Search Results - "Günel, Semih"
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1
DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
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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2
LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
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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Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila
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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4
Gravity as a Reference for Estimating a Person's Height From Video
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2019)“…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
Overcoming the Domain Gap in Neural Action Representations
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
LiftPose3D, a deep learning-based approach for transforming 2D to 3D pose in laboratory animals
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…”
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Journal Article -
7
Ascending neurons convey behavioral state to integrative sensory and action selection brain regions
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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8
What Face and Body Shapes Can Tell Us About Height
Published in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) (01-10-2019)“…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
Overcoming the Domain Gap in Neural Action Representations
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…”
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Journal Article -
10
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations
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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11
Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…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
What Face and Body Shapes Can Tell About Height
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
Gravity as a Reference for Estimating a Person's Height from Video
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
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
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…”
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Journal Article