
FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos. CVPR 2022: 20890-20899 - [c10]Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue:
Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning. ICDM 2022: 448-457 - [c9]Yan Wang, Yixuan Sun, Wei Song, Shuyong Gao, Yiwen Huang, Zhaoyu Chen, Weifeng Ge, Wenqiang Zhang:
DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos. ACM Multimedia 2022: 101-110 - [i13]Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang:
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances. CoRR abs/2203.06935 (2022) - [i12]Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CoRR abs/2203.09064 (2022) - [i11]Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang:
FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos. CoRR abs/2203.09463 (2022) - [i10]Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
RankDNN: Learning to Rank for Few-shot Learning. CoRR abs/2211.15320 (2022) - [i9]Xiaowen Qiu, Ruize Xu, Boan He, Yingtao Zhang, Wenqiang Zhang, Weifeng Ge:
ColoristaNet for Photorealistic Video Style Transfer. CoRR abs/2212.09247 (2022) - 2021
- [c8]Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. ICCV 2021: 2743-2752 - [c7]Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. ICCV 2021: 3334-3344 - [i8]Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. CoRR abs/2108.00211 (2021) - [i7]Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. CoRR abs/2108.00580 (2021) - 2020
- [j3]Baoping Cai
, Xiaoyan Shao, Yonghong Liu
, Xiangdi Kong, Haifeng Wang, Hongqi Xu, Weifeng Ge:
Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study. IEEE Trans. Ind. Electron. 67(7): 5737-5747 (2020)
2010 – 2019
- 2019
- [c6]Weifeng Ge, Xiangru Lin, Yizhou Yu:
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. CVPR 2019: 3034-3043 - [c5]Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott:
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. ICCV 2019: 3344-3353 - [i6]Weifeng Ge, Xiangru Lin, Yizhou Yu:
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up. CoRR abs/1903.02827 (2019) - [i5]Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott:
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation. CoRR abs/1910.02624 (2019) - 2018
- [j2]Weifeng Ge, Bingchen Gong, Yizhou Yu:
Image super-resolution via deterministic-stochastic synthesis and local statistical rectification. ACM Trans. Graph. 37(6): 260 (2018) - [c4]Weifeng Ge, Sibei Yang
, Yizhou Yu:
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. CVPR 2018: 1277-1286 - [c3]Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott:
Deep Metric Learning with Hierarchical Triplet Loss. ECCV (6) 2018: 272-288 - [i4]Weifeng Ge, Sibei Yang, Yizhou Yu:
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. CoRR abs/1802.09129 (2018) - [i3]Weifeng Ge, Bingchen Gong, Yizhou Yu:
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification. CoRR abs/1809.06557 (2018) - [i2]Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott:
Deep Metric Learning with Hierarchical Triplet Loss. CoRR abs/1810.06951 (2018) - 2017
- [c2]Weifeng Ge, Yizhou Yu:
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. CVPR 2017: 10-19 - [i1]Weifeng Ge, Yizhou Yu:
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. CoRR abs/1702.08690 (2017) - 2016
- [j1]Weifeng Ge, Zhenhua Guo
, Yuhan Dong
, Youbin Chen:
Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation. Pattern Recognit. 59: 112-125 (2016) - 2014
- [c1]Weifeng Ge, Yuhan Dong
, Zhenhua Guo, Youbin Chen:
Background Subtraction with Dynamic Noise Sampling and Complementary Learning. ICPR 2014: 2341-2346
Coauthor Index

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last updated on 2023-03-22 22:14 CET by the dblp team
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