Deep Learning for Robotic Vision

Learning Robot Activities From First-Person Human Videos Using Convolutional Future Regression

Jangwon Lee,

Michael S. Ryoo

[pdf] [arXiv]

[bibtex]

@InProceedings{Lee_2017_CVPR_Workshops,
author = {Lee, Jangwon and Ryoo, Michael S.},
title = {Learning Robot Activities From First-Person Human Videos Using Convolutional Future Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

End-To-End Driving in a Realistic Racing Game With Deep Reinforcement Learning

Etienne Perot,

Maximilian Jaritz,

Marin Toromanoff,

Raoul de Charette

[pdf]

[bibtex]

@InProceedings{Perot_2017_CVPR_Workshops,
author = {Perot, Etienne and Jaritz, Maximilian and Toromanoff, Marin and de Charette, Raoul},
title = {End-To-End Driving in a Realistic Racing Game With Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Automated Risk Assessment for Scene Understanding and Domestic Robots Using RGB-D Data and 2.5D CNNs at a Patch Level

Rob Dupre,

Georgios Tzimiropoulos,

Vasileios Argyriou

[pdf]

[bibtex]

@InProceedings{Dupre_2017_CVPR_Workshops,
author = {Dupre, Rob and Tzimiropoulos, Georgios and Argyriou, Vasileios},
title = {Automated Risk Assessment for Scene Understanding and Domestic Robots Using RGB-D Data and 2.5D CNNs at a Patch Level},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Semantic Instance Segmentation for Autonomous Driving

Bert De Brabandere,

Davy Neven,

Luc Van Gool

[pdf]

[bibtex]

@InProceedings{Brabandere_2017_CVPR_Workshops,
author = {De Brabandere, Bert and Neven, Davy and Van Gool, Luc},
title = {Semantic Instance Segmentation for Autonomous Driving},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation Actions

Ji Woong Kim,

Sujeong You,

Sang Hoon Ji,

Hong Seok Kim

[pdf]

[bibtex]

@InProceedings{Kim_2017_CVPR_Workshops,
author = {Woong Kim, Ji and You, Sujeong and Hoon Ji, Sang and Seok Kim, Hong},
title = {Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation Actions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Finding Anomalies With Generative Adversarial Networks for a Patrolbot

Wallace Lawson,

Esube Bekele,

Keith Sullivan

[pdf]

[bibtex]

@InProceedings{Lawson_2017_CVPR_Workshops,
author = {Lawson, Wallace and Bekele, Esube and Sullivan, Keith},
title = {Finding Anomalies With Generative Adversarial Networks for a Patrolbot},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Time-Contrastive Networks: Self-Supervised Learning From Multi-View Observation

Pierre Sermanet,

Corey Lynch,

Jasmine Hsu,

Sergey Levine

[pdf] [arXiv]

[bibtex]

@InProceedings{Sermanet_2017_CVPR_Workshops,
author = {Sermanet, Pierre and Lynch, Corey and Hsu, Jasmine and Levine, Sergey},
title = {Time-Contrastive Networks: Self-Supervised Learning From Multi-View Observation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Curiosity-Driven Exploration by Self-Supervised Prediction

Deepak Pathak,

Pulkit Agrawal,

Alexei A. Efros,

Trevor Darrell

[pdf] [arXiv]

[bibtex]

@InProceedings{Pathak_2017_CVPR_Workshops,
author = {Pathak, Deepak and Agrawal, Pulkit and Efros, Alexei A. and Darrell, Trevor},
title = {Curiosity-Driven Exploration by Self-Supervised Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks

Kapil Katyal,

I-Jeng Wang,

Philippe Burlina

[pdf]

[bibtex]

@InProceedings{Katyal_2017_CVPR_Workshops,
author = {Katyal, Kapil and Wang, I-Jeng and Burlina, Philippe},
title = {Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Hand Movement Prediction Based Collision-Free Human-Robot Interaction

Yiwei Wang,

Xin Ye,

Yezhou Yang,

Wenlong Zhang

[pdf]

[bibtex]

@InProceedings{Wang_2017_CVPR_Workshops,
author = {Wang, Yiwei and Ye, Xin and Yang, Yezhou and Zhang, Wenlong},
title = {Hand Movement Prediction Based Collision-Free Human-Robot Interaction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

3D Pose Regression Using Convolutional Neural Networks

Siddharth Mahendran,

Haider Ali,

Rene Vidal

[pdf] [arXiv]

[bibtex]

@InProceedings{Mahendran_2017_CVPR_Workshops,
author = {Mahendran, Siddharth and Ali, Haider and Vidal, Rene},
title = {3D Pose Regression Using Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Tuning Modular Networks With Weighted Losses for Hand-Eye Coordination

Fangyi Zhang,

Jurgen Leitner,

Michael Milford,

Peter I. Corke

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2017_CVPR_Workshops,
author = {Zhang, Fangyi and Leitner, Jurgen and Milford, Michael and Corke, Peter I.},
title = {Tuning Modular Networks With Weighted Losses for Hand-Eye Coordination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Episode-Based Active Learning With Bayesian Neural Networks

Feras Dayoub,

Niko Sunderhauf,

Peter I. Corke

[pdf] [arXiv]

[bibtex]

@InProceedings{Dayoub_2017_CVPR_Workshops,
author = {Dayoub, Feras and Sunderhauf, Niko and Corke, Peter I.},
title = {Episode-Based Active Learning With Bayesian Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Detecting and Grouping Identical Objects for Region Proposal and Classification

Wim Abbeloos,

Sergio Caccamo,

Esra Ataer-Cansizoglu,

Yuichi Taguchi,

Chen Feng,

Teng-Yok Lee

[pdf] [arXiv]

[bibtex]

@InProceedings{Abbeloos_2017_CVPR_Workshops,
author = {Abbeloos, Wim and Caccamo, Sergio and Ataer-Cansizoglu, Esra and Taguchi, Yuichi and Feng, Chen and Lee, Teng-Yok},
title = {Detecting and Grouping Identical Objects for Region Proposal and Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}