Fuxin Li @fuxinli2
Associate Professor in AI, Deep Learning and Computer Vision, Oregon State University web.engr.oregonstate.edu/~lif/ Joined April 2021-
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Every time I attend an NSF panel, it reminds me how great its panel reviewing process is, and how sad it is that the amount of funding NSF has is so little and a lot of the great proposals cannot be funded.
Welcome to attend our 2D Floorplan reconstruction and 3D Building model reconstruction challenges! These challenges are unique in that they ask for the high endpoint accuracies required in realistic civil engineering applications.
Welcome to attend our 2D Floorplan reconstruction and 3D Building model reconstruction challenges! These challenges are unique in that they ask for the high endpoint accuracies required in realistic civil engineering applications.
Don't forget to submit your short paper at the "4th Workshop and Challenge on Computer Vision in the Built Environment" -- a few more days left! 📅 Deadline is April 1st More details: cv4aec.github.io/#papers #cv4aec #CVPR2024
Don't forget to submit your short paper at the "4th Workshop and Challenge on Computer Vision in the Built Environment" -- a few more days left! 📅 Deadline is April 1st More details: cv4aec.github.io/#papers #cv4aec #CVPR2024
Our ICRA work that proposed an object-oriented memory for planning tasks. Unsupervised video object segmentation was used to discover objects on the fly in videos and keep track of them through occlusion.
Our ICRA work that proposed an object-oriented memory for planning tasks. Unsupervised video object segmentation was used to discover objects on the fly in videos and keep track of them through occlusion.
For the point completion task, it is difficult to get real structural diversity in the completions while preserving the partial input well. Our NeuRIPS poster presents a solution to that with a GAN-based framework. Come check it out now at poster #213! arxiv.org/pdf/2311.11184
Congratulations Mazen! Amazing achievement!
Consider joining the AI graduate program at Oregon State University. Work with great people and record-setting robots in a great college town! youtu.be/R6kVK3WufDs?si… via @YouTube
Think that point-based networks are still slower than sparseconvs? Check out PointConvFormer which combined convolution and transformers for a new backbone that’s better+faster! Come to our poster at PM #114 to check out! Code is available: tinyurl.com/PConvFormer #CVPR2023
Want to find those super far away cars which are butchered by too much downsampling? Check out end-to-end adaptive downsampling! Even with 32x stride we kept enough information to segment small objects! Check us out this morning at poster 167! #CVPR2023 tinyurl.com/mr9pj62j
This is happening now! Join us at East 7 room or online! 📣 ‘3rd Workshop and Challenge on Computer Vision in the Built Environment’
This is happening now! Join us at East 7 room or online! 📣 ‘3rd Workshop and Challenge on Computer Vision in the Built Environment’ https://t.co/j0XWnPEVyt
👉Join us on June 18th for the ‘3rd Workshop and Challenge on Computer Vision in the Built Environment’ @CVPR2023!👈 Engage with exceptional AEC-CS speakers as we delve into trends, challenges, and next steps. Attend at East 7 or online for insightful discussions on #CV4AEC.
👉Join us on June 18th for the ‘3rd Workshop and Challenge on Computer Vision in the Built Environment’ @CVPR2023!👈 Engage with exceptional AEC-CS speakers as we delve into trends, challenges, and next steps. Attend at East 7 or online for insightful discussions on #CV4AEC.
#CVPR2023 Want to zoom in and segment tiny tiny people in the background without doubling input resolution? Say goodbye to grid-like strided convolutions, and instead use hierarchical, adaptive downsampling from AutoFocusFormer (AFF)! github.com/apple/ml-autof…
Please consider joining the workshop and submitting to the challenge! Our unique challenge brings in perspectives of both CV researchers and AEC researchers, the evaluation metrics are designed considering real-world engineering needs. And we have more 3D annotations this year!
Please consider joining the workshop and submitting to the challenge! Our unique challenge brings in perspectives of both CV researchers and AEC researchers, the evaluation metrics are designed considering real-world engineering needs. And we have more 3D annotations this year!
