publications

@inproceedings{lei2024fewshot,
  title = {Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI},
  author = {Lei, Qinqian and Wang, Bo and Tan, Robby T},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year = {2024},
}

@inproceedings{li2023dsfnet,
  title = {DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment},
  author = {Li, Heyuan and Wang, Bo and Cheng, Yu and Kankanhalli, Mohan and Tan, Robby T},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {4531--4540},
  year = {2023},
}

@article{cheng2023bottom,
  title = {Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons},
  author = {Cheng*, Yu and Ai*, Yihao and Wang, Bo and Wang, Xinchao and Tan, Robby T},
  journal = {Pattern Recognition},
  volume = {139},
  pages = {109403},
  year = {2023},
  publisher = {Elsevier},
}

@article{cheng2022dual,
  title = {Dual networks based 3d multi-person pose estimation from monocular video},
  author = {Cheng, Yu and Wang, Bo and Tan, Robby T},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = {45},
  number = {2},
  pages = {1636--1651},
  year = {2022},
  publisher = {IEEE},
}

@inproceedings{cheng2021monocular,
  title = {Monocular 3D multi-person pose estimation by integrating top-down and bottom-up networks},
  author = {Cheng, Yu and Wang, Bo and Yang, Bo and Tan, Robby T},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {7649--7659},
  year = {2021},
}

@inproceedings{cheng2021graph,
  title = {Graph and temporal convolutional networks for 3d multi-person pose estimation in monocular videos},
  author = {Cheng, Yu and Wang, Bo and Yang, Bo and Tan, Robby T},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {35},
  number = {2},
  pages = {1157--1165},
  year = {2021},
}

@inproceedings{cheng20203d,
  title = {3d human pose estimation using spatio-temporal networks with explicit occlusion training},
  author = {Cheng*, Yu and Yang*, Bo and Wang*, Bo and Tan, Robby T},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {34},
  number = {07},
  pages = {10631--10638},
  year = {2020},
}

@inproceedings{cheng2019occlusion,
  title = {Occlusion-aware networks for 3d human pose estimation in video},
  author = {Cheng*, Yu and Yang*, Bo and Wang, Bo and Yan, Wending and Tan, Robby T},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages = {723--732},
  year = {2019},
}