Search Results - "Günel, Semih"

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  1. 1

    DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila by Günel, Semih, Rhodin, Helge, Morales, Daniel, Campagnolo, João, Ramdya, Pavan, Fua, Pascal

    Published in eLife (04-10-2019)
    “…Studying how neural circuits orchestrate limbed behaviors requires the precise measurement of the positions of each appendage in three-dimensional (3D) space…”
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    Journal Article
  2. 2

    LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals by Gosztolai, Adam, Günel, Semih, Lobato-Ríos, Victor, Pietro Abrate, Marco, Morales, Daniel, Rhodin, Helge, Fua, Pascal, Ramdya, Pavan

    Published in Nature methods (01-08-2021)
    “…Markerless three-dimensional (3D) pose estimation has become an indispensable tool for kinematic studies of laboratory animals. Most current methods recover 3D…”
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    Journal Article
  3. 3

    Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila by Hermans, Laura, Kaynak, Murat, Braun, Jonas, Ríos, Victor Lobato, Chen, Chin-Lin, Friedberg, Adam, Günel, Semih, Aymanns, Florian, Sakar, Mahmut Selman, Ramdya, Pavan

    Published in Nature communications (25-08-2022)
    “…The dynamics and connectivity of neural circuits continuously change on timescales ranging from milliseconds to an animal’s lifetime. Therefore, to understand…”
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    Journal Article
  4. 4

    Gravity as a Reference for Estimating a Person's Height From Video by Bieler, Didier, Gunel, Semih Gunel, Fua, Pascal, Rhodin, Helge

    “…Estimating the metric height of a person from monocular imagery without additional assumptions is ill-posed. Existing solutions either require manual…”
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    Conference Proceeding
  5. 5

    Overcoming the Domain Gap in Neural Action Representations by Günel, Semih, Aymanns, Florian, Honari, Sina, Ramdya, Pavan, Fua, Pascal

    Published in International journal of computer vision (01-03-2023)
    “…Relating behavior to brain activity in animals is a fundamental goal in neuroscience, with practical applications in building robust brain-machine interfaces…”
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    Journal Article
  6. 6

    LiftPose3D, a deep learning-based approach for transforming 2D to 3D pose in laboratory animals by Gosztolai, Adam, Günel, Semih, Ríos, Victor Lobato, Abrate, Marco Pietro, Morales, Daniel, Rhodin, Helge, Fua, Pascal, Ramdya, Pavan

    Published in Nature methods (01-08-2021)
    “…Markerless 3D pose estimation has become an indispensable tool for kinematic studies of laboratory animals. Most current methods recover 3D pose by multi-view…”
    Get full text
    Journal Article
  7. 7

    Ascending neurons convey behavioral state to integrative sensory and action selection brain regions by Chen, Chin-Lin, Aymanns, Florian, Minegishi, Ryo, Matsuda, Victor D. V., Talabot, Nicolas, Günel, Semih, Dickson, Barry J., Ramdya, Pavan

    Published in Nature neuroscience (01-04-2023)
    “…Knowing one’s own behavioral state has long been theorized as critical for contextualizing dynamic sensory cues and identifying appropriate future behaviors…”
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    Journal Article
  8. 8

    What Face and Body Shapes Can Tell Us About Height by Gunel, Semih, Rhodin, Helge, Fua, Pascal

    “…Recovering a person's height from a single image is important for virtual garment fitting, autonomous driving and surveillance. However, it is also very…”
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    Conference Proceeding
  9. 9

    Overcoming the Domain Gap in Neural Action Representations by Günel, Semih, Aymanns, Florian, Honari, Sina, Ramdya, Pavan, Fua, Pascal

    Published 02-12-2021
    “…Relating animal behaviors to brain activity is a fundamental goal in neuroscience, with practical applications in building robust brain-machine interfaces…”
    Get full text
    Journal Article
  10. 10

    Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations by Günel, Semih, Aymanns, Florian, Honari, Sina, Ramdya, Pavan, Fua, Pascal

    Published 29-11-2021
    “…A fundamental goal in neuroscience is to understand the relationship between neural activity and behavior. For example, the ability to extract behavioral…”
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    Journal Article
  11. 11

    Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals by Li, Siyuan, Gunel, Semih, Ostrek, Mirela, Ramdya, Pavan, Fua, Pascal, Rhodin, Helge

    “…Our goal is to capture the pose of real animals using synthetic training examples, without using any manual supervision. Our focus is on neuroscience model…”
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    Conference Proceeding
  12. 12

    What Face and Body Shapes Can Tell About Height by Günel, Semih, Rhodin, Helge, Fua, Pascal

    Published 25-05-2018
    “…Recovering a person's height from a single image is important for virtual garment fitting, autonomous driving and surveillance, however, it is also very…”
    Get full text
    Journal Article
  13. 13

    Gravity as a Reference for Estimating a Person's Height from Video by Bieler, Didier, Günel, Semih, Fua, Pascal, Rhodin, Helge

    Published 05-09-2019
    “…Estimating the metric height of a person from monocular imagery without additional assumptions is ill-posed. Existing solutions either require manual…”
    Get full text
    Journal Article
  14. 14

    Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals by Li, Siyuan, Günel, Semih, Ostrek, Mirela, Ramdya, Pavan, Fua, Pascal, Rhodin, Helge

    Published 23-01-2020
    “…Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate…”
    Get full text
    Journal Article