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    Article

    View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

    Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people. However, cameras generally capture human poses in 2D as images and videos, which can have significant ...

    Ting Liu, Jennifer J. Sun, Long Zhao in International Journal of Computer Vision (2022)

  2. Chapter and Conference Paper

    Visual Recognition with Humans in the Loop

    We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expertise (e.g., animal species or airp...

    Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko in Computer Vision – ECCV 2010 (2010)