🤖 About Me

  • I’m a Scientist working at Agency for Science, Technology and Research (A*STAR) in Singapore.

  • My research focuses on perception and planning in embodied AI, aiming to empower autonomous systems with the ability to perceive, understand, and navigate complex 3D environments. I work at the intersection of 3D scene understanding, motion planning, and vision-language model, with the goal of bridging visual perception and intelligent decision-making. I have authored over 20 peer-reviewed papers in leading venues, including TPAMI, CVPR, ICCV, RAL, ICRA and IROS.

  • I’m always open to collaboration and in-depth discussions. If you’re interested in my research, feel free to get in touch!

🔥 News

  • 2025: Two papers were accepted to ICCV, and one paper was accepted to CVPR.
  • 2024.4: I successfully defended my PhD thesis and began my new role as a Scientist at A*STAR.

📖 Experience

Educations

UniBonn
2019.10 ‑ 2024.4, Doctor
Supervisor: Prof. Dr. Juergen Gall
University of Bonn @ Bonn, Germany
Nankai
2016.09 ‑ 2019.06, Master
Supervisor: Prof. Dr. Ming-Ming Cheng
Nankai University @ Tianjin, China
UESTC
2012.09 ‑ 2016.06, Bachlor
Supervisor: Prof. Dr. Hong Cheng
University of Electronic Science and Technology of China @ Chengdu, China

Working Experience

A*STAR
2024.03 ‑ Present, Scientist
Agency for Science, Technology and Research (A*STAR) @ Singapore
Qualcomm
2023.07 ‑ 2023.11, Research Intern
Qualcomm AI Research @ Amsterdam, Netherlands
Intel
2023.1 ‑ 2023.5, Research Intern
Intel Labs @ Munich, Germany
TUM
2018.10 ‑ 2018.12, Visisting Student
Technical University of Munich @ Munich, Germany
Intel
2018.5 ‑ 2018.8, Research Intern
Alibaba DAMO Academy @ Beijing, China
UISEE
2017.6 ‑ 2018.2, Research Intern
UISEE @ Beijing, China

📝 Publications

Preprint

  • [arXiv 2025] Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion [PDF]

    Yifan Liu, Xun Xu, Shijie Li, Jingyi Liao, Xulei Yang

2025

  • [ICCV 2025] Global-Aware Monocular Semantic Scene Completion with State Space Models [PDF] [code]

    Shijie Li, Zhongyao Cheng, Rong Li, Shuai Li, Juergen Gall, Xun Xu, Xulei Yang

  • [ICCV 2025] Future-Aware Interaction Network For Motion Forecasting [PDF] [code]

    Shijie Li, Xun Xu, Si Yong Yeo, Xulei Yang

  • [CVPR 2025] Seeground: See and ground for zero-shot open-vocabulary 3d visual grounding [PDF] [code]

    Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang

  • [WACV 2025] VaLID: Variable-Length Input Diffusion for Novel View Synthesis [PDF]

    Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Juergen Gall, Amirhossein Habibian

2024

  • [CVPRW 2024] Tfnet: Exploiting temporal cues for fast and accurate lidar semantic segmentation [PDF]

    Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang

2023

  • [TPAMI] MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation [PDF] [code]

    Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall

  • [CCDC 2023] Foresight Social-aware Reinforcement Learning for Robot Navigation [PDF]

    Yanying Zhou, Shijie Li, Jochen Garcke

2022

  • [BMVC 2022] Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis [PDF] [code]

    Shijie Li, Ming-Ming Cheng, Juergen Gall

2021

  • [RA-L 2021] Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data [PDF] [code]

    Xieyuanli Chen, Shijie Li, Benedikt Mersch, Lukas Wiesmann, Juergen Gall, Jens Behley, Cyrill Stachniss

  • [RA-L 2021] Multi-scale interaction for real-time lidar data segmentation on an embedded platform [PDF] [code]

    Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall

  • [TNNLS] Rethinking 3-D LiDAR point cloud segmentation [PDF] [code]

    Shijie Li, Yun Liu, Juergen Gall

  • [ICCV 2021] Spatial-temporal consistency network for low-latency trajectory forecasting [PDF]

    Shijie Li, Yanying Zhou, Jinhui Yi, Juergen Gall

2020

  • [AAAI 2020] MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation [PDF] [code]

    Yu Qiu, Yun Liu, Shijie Li, Jing Xu

  • [RA-L 2020]Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition [PDF] [code]

    Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall

  • [Neurocomputing] Refinedbox: Refining for fewer and high-quality object proposals [PDF]

    Yun Liu, Shijie Li, Ming-Ming Cheng

2019

  • [Frontiers of Computer Science] Joint salient object detection and existence prediction [PDF]

    Huaizu Jiang, Ming-Ming Cheng, Shijie Li, Ali Borji, Jingdong Wang

2018

  • [IJCAI 2018] Del: Deep embedding learning for efficient image segmentation [PDF] [code]

    Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shijie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng

  • [ICRA 2018] Direct line guidance odometry [PDF]

    Shijie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan Frost, Victor Adrian Prisacariu

  • [IROS 2018] Structured skip list: A compact data structure for 3D reconstruction [PDF]

    Shijie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, YaHui Wang, Victor Adrian Prisacariu

🌏 Travel

I enjoy exploring different places—here’s a list of countries I’ve visited so far 😊

  • Asia: 🇨🇳 🇸🇬 🇲🇾 🇮🇩 🇶🇦 🇦🇪 🇰🇷

  • Europe: 🇸🇪 🇵🇱 🇬🇧 🇨🇿 🇦🇹 🇮🇹 🇲🇨 🇫🇷 🇵🇹 🇪🇸 🇨🇭 🇧🇪 🇩🇪 🇳🇱 🇱🇺

  • North America: 🇺🇸

  • Oceania: 🇦🇺