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    Chapter and Conference Paper

    EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

    In the pursuit of achieving ever-increasing accuracy, large and complex neural networks are usually developed. Such models demand high computational resources and therefore cannot be deployed on edge devices. ...

    Muhammad Maaz, Abdelrahman Shaker in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation

    Single-stage instance segmentation approaches have recently gained popularity due to their speed and simplicity, but are still lagging behind in accuracy, compared to two-stage methods. We propose a fast singl...

    Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal in Computer Vision – ECCV 2020 (2020)