Tongyi Cao

Shenzhen Metro (China) — China

Environmental Science · Physical Sciences

9h-index633citations28works1.72yr avg
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Research Topics

Remote Sensing and LiDAR Applications(9), Advanced Neural Network Applications(6), Robotics and Sensor-Based Localization(6), 3D Shape Modeling and Analysis(6), Autonomous Vehicle Technology and Safety(6)

Publications28 total

Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving
arXiv (Cornell University)·2024Open Access
PPAD: Iterative Interactions of Prediction and Planning for End-to-End Autonomous Driving
Lecture notes in computer science·2024· 5 cited
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
arXiv (Cornell University)·2024Open Access
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
arXiv (Cornell University)·2023Open Access
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
2023· 7 cited
Bootstrap Motion Forecasting With Self-Consistent Constraints
2023· 13 cited
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
arXiv (Cornell University)·2023Open Access
From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion
arXiv (Cornell University)·2022· 2 citedOpen Access
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 37 citedOpen Access
Bootstrap Motion Forecasting With Self-Consistent Constraints
arXiv (Cornell University)·2022Open Access
Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation
arXiv (Cornell University)·2022Open Access
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks
Lecture notes in computer science·2022· 29 cited
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
arXiv (Cornell University)·2021· 16 citedOpen Access
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 48 cited
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
arXiv (Cornell University)·2021· 6 citedOpen Access
TPCN: Temporal Point Cloud Networks for Motion Forecasting
2021· 164 cited
TPCN: Temporal Point Cloud Networks for Motion Forecasting
arXiv (Cornell University)·2021· 7 citedOpen Access
Provably adaptive reinforcement learning in metric spaces
arXiv (Cornell University)·2020· 3 citedOpen Access
Provably adaptive reinforcement learning in metric spaces
arXiv (Cornell University)·2020· 1 citedOpen Access
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
2020· 235 cited
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Frequent Co-authors

Maosheng Ye(13), Shuangjie Xu(13), Qifeng Chen(11), Akshay Krishnamurthy(6), Xiaoyi Zou(5), Rui Wan(3), Rui Wan(2), Ke Xu(2), Swair Shah(2), Crystal Maung(2), Haim Schweitzer(2), Jiamiao Xu(2), Xunnong Xu(2), Dit‐Yan Yeung(2), Fang Lü(2), Zhili Chen(2), Maosheng Ye(2), Tengfei Wang(1), Xuechao Chen(1), Youlu Xing(1)