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation abs: arxiv.org/abs/2208.01159 outperforms sota on YoutubeVOS 2019 (85.0%), Youtube-VOS 2018 (85.3%), DAVIS 2017Val/Testdev (86.2%/82.2%), and DAVIS 2016 (92.5%)
Please check out our work on generating high-resolution counterfactual explanations on classifiers by manipulating in a pretrained VAE/GAN latent space. It will be presented in the CVPR poster session tomorrow afternoon!
Please check out our work on generating high-resolution counterfactual explanations on classifiers by manipulating in a pretrained VAE/GAN latent space. It will be presented in the CVPR poster session tomorrow afternoon!
Kostas Daniilidis @KostasPenn
4K Followers 1K Following Ruth Yalom Stone Professor @Penn @PennEngineers @PennCIS @GRASPlabCihang Xie @cihangxie
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12K Followers 371 Following Awesome Vision Group of Andreas Geiger at the University of Tübingen. We are excited about Computer Vision, Machine Learning and Robotics.Xavier Puig @xavierpuigf
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3K Followers 1K Following Assistant Prof @CSatUSC leading the GLAMOR lab https://t.co/VQhcMiC8hE (he/him; 💖💜💙)Yunzhu Li @YunzhuLiYZ
4K Followers 451 Following Assistant Professor of Computer Science @ UIUC @UofIllinois @IllinoisCS, Postdoc from @Stanford @StanfordSVL, PhD from @MIT_CSAIL. #Vision #Robotics #LearningYasutaka Furukawa @YasutakaFuruka1
2K Followers 138 Following Principal Scientist at Wayve. Associate Professor at Simon Fraser University. 3D Vision. (Eiko-high, U-Tokyo, UIUC, ILM, ENS, UW, Google, WUSTL, SFU/Wayve)Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. SustainabilityHao Su @haosu_twitr
4K Followers 351 Following Associate Professor @UCSanDiego. Computer Vision, Graphics, Embodied AI, Robotics. Co-Founder of Hillbot Inc.Shuang Li @ShuangL13799063
5K Followers 755 Following Incoming Assistant Professor at the University of Toronto and Vector Institute. Generative AI (Vision/Language), Embodied AI, Robotics.Mark Hommond @hommond63048
287 Followers 4K Following Vice Admiral Mark David Hammond, AO is a senior officer in the Royal Australian Navy, serving as the Chief of Navy since July 2022. He joined the RANXin Eric Wang @xwang_lk
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267 Followers 2K FollowingHuck Bennett @huckbennett
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703 Followers 1K Following CPAL is a new annual research conference focused on the parsimonious, low dimensional structures that prevail in ML, signal processing, optimization, and beyondDuc Anh (Aengus) N. @aengusng8
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747 Followers 5K Following Data Scientist | PhD Student | Ex Ast. Prof. of CS | xAI ResearcherBoyang "Albert" Li @AlbertBoyangLi
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133 Followers 414 Following Senior Lecturer (Associate professor), Vice-Chancellor's Research Fellow, RMIT University, MelbourneMasoud @ex3pl
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310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxYisong Yue @yisongyue
19K Followers 3K Following Machine Learning @Caltech (@YueLabCaltech). AI for invention at @AsariAILabs. Autonomous Driving at https://t.co/riZHAmvcAr. Senior Program Chair @iclr_conf.Michael Black @Michael_J_Black
59K Followers 643 Following Director, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.Angjoo Kanazawa @akanazawa
14K Followers 627 Following Assist. Professor at @Berkeley_EECS, @berkeley_ai. KAIR, @nerfstudioteam, advising @WonderDynamics and @LumaLabsAI. she/her.Kostas Daniilidis @KostasPenn
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2K Followers 733 Following Assistant Professor, @UCSC_BSOE; PhD, @JHUCompSci; @Facebook Fellowship Recipient; 🐱European Conference o.. @eccvconf
15K Followers 117 Following Official Account for the European Conference on Computer Vision (ECCV) #ECCV2024 🇮🇹 Hosted by @CSProfKGD @abby621 @jbhuang0604Yi Ma @YiMaTweets
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43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeVAutonomous Vision Gro.. @AutoVisionGroup
