Yuxiang ZHOU

@article{lee2022spend,
    title={How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation},
    author={Lee, Alex X and Devin, Coline and Springenberg, Jost Tobias and Zhou, Yuxiang and Lampe, Thomas and Abdolmaleki, Abbas and Bousmalis, Konstantinos},
    journal={arXiv preprint arXiv:2205.03353},
    year={2022}
}
                        

@inproceedings{lee2021beyond,
    title={Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes},
    author={Lee, Alex X and Devin, Coline Manon and Zhou, Yuxiang and Lampe, Thomas and Bousmalis, Konstantinos and Springenberg, Jost Tobias and Byravan, Arunkumar and Abdolmaleki, Abbas and Gileadi, Nimrod and Khosid, David and others},
    booktitle={5th Annual Conference on Robot Learning},
    year={2021}
}
                        

@article{zhou2021manipulator,
  title={Manipulator-Independent Representations for Visual Imitation},
  author={Zhou, Yuxiang and Aytar, Yusuf and Bousmalis, Konstantinos},
  journal={arXiv preprint arXiv:2103.09016},
  year={2021}
}
                        

@article{zambelli2021learning,
  title={Learning rich touch representations through cross-modal self-supervision},
  author={Zambelli, Martina and Aytar, Yusuf and Visin, Francesco and Zhou, Yuxiang and Hadsell, Raia},
  journal={arXiv preprint arXiv:2101.08616},
  year={2021}
}
                        

@article{jeong2020learning,
  title={Learning Dexterous Manipulation from Suboptimal Experts},
  author={Jeong, Rae and Springenberg, Jost Tobias and Kay, Jackie and Zheng, Daniel and Zhou, Yuxiang and Galashov, Alexandre and Heess, Nicolas and Nori, Francesco},
  journal={arXiv preprint arXiv:2010.08587},
  year={2020}
}
                        

@inproceedings{jeong2020self,
  title={Self-supervised sim-to-real adaptation for visual robotic manipulation},
  author={Jeong, Rae and Aytar, Yusuf and Khosid, David and Zhou, Yuxiang and Kay, Jackie and Lampe, Thomas and Bousmalis, Konstantinos and Nori, Francesco},
  booktitle={2020 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={2718--2724},
  year={2020},
  organization={IEEE}
}
                        

@article{deng2019retinaface,
  title={Retinaface: Single-stage dense face localisation in the wild},
  author={Deng, Jiankang and Guo, Jia and Zhou, Yuxiang and Yu, Jinke and Kotsia, Irene and Zafeiriou, Stefanos},
  journal={arXiv preprint arXiv:1905.00641},
  year={2019}
}
                        

@article{cheng2019meshgan,
  title={Meshgan: Non-linear 3d morphable models of faces},
  author={Cheng, Shiyang and Bronstein, Michael and Zhou, Yuxiang and Kotsia, Irene and Pantic, Maja and Zafeiriou, Stefanos},
  journal={arXiv preprint arXiv:1903.10384},
  year={2019}
}
                        

@inproceedings{zhou2019dense,
  title={Dense 3d face decoding over 2500fps: Joint texture \& shape convolutional mesh decoders},
  author={Zhou, Yuxiang and Deng, Jiankang and Kotsia, Irene and Zafeiriou, Stefanos},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1097--1106},
  year={2019}
}
                        

@inproceedings{deng2018uv,
  title={Uv-gan: Adversarial facial uv map completion for pose-invariant face recognition},
  author={Deng, Jiankang and Cheng, Shiyang and Xue, Niannan and Zhou, Yuxiang and Zafeiriou, Stefanos},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={7093--7102},
  year={2018}
}
                        

@inproceedings{zhou2018improve,
  title={Improve accurate pose alignment and action localization by dense pose estimation},
  author={Zhou, Yuxiang and Deng, Jiankang and Zafeiriou, Stefanos},
  booktitle={2018 13th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2018)},
  pages={480--484},
  year={2018},
  organization={IEEE}
}
                        

@inproceedings{deng2018cascade,
  title={Cascade multi-view hourglass model for robust 3d face alignment},
  author={Deng, Jiankang and Zhou, Yuxiang and Cheng, Shiyang and Zaferiou, Stefanos},
  booktitle={2018 13th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2018)},
  pages={399--403},
  year={2018},
  organization={IEEE}
}
                        

@article{deng2019joint,
  title={Joint multi-view face alignment in the wild},
  author={Deng, Jiankang and Trigeorgis, George and Zhou, Yuxiang and Zafeiriou, Stefanos},
  journal={IEEE Transactions on Image Processing},
  volume={28},
  number={7},
  pages={3636--3648},
  year={2019},
  publisher={IEEE}
}
                        

@inproceedings{deng2017marginal,
  title={Marginal loss for deep face recognition},
  author={Deng, Jiankang and Zhou, Yuxiang and Zafeiriou, Stefanos},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={60--68},
  year={2017}
}
                        

@inproceedings{zhou2016estimating,
  title={Estimating correspondences of deformable objects" in-the-wild"},
  author={Zhou, Yuxiang and Antonakos, Epameinondas and Alabort-i-Medina, Joan and Roussos, Anastasios and Zafeiriou, Stefanos},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={5791--5801},
  year={2016}
}
                        

@inproceedings{zhang2016semi,
  title={Semi-autonomous data enrichment based on cross-task labelling of missing targets for holistic speech analysis},
  author={Zhang, Yue and Zhou, Yuxiang and Shen, Jie and Schuller, Bj{\"o}rn},
  booktitle={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={6090--6094},
  year={2016},
  organization={IEEE}
}
                        

@inproceedings{liao2012fingertips,
  title={Fingertips detection algorithm based on skin colour filtering and distance transformation},
  author={Liao, Yun and Zhou, Yuxiang and Zhou, Hua and Liang, Zhihong},
  booktitle={2012 12th International Conference on Quality Software},
  pages={276--281},
  year={2012},
  organization={IEEE}
}