Embedded Vision
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2017_CVPR_Workshops,
author = {Zhou, Chen and Yang, Jiaolong and Zhao, Chunshui and Hua, Gang},
title = {Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Sparse, Quantized, Full Frame CNN for Low Power Embedded Devices-
[pdf]
[bibtex]@InProceedings{Mathew_2017_CVPR_Workshops,
author = {Mathew, Manu and Desappan, Kumar and Kumar Swami, Pramod and Nagori, Soyeb},
title = {Sparse, Quantized, Full Frame CNN for Low Power Embedded Devices},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Reconstructing Intensity Images From Binary Spatial Gradient Cameras-
[pdf]
[bibtex]@InProceedings{Jayasuriya_2017_CVPR_Workshops,
author = {Jayasuriya, Suren and Gallo, Orazio and Gu, Jinwei and Aila, Timo and Kautz, Jan},
title = {Reconstructing Intensity Images From Binary Spatial Gradient Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Binarized Convolutional Neural Networks With Separable Filters for Efficient Hardware Acceleration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2017_CVPR_Workshops,
author = {Lin, Jeng-Hau and Xing, Tianwei and Zhao, Ritchie and Zhang, Zhiru and Srivastava, Mani and Tu, Zhuowen and Gupta, Rajesh K.},
title = {Binarized Convolutional Neural Networks With Separable Filters for Efficient Hardware Acceleration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Joint Mobile-Cloud Video Stabilization-
[pdf]
[bibtex]@InProceedings{Adesoye_2017_CVPR_Workshops,
author = {Adesoye, Gbolahan S. and Wang, Oliver},
title = {Joint Mobile-Cloud Video Stabilization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Embedded Robust Visual Obstacle Detection on Autonomous Lawn Mowers-
[pdf]
[bibtex]@InProceedings{Franzius_2017_CVPR_Workshops,
author = {Franzius, Mathias and Dunn, Mark and Einecke, Nils and Dirnberger, Roman},
title = {Embedded Robust Visual Obstacle Detection on Autonomous Lawn Mowers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Improved Cooperative Stereo Matching for Dynamic Vision Sensors With Ground Truth Evaluation-
[pdf]
[bibtex]@InProceedings{Piatkowska_2017_CVPR_Workshops,
author = {Piatkowska, Ewa and Kogler, Jurgen and Belbachir, Nabil and Gelautz, Margrit},
title = {Improved Cooperative Stereo Matching for Dynamic Vision Sensors With Ground Truth Evaluation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Diagnostic Mechanism and Robustness of Safety Relevant Automotive Deep Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Krutsch_2017_CVPR_Workshops,
author = {Krutsch, Robert and Schlagenhaft, Rolf},
title = {Diagnostic Mechanism and Robustness of Safety Relevant Automotive Deep Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Hand Gesture Based Region Marking for Tele-Support Using Wearables-
[pdf]
[bibtex]@InProceedings{Gupta_2017_CVPR_Workshops,
author = {Gupta, Archie and Mohatta, Shreyash and Maurya, Jitender and Perla, Ramakrishna and Hebbalaguppe, Ramya and Hassan, Ehtesham},
title = {Hand Gesture Based Region Marking for Tele-Support Using Wearables},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Even More Confident Predictions With Deep Machine-Learning-
[pdf]
[bibtex]@InProceedings{Poggi_2017_CVPR_Workshops,
author = {Poggi, Matteo and Tosi, Fabio and Mattoccia, Stefano},
title = {Even More Confident Predictions With Deep Machine-Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Low-Complexity Global Motion Estimation for Aerial Vehicles-
[pdf]
[bibtex]@InProceedings{Ramakrishnan_2017_CVPR_Workshops,
author = {Ramakrishnan, Nirmala and Prakash, Alok and Srikanthan, Thambipillai},
title = {Low-Complexity Global Motion Estimation for Aerial Vehicles },
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tripathi_2017_CVPR_Workshops,
author = {Tripathi, Subarna and Dane, Gokce and Kang, Byeongkeun and Bhaskaran, Vasudev and Nguyen, Truong},
title = {LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Image-Based Visual Perception and Representation for Collision Avoidance-
[pdf]
[bibtex]@InProceedings{Cigla_2017_CVPR_Workshops,
author = {Cigla, Cevahir and Brockers, Roland and Matthies, Larry},
title = {Image-Based Visual Perception and Representation for Collision Avoidance},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Pruning ConvNets Online for Efficient Specialist Models-
[pdf]
[bibtex]@InProceedings{Guo_2017_CVPR_Workshops,
author = {Guo, Jia and Potkonjak, Miodrag},
title = {Pruning ConvNets Online for Efficient Specialist Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Reddy_2017_CVPR_Workshops,
author = {Reddy, Bhargava and Kim, Ye-Hoon and Yun, Sojung and Seo, Chanwon and Jang, Junik},
title = {Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2017_CVPR_Workshops,
author = {Wu, Bichen and Iandola, Forrest and Jin, Peter H. and Keutzer, Kurt},
title = {SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Training Sparse Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Srinivas_2017_CVPR_Workshops,
author = {Srinivas, Suraj and Subramanya, Akshayvarun and Venkatesh Babu, R.},
title = {Training Sparse Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Verbickas_2017_CVPR_Workshops,
author = {Verbickas, Rytis and Laganiere, Robert and Laroche, Daniel and Zhu, Changyun and Xu, Xiaoyin and Ors, Ali},
title = {SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}