Tianheng Cheng
According to our database1,
Tianheng Cheng
authored at least 33 papers
between 2018 and 2025.
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Bibliography
2025
Mach. Vis. Appl., January, 2025
2024
Image Vis. Comput., 2024
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding.
CoRR, 2024
CoRR, 2024
Lane Graph as Path: Continuity-Preserving Path-Wise Modeling for Online Lane Graph Construction.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Sci. China Inf. Sci., January, 2023
CoRR, 2023
VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene.
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction.
CoRR, 2022
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer.
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation.
Proceedings of the Conference on Robot Learning, 2022
2021
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
2020
2019
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning.
Proceedings of the 2019 International Conference on Management of Data, 2019
2018