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Weifeng Ge
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2020 – today
- 2024
- [c23]Yixuan Sun, Zhangyue Yin, Haibo Wang, Yan Wang, Xipeng Qiu, Weifeng Ge, Wenqiang Zhang:
Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration. CVPR 2024: 17047-17056 - [c22]Haibo Wang, Weifeng Ge:
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge. ECCV (42) 2024: 274-292 - [i19]Haibo Wang, Chenghang Lai, Yixuan Sun, Weifeng Ge:
Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering. CoRR abs/2401.10711 (2024) - [i18]Haibi Wang, Weifeng Ge:
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge. CoRR abs/2401.10712 (2024) - [i17]Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang:
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking. CoRR abs/2402.14392 (2024) - [i16]Jinglun Li, Xinyu Zhou, Kaixun Jiang, Lingyi Hong, Pinxue Guo, Zhaoyu Chen, Weifeng Ge, Wenqiang Zhang:
TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning. CoRR abs/2408.15566 (2024) - [i15]Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang:
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection. CoRR abs/2408.15580 (2024) - 2023
- [j8]Weifeng Ge, Rui He, Qibing Wu, Baoping Cai, Chao Yang, Fei Zhang:
Digital Twin Driven Fault Diagnosis Method for Subsea Control System. IEEE Access 11: 116269-116276 (2023) - [j7]Chao Yang, Baoping Cai, Qibing Wu, Chenyushu Wang, Weifeng Ge, Zhiming Hu, Wei Zhu, Lei Zhang, Longting Wang:
Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data. J. Ind. Inf. Integr. 33: 100469 (2023) - [c21]Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge:
RankDNN: Learning to Rank for Few-Shot Learning. AAAI 2023: 728-736 - [c20]Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge:
Characterizing the Impacts of Instances on Robustness. ACL (Findings) 2023: 2314-2332 - [c19]Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue:
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. ACL (Findings) 2023: 7858-7873 - [c18]Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang:
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. CVPR 2023: 7121-7130 - [c17]Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge:
Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. CVPR 2023: 17787-17796 - [c16]Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge:
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement. ICCV 2023: 16208-16217 - [c15]Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang:
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection. ICCV 2023: 23368-23378 - [c14]Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang:
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking. NeurIPS 2023 - [c13]Ruize Xu, Xiaowen Qiu, Boan He, Weifeng Ge, Wenqiang Zhang:
Multi-domain Information Fusion for Key-Points Guided GAN Inversion. PRCV (11) 2023: 146-157 - [i14]Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue:
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. CoRR abs/2306.04657 (2023) - 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 2024-10-11 17:28 CEST by the dblp team
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