Ayoung Profile
Ayoung

@_ayoungk

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171

Associate professor, SNU SLAM computer vision lidar underwater unconventional sensors

Seoul, Republic of Korea
Joined April 2024
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@SciRobotics
Science Robotics
4 days
Scientists have developed a rollable robotic structure that is flexible enough to collapse into a compact hub like a tape measure, but also stiff enough to bear heavy loads like 3D printers when extended. Learn more in Science #Robotics: https://t.co/fgD4ZjcnPp
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@_ayoungk
Ayoung
5 days
Tried this on two of my submitted manuscripts under review. We got very constructive feedback to enhance the paper before the review arrives in a few months.🀞
@AndrewYNg
Andrew Ng
6 days
Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was
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@jianyuan_wang
Jianyuan
17 days
Beautiful work Depth Anything 3 by @HaotongLin, @bingyikang , and the team! btw I thought it would be named as Depth Anything v3 πŸ˜ƒ
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@_ayoungk
Ayoung
17 days
Check our heterogeneous radar PR. How can we localize automotive radar on the map created by imaging radar?
@rsasaki0109
rsasaki0109
17 days
[RA-L] SHeRLoc: Synchronized Heterogeneous Radar Place Recognition for Cross-Modal Localization https://t.co/QhejbdZ6DB
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@ieee_ras_crv
IEEE RAS TC for Computer & Robot Vision
22 days
πŸš€ Best paper candidate at ICCV: Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction (Chen et al., 2025) β€” check it out here: https://t.co/3MNQeU8wXA For anyone working on 3D reconstruction, SLAM or dynamic scene understanding β€” this is a must-see that shows how
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@_ayoungk
Ayoung
1 month
Very unexpected meet up 😲
@youngsun
Youngsun Shin
1 month
κΉλΆ€μΉ˜ν‚¨μ—μ„œ 이재용 μ •μ˜μ„  μ  μŠ¨ν™©μ΄ 치λ§₯을 ν•  κ²ƒμ΄λΌλŠ” 것을 λŒ€μ²΄ λˆ„κ°€ μ˜ˆμΈ‘ν•  수 μžˆμ—ˆμ„κΉŒμš”? @AlloraNetwork κ°€ ν˜Ήμ‹œ 집단지성 AIλͺ¨λΈμ„ ν†΅ν•΄μ„œ 이λ₯Ό μ˜ˆμΈ‘ν•˜κ³  @SonicLabs 의 λΉ λ₯Έ νŠΈλžœμž­μ…˜μ„ 톡해 κΉλΆ€μΉ˜ν‚¨ 자리λ₯Ό μ„ μ ν–ˆλ‹€λ©΄ μ € μžλ¦¬μ—μ„œ 같이 μΉ˜ν‚¨μ„ 먹을 수 μžˆμ—ˆμ„κΉŒμš”?
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@_ayoungk
Ayoung
1 month
Thu poster 6, we will be presenting TRAN-D at poster #308 🌴
@_ayoungk
Ayoung
4 months
Our new work TRAN-D is accepted to ICCV 2025! TRAN-D reconstructs transparent object geometry in more dynamic scenes. https://t.co/PrHSDAZpPE πŸ“‰39% lower MAE than baselines, with fewer views. ⚑️Scene updates in seconds with physics sim, no rescan needed! More in the thread πŸ‘‡
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@_ayoungk
Ayoung
1 month
Tue poster 1, we will be presenting "registration beyond points". See us at poster #350🌴
@_ayoungk
Ayoung
4 months
πŸŽ‰ Our paper "Registration beyond Points" was selected as a highlight at #ICCV2025! Kudos to the amazing team @joomeok98, Hyeonjae Gil, Junwoo Jang, and @GhaffariMaani Read thread to learn more πŸ‘‡ Paper: https://t.co/g30tcsvO1H Code:
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@ieee_ras_crv
IEEE RAS TC for Computer & Robot Vision
3 months
πŸ“˜ The SLAM Handbook is here! From Localization & Mapping to Spatial Intelligence A must-read for anyone in computer vision & robotics β€” packed with both classical and modern SLAM algorithms. πŸ”— https://t.co/ILJey7bcJf #SLAM #Robotics #ComputerVision
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@fdellaert
Frank Dellaert
3 months
We have completed editing the SLAM Handbook "From Localization and Mapping to Spatial Intelligence" and released it. The 3-part handbook will be published by Cambridge University Press. Enjoy reading online for now!
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@IROS2025
IROS 2025
3 months
#IROS2025 IROS 2025 EXPO ✨ 🌟Awards: A Best Demo Award will recognize the most creative and impactful presentations. How to Submit: Submit your proposal via PaperPlaza β†’ https://t.co/0yTje7WN4a
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@_ayoungk
Ayoung
3 months
We also release some LaTeX sty and bib files used in the handbook. If you are writing an ICRA paper on SLAM, these should be useful. Visit our GitHub repo for details: https://t.co/HWffjGuz7B
Tweet card summary image
github.com
Release repo for our SLAM Handbook. Contribute to SLAM-Handbook-contributors/slam-handbook-public-release development by creating an account on GitHub.
@lucacarlone1
Luca Carlone
3 months
We have completed the SLAM Handbook "From Localization and Mapping to Spatial Intelligence" and released it online: https://t.co/AnKa398nyw . The handbook will be published by Cambridge University Press. [1/n]
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@fdellaert
Frank Dellaert
4 months
DINOv3 looks *amazing* ! Self-supervised training FTW.
@maxseitzer
Max Seitzer
4 months
Introducing DINOv3 πŸ¦•πŸ¦•πŸ¦• A SotA-enabling vision foundation model, trained with pure self-supervised learning (SSL) at scale. High quality dense features, combining unprecedented semantic and geometric scene understanding. Three reasons why this matters…
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@_ayoungk
Ayoung
4 months
Glad to share our paper at CoRL! ImLPR presents how to use VFM for lidar PR. tl;dr Choose 3 channel wisely from RIV Kudos to our amazing Oxford-SNU team! Minwoo Jung, Frank Fu and @MauriceFallon https://t.co/hagQpbwmTv
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@kwangmoo_yi
Kwang Moo Yi
4 months
Paper of today: Kim et al., "ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors" Create virtual trajectories that would improve novel view renderings, and use a specialized video model to help fill the gap.
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@corl_conf
Conference on Robot Learning
4 months
⚠️ Due to an overwhelming number of requests, #CoRL2025 registration is temporarily closed. One presenter per accepted paper will be guaranteed registration, and registration will reopen at a later date.
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@MauriceFallon
Maurice Fallon
4 months
🚨 HIRING: New Post-Doc Position at @oxfordrobots! I have a new collaborative project working with @DrStephenMellon to further develop our vision-based ultrasound reconstruction system - called ScanLite. Deadline: 8 Sept 2025 Apply here: https://t.co/68w2vrR2jG
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@_ayoungk
Ayoung
4 months
Did ICRA26 go back to 8p format, discarding 6+n? https://t.co/GJ35bPMCnW @ieee_ras_icra
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@fdellaert
Frank Dellaert
4 months
Very cool indoor localization startup story
@AndrewHartAR
Andrew Hart
4 months
Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This
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