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Jiantao Gao
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2020 – today
- 2024
- [j8]Yiqiang Wu, Weiping Xiao, Jiantao Gao, Chang Liu, Yu Qin, Yan Peng, Xiaomao Li:
Spatial-Aware Learning in Feature Embedding and Classification for One-Stage 3-D Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j7]Jiantao Gao, Xu Yan, Weibing Zhao, Zhen Lyu, Yinghong Liao, Chaoda Zheng:
Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9470-9482 (2024) - [c7]Haiming Zhang, Xu Yan, Dongfeng Bai, Jiantao Gao, Pan Wang, Bingbing Liu, Shuguang Cui, Zhen Li:
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation. AAAI 2024: 7060-7068 - [i8]Xu Yan, Haiming Zhang, Yingjie Cai, Jingming Guo, Weichao Qiu, Bin Gao, Kaiqiang Zhou, Yue Zhao, Huan Jin, Jiantao Gao, Zhen Li, Lihui Jiang, Wei Zhang, Hongbo Zhang, Dengxin Dai, Bingbing Liu:
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities. CoRR abs/2401.08045 (2024) - [i7]Haiming Zhang, Wending Zhou, Yiyao Zhu, Yan Xu, Jiantao Gao, Dongfeng Bai, Yingjie Cai, Bingbing Liu, Shuguang Cui, Zhen Li:
VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving. CoRR abs/2411.14716 (2024) - 2023
- [j6]Chang Liu, Shaorong Xie, Xiaomao Li, Jiantao Gao, Weiping Xiao, Baojie Fan, Yan Peng:
Mitigate the classification ambiguity via localization-classification sequence in object detection. Pattern Recognit. 138: 109418 (2023) - [j5]Weiping Xiao, Yan Peng, Chang Liu, Jiantao Gao, Yiqiang Wu, Xiaomao Li:
Balanced Sample Assignment and Objective for Single-Model Multi-Class 3D Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5036-5048 (2023) - [i6]Haiming Zhang, Xu Yan, Dongfeng Bai, Jiantao Gao, Pan Wang, Bingbing Liu, Shuguang Cui, Zhen Li:
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation. CoRR abs/2312.11829 (2023) - 2022
- [j4]Yiqiang Wu, Weiping Xiao, Chang Liu, Jiantao Gao, Jiacheng Sun, Guozhu Tan, Xiaomao Li:
RE-Det3D: RoI-enhanced 3D object detector. Image Vis. Comput. 121: 104430 (2022) - [j3]Weiping Xiao, Xiaomao Li, Chang Liu, Jiantao Gao, Jun Luo, Yan Peng, Yang Zhou:
3D-VDNet: Exploiting the vertical distribution characteristics of point clouds for 3D object detection and augmentation. Image Vis. Comput. 127: 104557 (2022) - [c6]Yan Xu, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, Zhen Li:
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds. ECCV (28) 2022: 677-695 - [c5]Xu Yan, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li:
Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis. NeurIPS 2022 - [i5]Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shenghui Cui, Zhen Li:
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds. CoRR abs/2207.04397 (2022) - [i4]Xu Yan, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li:
Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis. CoRR abs/2210.04208 (2022) - 2021
- [c4]Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui:
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion. AAAI 2021: 3101-3109 - [c3]Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui:
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. ICCV 2021: 13179-13188 - [c2]Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui:
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery. IJCAI 2021: 1345-1351 - [i3]Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui:
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery. CoRR abs/2104.14769 (2021) - [i2]Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui:
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. CoRR abs/2108.04728 (2021) - 2020
- [j2]Shaorong Xie, Chang Liu, Jiantao Gao, Xiaomao Li, Jun Luo, Baojie Fan, Jiahong Chen, Huayan Pu, Yan Peng:
Diverse receptive field network with context aggregation for fast object detection. J. Vis. Commun. Image Represent. 70: 102770 (2020) - [j1]Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao:
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1667-1680 (2020) - [c1]Minqing Zhang, Jiantao Gao, Zhen Lyu, Weibing Zhao, Qin Wang, Weizhen Ding, Sheng Wang, Zhen Li, Shuguang Cui:
Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation. MICCAI (1) 2020: 721-730 - [i1]Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui:
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion. CoRR abs/2012.03762 (2020)
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