Weifeng Ge

According to our database, Weifeng Ge authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking.

Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang

CoRR, 2024

Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge.

Haibi Wang, Weifeng Ge

CoRR, 2024

Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering.

Haibo Wang, Chenghang Lai, Yixuan Sun, Weifeng Ge

CoRR, 2024

2023

Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data.

Chao Yang, Baoping Cai, Qibing Wu, Chenyushu Wang, Weifeng Ge, Zhiming Hu, Wei Zhu, Lei Zhang, Longting Wang

J. Ind. Inf. Integr., 2023

Digital Twin Driven Fault Diagnosis Method for Subsea Control System.

Weifeng Ge, Rui He, Qibing Wu, Baoping Cai, Chao Yang, Fei Zhang

IEEE Access, 2023

Multi-domain Information Fusion for Key-Points Guided GAN Inversion.

Ruize Xu, Xiaowen Qiu, Boan He, Weifeng Ge, Wenqiang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking.

Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection.

Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement.

Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution.

Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence.

Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Characterizing the Impacts of Instances on Robustness.

Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge.

Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RankDNN: Learning to Rank for Few-Shot Learning.

Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Virtual Sensing for Online Fault Diagnosis of Heat Exchangers.

Jinjiang Wang, Jiazheng Sun, Weifeng Ge, Fengli Zhang, Robert X. Gao

IEEE Trans. Instrum. Meas., 2022

A systematic review on affective computing: emotion models, databases, and recent advances.

Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang

Inf. Fusion, 2022

ColoristaNet for Photorealistic Video Style Transfer.

Xiaowen Qiu, Ruize Xu, Boan He, Yingtao Zhang, Wenqiang Zhang, Weifeng Ge

CoRR, 2022

RankDNN: Learning to Rank for Few-shot Learning.

Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang

CoRR, 2022

Condition-based maintenance method for multi-component system based on RUL prediction: Subsea tree system as a case study.

Baoping Cai, Yuandong Wang, Yanping Zhang, Yiliu Liu, Weifeng Ge, Rongkang Li, Yonghong Liu, Guijie Liu

Comput. Ind. Eng., 2022

DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos.

Yan Wang, Yixuan Sun, Wei Song, Shuyong Gao, Yiwen Huang, Zhaoyu Chen, Weifeng Ge, Wenqiang Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning.

Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue

Proceedings of the IEEE International Conference on Data Mining, 2022

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos.

Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.

Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multi-scale Matching Networks for Semantic Correspondence.

Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GraphFPN: Graph Feature Pyramid Network for Object Detection.

Gangming Zhao, Weifeng Ge, Yizhou Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study.

Baoping Cai, Xiaoyan Shao, Yonghong Liu, Xiangdi Kong, Haifeng Wang, Hongqi Xu, Weifeng Ge

IEEE Trans. Ind. Electron., 2020

2019

Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation.

Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott

CoRR, 2019

Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation.

Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up.

Weifeng Ge, Xiangru Lin, Yizhou Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Image super-resolution via deterministic-stochastic synthesis and local statistical rectification.

Weifeng Ge, Bingchen Gong, Yizhou Yu

ACM Trans. Graph., 2018

Deep Metric Learning with Hierarchical Triplet Loss.

Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott

Proceedings of the Computer Vision - ECCV 2018, 2018

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning.

Weifeng Ge, Sibei Yang, Yizhou Yu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning.

Weifeng Ge, Yizhou Yu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation.

Weifeng Ge, Zhenhua Guo, Yuhan Dong, Youbin Chen

Pattern Recognit., 2016

2014

Background Subtraction with Dynamic Noise Sampling and Complementary Learning.

Weifeng Ge, Yuhan Dong, Zhenhua Guo, Youbin Chen

Proceedings of the 22nd International Conference on Pattern Recognition, 2014