Juil Koo @juilkoo
PhD student @ KAIST CS | Prior Research Intern @Adobe | SDE, 3D Geometry, Vision-Language 63days.github.io Daejeon, Republic of Korea Joined June 2022-
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Last week, I was grateful to give a talk at Stanford on our recent work, Drifting Field Policy (DFP). Diffusion policies are powerful, but not necessarily the best fit for RL. DFP is our one-step alternative. Slides: 63days.github.io/assets/slides/… Project: driftingpolicy.github.io
⏰ 3 days left! 𝗠𝗨𝗦𝗜 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 @CVPR 2026 🗓️ Submission Deadline: March 13, 2026 (AoE) Welcome both new work and previously accepted papers. 🙌 📝 Submit now! → musi-workshop.github.io #CVPR2026 #MUSI
Huge thanks to our amazing organizers! 👏@yuseungleee @songyoupeng @mikacuy @FidlerSanja @GuibasLeonidas @MinhyukSung
📢 MUSI Workshop @CVPR 2026 — Call for Papers! 🚀 2nd Workshop on Multimodal Spatial Intelligence (MUSI): spatial reasoning 🧠, 3D/world modeling 🌏, embodied AI🤖 & more ✨. 📝 Submit your work & join us! 🙌 🔗 Website: musi-workshop.github.io #CVPR2026 #MUSI
[6/6] 🌐 Project: active-view-selection.github.io 📄 arXiv: arxiv.org/abs/2512.13250 💻 Code: github.com/KAIST-Visual-A… 🫂 @juilkoo*, @choi_daedae*, @sang_w0_0*, @yuseungleee, @MinhyukSung (*Equal Contribution)
Introducing "Toward Ambulatory Vision: Learning Visually-Grounded Active View Selection" 🤖 VLMs answer well—but only if the evidence is already visible. How can we bring this capability to real agent scenarios, where the current view is insufficient to answer directly?
[5/6] 📊 Results: strong VQA gains on unseen synthetic + real 3D scenes, even outperforming proprietary models (GPT-5, Gemini-2.5 Pro). AVS also plugs into existing EQA pipelines as a “final viewpoint refinement” step.
[4/6] ⚒️ Method: predict continuous viewpoint-adjustment actions (rotation + translation) from the current egocentric image + question, targeting the next most informative viewpoint in a single turn. (SFT → GRPO)
[3/6] 🚀 We introduce Active View Selection (AVS): bringing “active perception” to VLMs. Instead of reasoning from a single static image, the model first moves to acquire a more informative view, and then answers.
[2/6] 👀 Example: “What’s written on the side of the cup?” As humans we naturally change our viewpoint first—then answer.
🌴Happy to attend #ICCV2025 in Hawaii! I’ll be presenting our paper on enabling VLMs to perform spatial reasoning from arbitrary perspectives. 📔 Paper: arxiv.org/abs/2504.17207 🖥️ Project Page: apc-vlm.github.io ✔️ Poster: Oct 21 (Tue) Session 2 & Exhibit Hall, #858
@oceanicsublime @OPatashnik @DanielCohenOr1 @MinhyukSung unfortunately, I don't think we have a recording 😢
Great summary of the latest image & video diffusion models! Our #SIGGRAPH2025 course spans real-world uses to techniques like acceleration & flow matching. Slides: geometry.cs.ucl.ac.uk/courses/diffus… w/ Niloy Mitra, @OPatashnik, @DanielCohenOr1 , Paul Guerrero, @MinhyukSung
❗️Vision-Language Models (VLMs) struggle with even basic perspective changes! ✏️ In our new preprint, we aim to extend the spatial reasoning capabilities of VLMs to ⭐️arbitrary⭐️ perspectives. 📄Paper: arxiv.org/abs/2504.17207 🔗Project: apc-vlm.github.io 🧵[1/N]
🎉 Join us tomorrow at the #ICLR2025 poster session to learn about our work, "StochSync," extending pretrained diffusion models to generate images in arbitrary spaces! 📌: Hall 3 + Hall 2B #103 📅: Apr. 25. 10AM-12:30PM [1/8]
Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation
🔥 Grounding 3D Orientation in Text-to-Image 🔥 🎯 We present ORIGEN — the first zero-shot method for accurate 3D orientation grounding in text-to-image generation! 📄 Paper: arxiv.org/abs/2503.22194 🌐 Project: origen2025.github.io
🔎 Unconditional priors matter! When fine-tuning diffusion models for conditional tasks, the **unconditional** distribution often breaks down. 🔑 We propose a simple fix: simply mix the predicted noise from the **fine-tuned** model and its **base** model!
Algis B @algis_b
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ICK @ick_jeong
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Jorge Bravo Abad @bravo_abad
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Robert Scoble @Scobleizer
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Naruto @AnidiptaP
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invi-bhagyesh 🏴... @invi_bhagyesh
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#SirDaniel @danielajisafe
1K Followers 2K Following All Jesus ! |Research Assistant| 3D Vision @VisualAI4Humans | |Ex @KPMG_NG|T.A @DataScienceNIG|Co-Founder @lautechdatasci|Eph 2:10| - Open for internships
Min-Hung (Steve) Chen @CMHungSteven
3K Followers 2K Following Staff Research Scientist, NVR TW @NVIDIAAI @NVIDIA (Project Lead: DoRA, EoRA, 4D-RGPT) | Ph.D. @GeorgiaTech | Multimodal AI | https://t.co/dKaEzVoTfZ
Abrar Fiaz @wrarba
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Dr. Dave Podorefsky @davidpodorefsky
400 Followers 3K Following Scientist | R&D | Drug Discovery | Genomics | Computational Biology | Musician & Songwriter | Chemical Engineering | Hopkinton, MA → @UMassChemEng → @UCSBChE
Ayhan Suleymanzade @ayhozade
173 Followers 472 Following Incoming PhD at EPFL; Visiting Researcher at AITHYRA; prev CS at KAIST; LLM/continuous/flow reasoning; geometric deep learning
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Sangwoo Youn @sang_w0_0
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Congcong Liu @CongcongLiu6
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Niladri Dutt @niladridutt
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World Labs @theworldlabs
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Sohyeon Kim @ ICML @ohmyksh
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Ben Poole @poolio
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Haneul Yoo @ ICML 202... @HaneulYoo13
953 Followers 325 Following Incoming faculty fellow @NYU_Courant working on #NLProc #LLMs | PhD @kaistpr
Algis B @algis_b
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Yong-Hyun Park @hagsaeng_bag
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Dongyang Li @Dyang_li
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Soham Sankaran @sohamsankaran
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Derin Gezgin @dderingezgin
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Young D. Kwon ✈️ ... @YoungDKwon1
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Travis Davies 🇦�... @travisddavies
53 Followers 531 Following Algorithm Engineer @ _______ Robotics in China. Vision, world models, VLAs and generally robot policies. Proud citizen of the Asia Pacific
Seb_Biochem @neural_chemist
407 Followers 4K Following Biochemist interested in Neurobiology advocating for a more inclusive world. Proud of being #Refugee #FirstGen #🏳️🌈 #Latino
Max C. (Minsu) @Official_m9g
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ICK @ick_jeong
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Martin Ziqiao Ma @ziqiao_ma
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Kwang Moo Yi @kwangmoo_yi
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Joel Jang @jang_yoel
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a16z @a16z
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TBPN @tbpn
902K Followers 965 Following Technology's daily show. Hosted by @johncoogan & @jordihays. Streaming live 11a-2p PT every weekday. Sign up for our free daily newsletter at https://t.co/Nhf5ohjInO.
Sebastian Raschka @rasbt
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