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14K Followers 324 Following Senior Director (FAIR @MetaAI). Professor (@GeorgiaTech). Co-founded CaliperAI. Researcher in AI. @CarnegieMellon alum.Judy Hoffman @judyfhoffman
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266 Followers 424 Following Computer vision researcher. PhD student at University of Oxford @OxfordTVG and Meta @AIatMetaChris Paxton @chris_j_paxton
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229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.Chaowei Xiao @ChaoweiX
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13K Followers 296 Following Assistant Professor @ MIT, leading the Scene Representation Group (https://t.co/h5gvhLYrtw). Neural scene reps., neural rendering, inverse graphics.Boyang "Albert" Li @AlbertBoyangLi
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990 Followers 178 Following Associate Professor @ECEILLINOIS @IllinoisCS, working on Computer Vision and Machine LearningZsolt Kira @zsoltkira
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46K Followers 2K FollowingKaichun Mo @KaichunMo
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6K Followers 2K Following Research Scientist @Google | author of DreamBooth | Personalization of Generative Models (HyperDreamBooth, StyleDrop, RealFill, ZipLora, Platypus, DreamBooth3D)Richard Zhang @rzhang88
6K Followers 280 Following Sr Research Scientist @AdobeResearch PhD @berkeley_ai, BS/MEng @cornellece MIT TR35 🤖 Computer vision, deep learning, graphics... "AI"... "GenAI"...Alan Fern @AlanPaulFern1
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693 Followers 84 Following postdoc at Computational Imaging Lab in StanfordSong Han @songhan_mit
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745 Followers 338 Following PostDoc @ETH - Visiting Researcher @Google - Fellow @ETH_AI_CenterDelip Rao e/σ @deliprao
46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈Fei-Yue Wang @FeiYueWang2
616 Followers 501 Following Editor-in-Chief, IEEE Transactions on Intelligent Vehicles, Co-Sponored by IEEE ITSS, VTS, RAS, and CSSPpl ask: Why not simply add gradient to the backward sampling process of a diffusion model? Big NO! 🚩Naive gradient don't work as guidance!🚩 Naive gradient jeopardizes the data manifold learnt from pre-training. We show in theory and experiment that it take samples far away…
🚀Next step in 3D scene understanding beyond objects and parts, we now explore interactive elements and functionalities👇 Check out our @CVPR challenge and win2️⃣RTX4090🏅 (sponsored by @Matterport🙏) 🛠️Details: opensun3d.github.io/cvpr24-challen… 📄Paper: scenefun3d.github.io #CVPR2024
🥳 news regarding two undergraduate student researchers in my group: - Danny Casey-Hain will pursue his ChemE PhD at UIUC - Grant McConachie (at BU) was awarded the NSF GRFP !
Check out our paper on #RNA structure fixing for #MLCB2024 and part of PMLR proceedings.mlr.press/v240/ Fun conference and venue!
The fantastic Machine Learning in Compbio #MLCB2023 papers are up at proceedings.mlr.press/v240/. Thanks @lawrennd & PMLR! We have talk recordings too at youtube.com/@mlcbconf/.
Excited to present at the 1st Workshop on Urban Scene Modeling at CVPR 2024.
It is my pleasure to announce @ir0armeni the first of six esteemed Keynote speakers for our #USM3D workshop June 17th at @CVPR.
Data fuels the progress in robotics, whether it's sim, real teleoperated, or auto-generated. Our workshop at #RSS2024 will bring together researchers from academia, industry, and startups around the world to share insights🧐 and hot takes 🔥.
Data is the key driving force behind success in robot learning. Our upcoming RSS 2024 workshop "Data Generation for Robotics” will feature exciting speakers, timely debates, and more! Submit by May 20th. sites.google.com/view/data-gene…
Drum roll… this is worth reading cover to cover!😍🤩🎊
📢 The #AIIndex2024 is now live! This year’s report presents new estimates on AI training costs, a thorough analysis of the responsible AI landscape, and a new chapter about AI's impact on medicine and scientific discovery. Read the full report here: stanford.io/49CbsZp
🚨🇨🇦Excited to join Embodied AI leaders @wayve_ai as Principal Scientist. I will work alongside @Jamie_Shotton to build out our Canadian office and look for passionate minds to join us in pushing the frontier of Embodied AI research and development.
