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  1. No Access

    Chapter and Conference Paper

    CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

    Contemporary deep-learning object detection methods for autonomous driving usually presume fixed categories of common traffic participants, such as pedestrians and cars. Most existing detectors are unable to d...

    Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye… in Computer Vision – ECCV 2022 (2022)

  2. No Access

    Chapter and Conference Paper

    DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction

    Self-supervised depth learning from monocular images normally relies on the 2D pixel-wise photometric relation between temporally adjacent image frames. However, they neither fully exploit the 3D point-wise ge...

    Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu… in Computer Vision – ECCV 2022 (2022)