Low-Power Computer Vision Challenge
CSPNet: A New Backbone That Can Enhance Learning Capability of CNN-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR_Workshops,
author = {Wang, Chien-Yao and Liao, Hong-Yuan Mark and Wu, Yueh-Hua and Chen, Ping-Yang and Hsieh, Jun-Wei and Yeh, I-Hau},
title = {CSPNet: A New Backbone That Can Enhance Learning Capability of CNN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Enabling Monocular Depth Perception at the Very Edge-
[pdf]
[bibtex]@InProceedings{Peluso_2020_CVPR_Workshops,
author = {Peluso, Valentino and Cipolletta, Antonio and Calimera, Andrea and Poggi, Matteo and Tosi, Fabio and Aleotti, Filippo and Mattoccia, Stefano},
title = {Enabling Monocular Depth Perception at the Very Edge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care-
[pdf]
[bibtex]@InProceedings{Pramerdorfer_2020_CVPR_Workshops,
author = {Pramerdorfer, Christopher and Planinc, Rainer and Kampel, Martin},
title = {Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Enabling Incremental Knowledge Transfer for Object Detection at the Edge-
[pdf]
[bibtex]@InProceedings{Farhadi_2020_CVPR_Workshops,
author = {Farhadi, Mohammad and Ghasemi, Mehdi and Vrudhula, Sarma and Yang, Yezhou},
title = {Enabling Incremental Knowledge Transfer for Object Detection at the Edge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference-
[pdf]
[video]
[bibtex]@InProceedings{Farcas_2020_CVPR_Workshops,
author = {Farcas, Allen-Jasmin and Li, Guihong and Bhardwaj, Kartikeya and Marculescu, Radu},
title = {A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Challenges in Energy-Efficient Deep Neural Network Training With FPGA-
[pdf]
[bibtex]@InProceedings{Tao_2020_CVPR_Workshops,
author = {Tao, Yudong and Ma, Rui and Shyu, Mei-Ling and Chen, Shu-Ching},
title = {Challenges in Energy-Efficient Deep Neural Network Training With FPGA},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object Detection on Embedded Devices-
[pdf]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR_Workshops,
author = {Chen, Ping-Yang and Hsieh, Jun-Wei and Wang, Chien-Yao and Liao, Hong-Yuan Mark},
title = {Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object Detection on Embedded Devices},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}