My annual question: where to find the CVF member number?
The challenge evaluation server is now online & ready to receive your submissions! There are 2 challenges you can participate, both of which start with point clouds: - 2D Floorplan Reconstruction - 3D Building Model Reconstruction 🌐 Info: cv4aec.github.io/#challenge 📅 End: 01 Jun
📢We are hosting the 4th Workshop on Computer Vision in the Built Environment at #CVPR2024. We have a great line of multi-disciplinary speakers ⬇️ from CS & CEE. cv4aec.github.io Spread the word! 📅Dates Workshop: Jun 18 @ Seattle Short Papers 🆕!: Apr 1 Challenge: May 25
I am delighted to have the opportunity to speak at #ETRA2024 Looking forward to reconnecting with old friends and making new ones! See you all in Glasgow!
We are excited to announce Prof. James M. Rehg @RehgJim from the University of Illinois Urbana-Champaign @UofIllinois as a Keynote Speaker at our upcoming #ETRA2024 conference! 🎉🎉 We are happy to have you onboard at #ETRA2024! etra.acm.org/2024/keynotes.… rehg.org
Alyosha visited UT today (for the total eclipse event) and gave an inspiring talk on the role of data!
Check out a perspective I co-authored with @LuoYiyue for @ScienceMagazine on intelligent textiles. Intelligent fabrics, which can sense and communicate information scalably and unobtrusively, can fundamentally change how people interact with the world. science.org/doi/10.1126/sc…
This reminds me of the hardest period in my first year as an MIT post-doc in 2019. All 7 papers I submitted to CVPR were rejected, including TSM, TDW, Sound of Motion, CLEVRER, and audio-visual navigation. My advice: strive for excellence, and then let time be the judge 😀😀.
our #DUSt3R is not even a spotlight, it's a poster. Even though we had excellent reviews... I don't get it
I'm delighted to share that we received two orals and one spotlight out of our 8 #CVPR2024 acceptances. Congrats to my amazing students @bryanislucky @fionakryan @BikramBoote @ozgurkara99 and the indomitable @sangminlee777. @IllinoisCS @uofigrainger
I find myself repeating the same advice to students again & again. So I finetuned Mistral.APR.01 on the last 4 years of my Slack history. Now it's answering questions for me. I can go biking for a week and nobody notices. I think my students may actually be getting better advice.
I am hiring a post-doc! Goals: develop new methods for robot learning + spatial reasoning + object manipulation; help lead a new MURI project on robots learning to overcome unexpected challenges. My previous post-doc now is now faculty at USC. Please reach out if interested!
TRAM recovers 3D human pose in a global world frame with 60% root trajectory error reduction wrt SotA! Watch the video on our project page yufu-wang.github.io/tram4d/ arxiv: arxiv.org/abs/2403.17346 Thanks to my amazing coauthors: @YufuWang_,@ZiyunClaudeWang, @LingjieLiu1.
So great to see this getting out into the world! More hard work from the tireless Ego4D Consortium, bring you a rich video record of the real world from the points of view that matter.
The full release of Ego-Exo4D is out! 1.3k hours of first and third-person videos + the world's largest source of egocentric body/hand pose estimates and video segmentation masks. Gaze, trajectories, and point clouds in 99% of data. Access below 👇 docs.ego-exo4d-data.org
We found a bug that inflated performance. We withdrew the paper from CVPR and apologize for any confusion and inconvenience caused.
🔥New Paper Accepted at #CVPR2024 🔥 Using both text-to-image and image-to-text generative AI to synthesize multimodal training data. On the task of Multimodal Relation Extraction, our model trained on synthetic images and real text outperforms real data. arxiv.org/abs/2312.03025