About me

I am Yujian Mo, a Ph.D. student at Tongji University. My research focuses on deep learning for intelligent perception, with an emphasis on 3D object detection, LiDAR point cloud understanding, and multimodal data fusion for autonomous driving scenarios.

I am particularly interested in building robust perception systems that combine geometric structure, visual cues, and foundation model priors to improve detection performance under challenging real-world conditions.

What i'm doing

  • deep learning icon

    Deep Learning

    Designing neural network models for perception, representation learning, and robust scene understanding.

  • 3D object detection icon

    3D Object Detection

    Developing LiDAR and point-cloud based methods for accurate 3D object detection in autonomous driving.

  • multimodal fusion icon

    Multimodal Data Fusion

    Exploring fusion strategies across LiDAR, camera, pseudo point clouds, and foundation model features.

苏ICP备2025223200号

News

  • ACM Multimedia 2024 Oral Presentation

    Melbourne, Australia, October 2024.

    Sparse Query Dense: Enhancing 3D Object Detection with Pseudo Points was selected for oral presentation at ACM Multimedia 2024.

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Publications

Forthcoming

2026

2025

2024

2023

2022

2019

Projects

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