Selected Publications

[3D Scene Understanding]-[Trajectory Prediction]-[Full Records]

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3D Scene Understanding:

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma*.
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022

BibTex-PDF -Github Code

@article{cong2022stcrowd,
  title={STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes},
  author={Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma},
  journal={CVPR},
  year={2022}
}

SIDE: Center-based Stereo 3D Detector with Structure-awareInstance Depth Estimation
Xidong Peng, Xinge Zhu, Tai Wang, Yuexin Ma.
Winter Conference on Applications of Computer Vision (WACV), 2022

BibTex-PDF -Github Code

@article{peng2021side,
  title={SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation},
  author={Peng, Xidong and Zhu, Xinge and Wang, Tai and Ma, Yuexin},
  journal={WACV},
  year={2022}
}

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma*, Hongsheng Li, Ruigang Yang, Dahua Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021​
(*Corresponding author)

BibTex-PDF -GitHub Code

@inproceedings{iccvleveraging,
	  title={Cylindrical and asymmetrical 3d convolution networks for lidar-based perception},
	  author={Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma*, Hongsheng Li, Ruigang Yang, Dahua Lin},
	  booktitle={TPAMI},
	  year={2021}
	}

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2021, ​
(Oral Presentation; 1st place in the leaderboard of SemanticKITTI semantic segmentation (Nov.16 2020).)

BibTex-PDF -GitHub Code

@inproceedings{iccvleveraging,
	  title={Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation},
	  author={Xinge Zhu*, Hui Zhou*, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin},
	  booktitle={CVPR},
	  year={2021}
	}

Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation.
Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Yuexin Ma, Shengfeng He, Jia Pan.
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2021

BibTex-PDF -GitHub Code

@inproceedings{yang2021projecting,
  title={Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation},
  author={Yang, Weixiang and Li, Qi and Liu, Wenxi and Yu, Yuanlong and Ma, Yuexin and He, Shengfeng and Pan, Jia},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={15536--15545},
  year={2021}
	}

Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation
Peishan Cong, Xinge Zhu, Yuexin Ma
IEEE International Conference on Multimedia and Expo (ICME), 2021

BibTex-PDF

@inproceedings{Madelving,
	  title={Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation},
	  author={Peishan Cong, Xinge Zhu, Yuexin Ma},
	  booktitle={ICME},
	  year={2021}
	}

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin
European Conference on Computer Vision (ECCV), 2020

BibTex-PDF -Github Code

@inproceedings{ssneccv,
	  title={SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds},
	  author={Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin},
	  booktitle={ECCV},
	  year={2020}
	}

AADS: Augmented autonomous driving simulation using data-driven algorithms
Wei Li, Chengwei Pan, Rong Zhang, Jiaping Ren, Yuexin Ma, Jin Fang, Feilong Yan, Qichuan Geng, Xinyu Huang, Huajun Gong, Weiwei Xu, Guoping Wang, Dinesh Manocha, Ruigang Yang.
Science Robotics, 2019

BibTex-PDF

@article{li2019aads,
  title={AADS: Augmented autonomous driving simulation using data-driven algorithms},
  author={Li, Wei and Pan, CW and Zhang, Rong and Ren, JP and Ma, YX and Fang, Jin and Yan, FL and Geng, QC and Huang, XY and Gong, HJ and others},
  journal={Science robotics},
  volume={4},
  number={28},
  year={2019},
  publisher={Science Robotics}
}

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Trajectory Prediction:

AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Yuexin Ma*, Xinge Zhu*, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha
​European Conference on Computer Vision (ECCV), 2020
(* denote equal contributions)

BibTex-PDF

@inproceedings{ma2020atuotraj,
  title={AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points},
  author={Yuexin Ma*, Xinge Zhu*, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha},
  booktitle={ECCV},
  year={2020}
}

TrafficPredict: Trajectory prediction for heterogeneous traffic-agents
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha
​Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019
(Oral Presentation; * denote equal contributions)

BibTex-PDF

@inproceedings{ma2019traffic,
  title={TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-agents},
  author={Yuexin Ma*, Xinge Zhu*, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha},
  booktitle={AAAI},
  year={2019}
}

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