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ldkong1205/README.md

Hi there 👋

I am a Ph.D. candidate in the Department of Computer Science at the National University of Singapore.

My research pursues to build 3D perception and generation models that are robust, scalable, and generalizable across domains and scenarios, while requiring minimum human annotations.

I have been fortunate to have research attachments and internships at NVIDIA Research, OpenMMLab, MMLab@NTU, Motional, and ByteDance AI Lab.

🦁 I am open to discussions and collaborations in 3D scene perception and generation. Feel free to drop me an email if you find our research backgrounds a potential match.

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Pinned

  1. OpenESS OpenESS Public

    [CVPR 2024 Highlight] OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies

    26

  2. LaserMix LaserMix Public

    [CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation

    Python 258 16

  3. Robo3D Robo3D Public

    [ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

    Python 280 23

  4. RoboDepth RoboDepth Public

    [NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

    Python 246 31

  5. TranSVAE TranSVAE Public

    [NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

    Jupyter Notebook 119 11

  6. open-mmlab/mmdetection3d open-mmlab/mmdetection3d Public

    OpenMMLab's next-generation platform for general 3D object detection.

    Python 4.9k 1.5k