Weakly Supervised Learning for Real-World Computer Vision Applications
Missing Labels in Object Detection-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR_Workshops,
author = {Xu, Mengmeng and Bai, Yancheng and Ghanem, Bernard},
title = {Missing Labels in Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Utilizing the Instability in Weakly Supervised Object Detection-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR_Workshops,
author = {Liu, Boxiao and Gao, Yan and Guo, Nan and Ye, Xiaochun and Wan, Fang and You, Haihang and Fan, Dongrui},
title = {Utilizing the Instability in Weakly Supervised Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Olmschenk_2019_CVPR_Workshops,
author = {Olmschenk, Greg and Chen, Jin and Tang, Hao and Zhu, Zhigang},
title = {Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
A Dual Attention Network with Semantic Embedding for Few-shot Learning-
[pdf]
[bibtex]@InProceedings{Yan_2019_CVPR_Workshops,
author = {Yan, Shipeng and Zhang, Songyang and He, Xuming},
title = {A Dual Attention Network with Semantic Embedding for Few-shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
A pairwise learning strategy for video-based face recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR_Workshops,
author = {Zhang, Meng and Liu, Rujie and Nada, Hajime and Uchida, Hidetsugu and Matsunami, Tomoaki and Abe, Narishige},
title = {A pairwise learning strategy for video-based face recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Semantic Part RCNN for Real-World Pedestrian Detection-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR_Workshops,
author = {Xu, Mengmeng and Bai, Yancheng and Sisi Qu, Sally and Ghanem, Bernard},
title = {Semantic Part RCNN for Real-World Pedestrian Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR_Workshops,
author = {Li, Wenyuan and Wang, Zichen and Li, Jiayun and Polson, Jennifer and Speier, William and Arnold, Corey},
title = {Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Class Subset Selection for Partial Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Zohrizadeh_2019_CVPR_Workshops,
author = {Zohrizadeh, Fariba and Kheirandishfard, Mohsen and Kamangar, Farhad},
title = {Class Subset Selection for Partial Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Self-supervised Difference Detection for Refinement CRF and Seed Interpolation-
[pdf]
[bibtex]@InProceedings{Shimoda_2019_CVPR_Workshops,
author = {Shimoda, Wataru and Yanai, Keiji},
title = {Self-supervised Difference Detection for Refinement CRF and Seed Interpolation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}