Sen He (何森)
Have Fun with Computer Vision and Machine Learning.
I'm a Research Scientist at
Meta AI, London.
Email
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Google Scholar
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GitHub
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LinkedIn
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Research Interests
I'm broadly interested in the field of Computer Vision and Deep Learning. My current research focus on Generative Models.
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Style-Based Global Appearance Flow for Virtual Try-On
Sen He
,
Yi-Zhe Song,
Tao Xiang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
New Orleans, Louisiana, USA
Code
/
Video /
BibTex
@inproceedings{he2022cvprfsvton,
title={Style-Based Global Appearance Flow for Virtual Try-On},
author={He, Sen and Yi-Zhe, Song and Tao, Xiang},
booktitle={CVPR},
year={2022}
}
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Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu,
Sen He
,
Yi-Zhe Song,
Tao Xiang
AAAI Conference on Artificial Intelligence (AAAI), 2022
Vancouver, Canada
BibTex
@inproceedings{yu2022aaaihgnn,
title={Hybrid Graph Neural Networks for Few-Shot Learning},
author={Yu, Tianyuan, He, Sen and Yi-Zhe, Song and Tao, Xiang},
booktitle={AAAI},
year={2022}
}
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Text-Based Person Search with Limited Data
Xiao Han,
Sen He
,
Li Zhang,
Tao Xiang
British Machine Vision Conference (BMVC), 2021
Virtual
Code
/
BibTex
@inproceedings{xiao2021tbps,
title={Text-Based Person Search with Limited Data},
author={Han, Xiao and He, Sen and Zhang, Li and Tao, Xiang},
booktitle={BMVC},
year={2021}
}
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Disentangled Lifespan Face Synthesis
Sen He
,
Wentong Liao,
Michael Yang,
Yi-Zhe Song,
Bodo Rosenhahn,
Tao Xiang
International Conference on Computer Vision (ICCV), 2021
Virtual
Code
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Project Page /
BibTex
@inproceedings{he2021iccvlfs,
title={Disentangled Lifespan Face Synthesis},
author={He, Sen and Liao, Wentong and Yang, Michael and Yi-Zhe, Song and Rosenhahn, Bodo and Tao, Xiang},
booktitle={ICCV},
year={2021}
}
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Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu,
Sen He
,
Xiatian Zhu,
Li Zhang,
Yi-Zhe Song,
Tao Xiang
International Conference on Computer Vision (ICCV), 2021
Virtual
Code
/
BibTex
@inproceedings{Luiccv2021fss,
title={Simpler is Better: Few-shot Semantic Segmentation with Classifier WeightTransformer},
author={Zhihe Lu and Sen He and Xiatian Zhu and Li Zhang and Yi-Zhe, Song and Tao, Xiang},
booktitle={ICCV},
year={2021}
}
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Context-Aware Layout to Image Generation with Enhanced Object Appearance
Sen He
,
Wentong Liao,
Michael Yang,
Yongxin Yang,
Yi-Zhe Song,
Bodo Rosenhahn,
Tao Xiang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Nashville, USA (virtual)
Code
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Project Page /
BibTex
@inproceedings{he2021l2m,
title={Context-Aware Layout to Image Generation with Enhanced Object Appearance},
author={He, Sen and Liao, Wentong and Yang, Michael and Yongxin, Yang and Yi-Zhe, Song and Rosenhahn, Bodo and Tao, Xiang},
booktitle={CVPR},
year={2021}
}
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Image Captioning through Image Transformer
Sen He
,
Wentong Liao,
Hamed R. Tavakoli,
Michael Yang,
Bodo Rosenhahn,
Nicolas Pugeault
Asian Conference on Computer Vision (ACCV), 2020
Kyoto, Japan
Code
/
BibTex
@inproceedings{he2020image,
title={Image Captioning through Image Transformer},
author={He, Sen and Liao, Wentong and Tavakoli, Hamed R and Yang, Michael and Rosenhahn, Bodo and Pugeault, Nicolas},
booktitle={ACCV},
year={2020}
}
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A Spherical Approach to Planar Semantic Segmentation
Chao Zhang
,
Sen He,
Stephan Liwicki
British Machine Vision Conference (BMVC), 2020
UK
BibTex
@inproceedings{chao2020spherical,
title={A Spherical Approach to Planar Semantic Segmentation},
author={Chao Zhang and Sen, He and Stephan Liwichi},
booktitle={BMVC},
year={2020}
}
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Human Attention in Image Captioning: Dataset and Analysis
Sen He
,
Hamed R. Tavakoli,
Ali Borji,
Nicolas Pugeault
International Conference on Computer Vision (ICCV), 2019
Seoul, Korea
Code and Data
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BibTex
@inproceedings{he2019human,
title={Human Attention in Image Captioning: Dataset and Analysis},
author={He, Sen and Tavakoli, Hamed R and Ali Borji and Pugeault, Nicolas},
booktitle={ICCV},
year={2019}
}
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Understanding and Visualizing Deep Visual Saliency Models
Sen He
,
Hamed R. Tavakoli,
Ali Borji,
Yang Mi,
Nicolas Pugeault
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Long Beach, California, USA
Code and Data
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BibTex
@inproceedings{he2019understanding,
title={Understanding and Visualizing Deep Visual Saliency Models},
author={He, Sen and Hamed R. Tavakoli and Ali Borji and Yang Mi and Pugeault, Nicolas},
booktitle={CVPR},
year={2019}
}
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Copyright © Sen He. Last updated Nov 2020 | Template provided by Sauradip Nag
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