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  1. 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)

  2. Chapter and Conference Paper

    Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

    Spatial pyramid pooling module or encode-decoder structure are used in deep neural networks for semantic segmentation task. The former networks are able to encode multi-scale contextual information by probing ...

    Liang-Chieh Chen, Yukun Zhu, George Papandreou in Computer Vision – ECCV 2018 (2018)