Jiantao Gao

Orcid: 0000-0001-5057-0229

According to our database1, Jiantao Gao authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities.
CoRR, 2024

RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Balanced Sample Assignment and Objective for Single-Model Multi-Class 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Mitigate the classification ambiguity via localization-classification sequence in object detection.
Pattern Recognit., June, 2023

RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation.
CoRR, 2023

2022
3D-VDNet: Exploiting the vertical distribution characteristics of point clouds for 3D object detection and augmentation.
Image Vis. Comput., 2022

RE-Det3D: RoI-enhanced 3D object detector.
Image Vis. Comput., 2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.
CoRR, 2022

Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables.
IEEE Trans. Neural Networks Learn. Syst., 2020

Diverse receptive field network with context aggregation for fast object detection.
J. Vis. Commun. Image Represent., 2020

Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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