Publications

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2026

  1. CVPR 2026
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    SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving
    Infusing explicit spatial representations into vision-language models for robust autonomous driving with 3D spatial reasoning.
    Peizheng Li, Zhenghao Zhang, David Holtz, Hang Yu, Yutong Yang, Yuzhi Lai, Rui Song, Andreas Geiger, and Andreas Zell
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    arXiv PDF Supp Video Code Poster Website
  2. T-ASE 2026
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    FAM-HRI: Foundation-Model Assisted Multimodal Human-Robot Interaction Combining Gaze and Speech
    Foundation-model assisted multimodal HRI that fuses gaze and speech via LLMs for intuitive robot manipulation.
    Yuzhi Lai, Shenghai Yuan, Peizheng Li, Boya Zhang, Benjamin Kiefer, Tianchen Deng, and Andreas Zell
    IEEE Transactions on Automation Science and Engineering, 2026
    DOI arXiv PDF Code
  3. ArXiv 2026
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    Sticky-Glance: Robust Intent Recognition for Human Robot Collaboration via Single-Glance
    Robust single-glance intent recognition for natural human-robot collaboration in shared workspaces.
    Yuzhi Lai, Shenghai Yuan, Peizheng Li, and Andreas Zell
    arXiv preprint arXiv:2603.06121, 2026
    arXiv PDF
  4. ICML 2026 Highlight
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    Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
    Clinically grounded multimodal benchmark and models for fine-grained seizure semiology understanding.
    Lina Zhang, Tonmoy Monsoor, Peizheng Li, Jiarui Cui, Xinyi Peng, Chong Han, Prateik Sinha, Siyuan Dai, Jessica Nichole Pasqua, Colin M McCrimmon, Weiting Liu, Hailey Marie Miranda, Bing Hu, Xiangting Wu, Tengyou Xu, Chunhan Li, Jiaye Tian, Jiarui Tang, Detao Ma, Lingye Kong, Junnan Lyu, Jungang Li, Yan Zan, Junhua Huang, Rajarshi Mazumder, and Vwani Roychowdhury
    International Conference on Machine Learning (ICML), 2026
    arXiv PDF
  5. EMBC 2026
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    Can Multimodal Large Language Models Understand Pathologic Movements? A Pilot Study on Seizure Semiology
    Pilot study evaluating multimodal large language models for interpretable pathological movement recognition in seizure videos.
    Lina Zhang, Tonmoy Monsoor, Mehmet Efe Lorasdagi, Prateik Sinha, Chong Han, Peizheng Li, Yuan Wang, Jessica Pasqua, Colin McCrimmon, Rajarshi Mazumder, and Vwani Roychowdhury
    Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2026
    arXiv PDF Code

2025

  1. ICCV 2025
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    AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
    Adaptive grounding framework that bridges 2D vision-language features to open-world 3D occupancy prediction without manual vocabulary.
    Peizheng Li, Shuxiao Ding, You Zhou, Qingwen Zhang, Onat Inak, Larissa Triess, Niklas Hanselmann, Marius Cordts, and Andreas Zell
    International Conference on Computer Vision (ICCV), 2025
    arXiv PDF Supp Code Poster Website
  2. ArXiv 2025
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    TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking
    Temporal query denoising approach for robust 3D multi-object tracking in autonomous driving scenarios.
    Shuxiao Ding, Yutong Yang, Julian Wiederer, Markus Braun, Peizheng Li, Juergen Gall, and Bin Yang
    arXiv preprint arXiv:2504.03258, 2025
    arXiv PDF
  3. ArXiv 2025
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    SEER-VAR: Semantic Egocentric Environment Reasoner for Vehicle Augmented Reality
    Semantic egocentric environment reasoning for vehicle augmented reality with spatial understanding.
    Yuzhi Lai, Shenghai Yuan, Peizheng Li, Jun Lou, and Andreas Zell
    arXiv preprint arXiv:2508.17255, 2025
    arXiv PDF

2024

  1. ECCV 2024
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    SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
    Self-supervised scene flow estimation from point clouds, eliminating the need for expensive human annotations.
    Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, and Patric Jensfelt
    European Conference on Computer Vision (ECCV), 2024
    arXiv PDF Supp Code Poster

2023

  1. IJCAI 2023
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    PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View
    Lightweight yet powerful BEV framework for joint instance segmentation and future motion prediction.
    Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, and Juergen Gall
    International Joint Conference on Artificial Intelligence (IJCAI), 2023
    arXiv PDF Code Poster