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#hcomp2023 — Public Fediverse posts

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  1. My student Tanguy Lefort is going to #HCOMP2023 (at TU Delft, Nov. 6-10).
    For those interested in #crowdsourcing and ambiguous tasks detection - or other things ! - feel free to come and have a chat with him if you are there.
    A recap below of his PhD so far and he has been working on since 2021:

  2. My student Tanguy Lefort is going to #HCOMP2023 (at TU Delft, Nov. 6-10).
    For those interested in #crowdsourcing and ambiguous tasks detection - or other things ! - feel free to come and have a chat with him if you are there.
    A recap below of his PhD so far and he has been working on since 2021:

  3. New paper #hcomp2023 led by an ugrad in my lab, Andre Ye and
    @cqz! We look at how to represent uncertainty in 2D annotations for computer vision models. In this case, we focus on medical image segmentation, where uncertainty is important for experts to interpret. arxiv.org/abs/2308.07528

  4. New paper #hcomp2023 led by an ugrad in my lab, Andre Ye and
    @cqz! We look at how to represent uncertainty in 2D annotations for computer vision models. In this case, we focus on medical image segmentation, where uncertainty is important for experts to interpret. arxiv.org/abs/2308.07528

  5. New paper #hcomp2023 led by an ugrad in my lab, Andre Ye and
    @cqz! We look at how to represent uncertainty in 2D annotations for computer vision models. In this case, we focus on medical image segmentation, where uncertainty is important for experts to interpret. arxiv.org/abs/2308.07528

  6. New paper #hcomp2023 led by an ugrad in my lab, Andre Ye and
    @cqz! We look at how to represent uncertainty in 2D annotations for computer vision models. In this case, we focus on medical image segmentation, where uncertainty is important for experts to interpret. arxiv.org/abs/2308.07528

  7. New paper #hcomp2023 led by an ugrad in my lab, Andre Ye and
    @cqz! We look at how to represent uncertainty in 2D annotations for computer vision models. In this case, we focus on medical image segmentation, where uncertainty is important for experts to interpret. arxiv.org/abs/2308.07528