Linqing Zhao（赵林清）

I'm currently a Postdoctoral fellow of Department of Automation, Tsinghua University, affiliated with Intelligent Vision Group (IVG), supervised by Prof. Jiwen Lu.

I received the B.Eng. and Ph.D. degrees in information and communication engineering from the School of Electrical and Information Engineering, Tianjin University, China, in 2017 and 2024, respectively, supervised by Prof. Zhanjie Song. During my PhD studies, I was honored to be a visiting student at Intelligent Vision Group (IVG), supervised by Prof. Jie Zhou and Prof. Jiwen Lu.

My research interests lie in computer vision, especially robot vision, autonomous driving perception, and deep learning.

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News

  • 2025-04: One co-author paper on 3D Object Detection is accepted to TCSVT.
  • 2025-04: One paper on Multi-modal Semantic Segmentation is accepted to TMM.
  • 2025-03: One co-author paper on Zero-shot Object Navigation is accepted to CVPR 2025.
  • 2025-01: One co-author paper on Online 3D Instance Segmentation is accepted to ICLR 2025 (oral paper).
  • 2024-12: Selected into Shuimu Tsinghua Scholar Program.
  • 2024-05: One paper on Lane Detection is accepted to TIP.
  • 2024-02: Two papers on 3D Occupancy and Online 3D Scene Perception are accepted to CVPR 2024.
  • 2024-01: One paper on Depth Completion is accepted to TIP.
  • 2023-09: One paper on Unsupervised Depth Completion is accepted to TCSVT.

    • Recent Selected Publications

    (*Equal Contribution, #Corresponding Author)

    		Similarity-Aware Fusion Network for Robust Multi-Modal Semantic Segmentation
    Linqing Zhao, Jiwen Lu#, Jie Zhou
    IEEE Transactions on Multimedia (TMM), 2025.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.

    We propose a similarity-aware fusion network (SAFNet) to adaptively fuse 2D images and 3D point clouds for Multi-Modal semantic segmentation.

    		StructLane: Leveraging Structural Relations for Lane Detection
    Linqing Zhao, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu#
    IEEE Transactions on Image Processing (TIP), 2024.

    We propose the StructLane method to enhance lane detection accuracy and robustness by harnessing the structural relationships among lanes.

    		LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction
    Linqing Zhao, Xiuwei Xu, Ziwei Wang, Yunpeng Zhang, Borui Zhang, Wenzhao Zheng, Dalong Du, Jie Zhou, Jiwen Lu#
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

    We propose LowRankOcc to address spatial redundancy in 3D semantic occupancy prediction, leveraging the inherent low-rank property of occupancy data.

    		Structure-aware Cross-Modal Transformer for Depth Completion
    Linqing Zhao, Yi Wei, Jiaxin Li, Jie Zhou, Jiwen Lu#
    IEEE Transactions on Image Processing (TIP), 2024.

    We disentangle the hierarchical 3D scene-level structure from the RGB-D input and construct a pathway to make sharp depth boundaries and object shape outlines accessible to 2D features.

    		SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth Completion
    Linqing Zhao, Wenzhao Zheng, Yueqi Duan, Jie Zhou, Jiwen Lu#
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.

    We propose to reformulate depth completion as the process of 3D structure generation, where the generated structure should recover the complete scene and also consist with the known partial structure.

    		SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
    Yi Wei*, Linqing Zhao*, Wenzhao Zheng, Zheng Zhu, Jie Zhou , Jiwen Lu#
    IEEE International Conference on Computer Vision (ICCV), 2023

    We design a pipeline to generate dense occupancy ground truths without expensive occupancy annotations, which enables the training of more dense 3D occupancy prediction models.

    		Dense Hybrid Proposal Modulation for Lane Detection
    Yuejian Wu, Linqing Zhao, Jiwen Lu, Haibin Yan#
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.

    We densely modulate all proposals to generate topologically and spatially high-quality lane predictions with discriminative representations.

    		SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
    Yi Wei*, Linqing Zhao*, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu#, Jie Zhou
    Conference on Robot Learning (CoRL), 2022

    We propose a SurroundDepth method to incorporate the information from multiple surrounding views to predict depth maps across cameras.

    		Learning Hybrid Semantic Affinity for Point Cloud Segmentation
    Zhanjie Song, Linqing Zhao, Jie Zhou#
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.

    We present a hybrid semantic affinity learning method (HSA) to capture and leverage the dependencies of categories for 3D semantic segmentation, which aims to learn the label dependencies between 3D points from a hybrid perspective.

    Honors

  • Shuimu Scholar, Tsinghua University: 2024
  • Academic Scholarship of Tianjin University: 2017, 2019, 2022
  • First Prize of the Doctoral Student Academic Forum of the School of EIE, Tianjin University: 2022

    • Academic Services

  • Conference Reviewer: ICRA, IROS, ACM MM, ICME, ICASSP
  • Journal Reviewer: TIP, TCSVT, TBIOM, Pattern Recognition


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