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  1. No Access

    Chapter and Conference Paper

    MIME: Minority Inclusion for Majority Group Enhancement of AI Performance

    Several papers have rightly included minority groups in artificial intelligence (AI) training data to improve test inference for minority groups and/or society-at-large. A society-at-large consists of both min...

    Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Not Just Streaks: Towards Ground Truth for Single Image Deraining

    We propose a large-scale dataset of real-world rainy and clean image pairs and a method to remove degradations, induced by rain streaks and rain accumulation, from the image. As there exists no real-world dat...

    Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki… in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Deep Shape from Polarization

    This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the realm of deep learning. The previous state-of-the-art methods for SfP have been purely physics-based. We see value in ...

    Yunhao Ba, Alex Gilbert, Franklin Wang, **fa Yang, Rui Chen… in Computer Vision – ECCV 2020 (2020)