Maolin Gao

102 posts

Maolin Gao

Maolin Gao

@GaoMaolin

AI/ML/CV/CG Doctoral Researcher at TUM CVG, Ex-Stanford, Ex-Artisense, Ex-Bosch

Munich, Bavaria Katılım Mayıs 2019
430 Takip Edilen229 Takipçiler
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Maolin Gao
Maolin Gao@GaoMaolin·
🚀 #CVPR2026 paper alert: 🦏 RINO: Rotation-Invariant Non-Rigid Correspondences Our network learns robust SO(3)-invariant features directly from raw 3D geometry. End-to-end, no pre-alignment or handcrafted descriptors! Joint work @tumcvg & @Stanford.
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Hansheng Chen
Hansheng Chen@HanshengCh·
Excited to announce a new track of accelerating Generative AI: pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation github.com/Lakonik/piFlow Distill 20B flow models now using just an L2 loss via imitation learning for SOTA diversity and teacher-aligned quality.
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TUM Computer Vision Group
@tumcvg goes #ICCV2025 in Hawaii! 🛫🌋 We are very proud of our students who will present five papers (+ 1 workshop) during the conference! In particular, check out Back-on-track, which is an award candidate. (Congrats @wrchen530!)
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Haoran Geng
Haoran Geng@HaoranGeng2·
🤖 What if a humanoid robot could make a hamburger from raw ingredients—all the way to your plate? 🔥 Excited to announce ViTacFormer: our new pipeline for next-level dexterous manipulation with active vision + high-resolution touch. 🎯 For the first time ever, we demonstrate ~2.5 minutes of continuous, autonomous control—combining active vision, high-res touch, and high-DoF robot hands SharpaWave — to complete complex, real-world tasks. Code is fully released; check out our: Homepage: roboverseorg.github.io/ViTacFormerPag… Paper link: arxiv.org/abs/2506.15953 Github: github.com/RoboVerseOrg/V…
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Francis Engelmann
Francis Engelmann@FrancisEngelman·
Two more days until #ICCV2025 paper decisions are out🤞If you are working on 3D scene understanding with foundation models and want to present to a thriving community, consider submitting your work to the OpenSUN3D workshop @ICCVConference in Hawaii🌊🏄 ➡️openreview.net/group?id=thecv…
Ayça Takmaz@aycatakmaz

Our workshop OpenSUN3D heads to  @ICCVConference in Hawaii! 🌺 Working on open‑vocabulary 3D scene understanding? Our paper track is now open! Deadlines: ⏰Full papers (in proceedings): July 4 🗓️Extended abstracts and non-archival papers: Sept 1 🔗 opensun3d.github.io

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Yunqi (Richard) Gu
Yunqi (Richard) Gu@richard_yunqigu·
Which multimodal LLM should you be using to edit graphics in Blender? Today, we’re releasing our #CVPR2025 Highlight🌟 work, #BlenderGym 🏋️‍♀️, the first agentic 3D graphics editing benchmark that will tell you exactly how multimodal LLMs compare in their Blender-editing skills. What'd we find? 🧵👇
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Jihyeon Je
Jihyeon Je@JihyeonJe·
Excited to share our #CVPR2025 Highlight work, BlenderGym🏋️‍♂️, on benchmarking multimodal LLMs on graphics editing! Curious how inference compute allocation impacts performance, or how your favorite MLLM stacks up? Check out our paper and benchmark!👇
Yunqi (Richard) Gu@richard_yunqigu

Which multimodal LLM should you be using to edit graphics in Blender? Today, we’re releasing our #CVPR2025 Highlight🌟 work, #BlenderGym 🏋️‍♀️, the first agentic 3D graphics editing benchmark that will tell you exactly how multimodal LLMs compare in their Blender-editing skills. What'd we find? 🧵👇

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Hansheng Chen
Hansheng Chen@HanshengCh·
Excited to share our work: Gaussian Mixture Flow Matching Models (GMFlow) github.com/lakonik/gmflow GMFlow generalizes diffusion models by predicting Gaussian mixture denoising distributions, enabling precise few-step sampling and high-quality generation.
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Ian Huang
Ian Huang@IanHuang3D·
🏡Building realistic 3D scenes just got smarter! Introducing our #CVPR2025 work, 🔥FirePlace, a framework that enables Multimodal LLMs to automatically generate realistic and geometrically valid placements for objects into complex 3D scenes. How does it work?🧵👇
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Elliott / Shangzhe Wu
Elliott / Shangzhe Wu@elliottszwu·
Really excited to put together this @CVPR workshop on "4D Vision: Modeling the Dynamic World" -- one of the most fascinating areas in computer vision today! We've invited incredible researchers who are leading fantastic work at various related fields. 4dvisionworkshop.github.io
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Despoina Paschalidou
Despoina Paschalidou@paschalidoud_1·
Thrilled to see our work accepted to @iclr_conf !! If you're curious about incorporating deformation priors into dynamic reconstruction models, be sure to check out our paper: research.nvidia.com/labs/toronto-a… A fantastic paper for @sara_oblak to kick off her academic publishing journey!
Sara Oblak@sara_oblak

🎉 I’m very excited to announce that our paper “ReMatching Dynamic Reconstruction Flow” has been accepted to ICLR 2025! 🎉

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Yang You
Yang You@q456cvb·
🚀 Excited to announce that our work on enhancing the 3D awareness of Vision Transformers (ViT) is accepted to #ICLR2025! We evaluate ViT models' 3D equivariance and introduce a simple finetuning strategy using 3D correspondences, achieving remarkable improvements in pose estimation, tracking, and semantic transfer even with minimal finetuning. 🔗 Arxiv paper: arxiv.org/abs/2411.19458 💻 Code is now available on github.com/qq456cvb/3DCor…, check it out! 🤗 Try out the demo on Hugging Face: huggingface.co/spaces/qq456cv… 🙏 Grateful to my amazing co-authors Yixin Li, Congyue Deng (@CongyueD), Yue Wang (@yuewang314), Leonidas Guibas for the contributions! #ICLR2025 #3Dvision
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NeurIPS Conference
NeurIPS Conference@NeurIPSConf·
NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly. NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.
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Jiao Sun
Jiao Sun@sunjiao123sun_·
Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference @NeurIPSConf We have ethical reviews for authors, but missed it for invited speakers? 😡
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