Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation. - Minqing Zhang; Jiantao Gao; Zhen Lyu; Weibing Zhao; Qin Wang 011; Weizhen Ding; Sheng Wang 001; Zhen Li 026; Shuguang Cui (MICCAI (1), 2020)

Diverse receptive field network with context aggregation for fast object detection. - Shaorong Xie; Chang Liu 082; Jiantao Gao; Xiaomao Li; Jun Luo 006; Baojie Fan; Jiahong Chen; Huayan Pu; Yan Peng 001 (J. Vis. Commun. Image Represent., 2020)

An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. - Feng Xie 002; Ruichu Cai; Yan Zeng 002; Jiantao Gao; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2020)

COVID-19 CT Lung and Infection Segmentation Dataset. - Jun Ma 016; Cheng Ge; Yixin Wang 003; Xingle An; Jiantao Gao; Ziqi Yu; Minqing Zhang; Xin Liu; Xueyuan Deng; Shucheng Cao; Hao Wei; Sen Mei; et al. (Zenodo, 2020)

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion. - Xu Yan 005; Jiantao Gao; Jie Li 002; Ruimao Zhang; Zhen Li 026; Rui Huang; Shuguang Cui (AAAI, 2021)

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. - Chaoda Zheng; Xu Yan 005; Jiantao Gao; Weibing Zhao; Wei Zhang 001; Zhen Li 026; Shuguang Cui (ICCV, 2021)

PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery. - Weibing Zhao; Xu Yan 005; Jiantao Gao; Ruimao Zhang; Jiayan Zhang; Zhen Li 026; Song Wu; Shuguang Cui (IJCAI, 2021)

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds. - Xu Yan 005; Jiantao Gao; Chaoda Zheng; Chao Zheng; Ruimao Zhang; Shuguang Cui; Zhen Li 026 (ECCV (28), 2022)

Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis. - Xu Yan 005; Heshen Zhan; Chaoda Zheng; Jiantao Gao; Ruimao Zhang; Shuguang Cui; Zhen Li 026 (NeurIPS, 2022)

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds. - Xu Yan 005; Jiantao Gao; Chaoda Zheng; Chao Zheng; Ruimao Zhang; Shenghui Cui; Zhen Li 026 (CoRR, 2022)

RE-Det3D: RoI-enhanced 3D object detector. - Yiqiang Wu; Weiping Xiao; Chang Liu 082; Jiantao Gao; Jiacheng Sun; Guozhu Tan; Xiaomao Li (Image Vis. Comput., 2022)

3D-VDNet: Exploiting the vertical distribution characteristics of point clouds for 3D object detection and augmentation. - Weiping Xiao; Xiaomao Li; Chang Liu 082; Jiantao Gao; Jun Luo 006; Yan Peng 001; Yang Zhou (Image Vis. Comput., 2022)

Mitigate the classification ambiguity via localization-classification sequence in object detection. - Chang Liu 082; Shaorong Xie; Xiaomao Li; Jiantao Gao; Weiping Xiao; Baojie Fan; Yan Peng 001 (Pattern Recognit., 2023)

Balanced Sample Assignment and Objective for Single-Model Multi-Class 3D Object Detection. - Weiping Xiao; Yan Peng 001; Chang Liu 082; Jiantao Gao; Yiqiang Wu; Xiaomao Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation. - Haiming Zhang 001; Xu Yan 005; Dongfeng Bai; Jiantao Gao; Pan Wang; Bingbing Liu; Shuguang Cui; Zhen Li 026 (AAAI, 2024)

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities. - Xu Yan 005; Haiming Zhang 001; Yingjie Cai; Jingming Guo; Weichao Qiu; Bin Gao; Kaiqiang Zhou; Yue Zhao; Huan Jin; Jiantao Gao; Zhen Li 026; Lihui Jiang; et al. (CoRR, 2024)

Spatial-Aware Learning in Feature Embedding and Classification for One-Stage 3-D Object Detection. - Yiqiang Wu; Weiping Xiao; Jiantao Gao; Chang Liu 082; Yu Qin; Yan Peng 001; Xiaomao Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds. - Jiantao Gao; Xu Yan 005; Weibing Zhao; Zhen Lyu; Yinghong Liao; Chaoda Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving. - Haiming Zhang 001; Wending Zhou; Yiyao Zhu; Xu Yan 005; Jiantao Gao; Dongfeng Bai; Yingjie Cai; Bingbing Liu; Shuguang Cui; Zhen Li 026 (CVPR, 2025)