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Daniel Gehrig
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Daniel Gehrig

@DanielGehrig6
#ComputerVision and #Robotics PostDoc @GRASPlab and @Penn. Interested in the intersection of #DeepLearning, #ComputerVision and #Robotics.
Philadelphia, USA
Joined October 2018
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    Daniel Gehrig
    @DanielGehrig6
    Jun 19, 2024
    Happy to attend #CVPR2024 this year and meet new and old friends. Want to learn more about minimal solvers for event camera-based motion estimation? Check out poster 183 Thu at 17:15 - 18:45 in Arch 4A-E, and Oral #2 in Orals 4C Thu 13:00 - 14:30!
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    Davide Scaramuzza
    @davsca1
    Jun 17, 2024
    Meet us at #CVPR2024 this week! We will present several papers on #Nerf deblurring, #StateSpaceModels, and Motion Estimation on Manifolds for #eventcameras at the main conference and workshops! Full list with times, rooms, and links to PDFs, Code, and Videos:
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    Daniel Gehrig
    @DanielGehrig6
    Sep 13, 2023
    Thanks @davsca1 and to all team members and collaborators who supported me during my PhD journey. Special thanks also to my reviewers who asked tough and thoughtful questions. I learned alot and made many friends along the way. Looking forward to what the future brings!
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    Davide Scaramuzza
    @davsca1
    Sep 12, 2023
    Congratulations to my student @DanielGehrig6 for successfully defending his Ph.D. in “Efficient, Data-Driven Perception with Event Cameras”! Many thanks to the external reviewers Marc Pollefeys @mapo1, Kostas Daniilidis @KostasPenn, and Andreas Geiger! Daniel has contributed
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    Daniel Gehrig
    @DanielGehrig6
    Jun 25, 2021
    Check out our paper "TimeLens: Event-based Video Frame Interpolation" at #CVPR2021 in Paper Session 12 at 12:00-14:30 CEST. I will be happy to answer any questions about our work! @StepanTulyakov @MathiasGehrig @davsca1
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    Davide Scaramuzza
    @davsca1
    Jun 14, 2021
    We release our newest work on event cameras: "Time Lens". We use events to upsample low-framerate RGB HD video by over 50 times with only 1/40th of the memory footprint! #CVPR2021 Paper, code, datasets: rpg.ifi.uzh.ch/timelens @DanielGehrig6 @MathiasGehrig
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    Daniel Gehrig
    @DanielGehrig6
    Jun 15, 2021
    Very excited to share this work! It really shows that we can do amazing things with event cameras.
    user avatar
    Davide Scaramuzza
    @davsca1
    Jun 14, 2021
    We release our newest work on event cameras: "Time Lens". We use events to upsample low-framerate RGB HD video by over 50 times with only 1/40th of the memory footprint! #CVPR2021 Paper, code, datasets: rpg.ifi.uzh.ch/timelens @DanielGehrig6 @MathiasGehrig
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    Daniel Gehrig
    @DanielGehrig6
    Aug 24, 2020
    Check out our poster at #ECCV2020 to learn more about "Event-based Asynchronous Sparse Convolutional Networks" using #eventcameras between 6:00-8:00 and 14:00-16:00 GMT. Joint work with @Messikommer1, @antoniloq and @davsca1. Paper: rpg.ifi.uzh.ch/docs/ECCV20_Me…
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