Visual Geometry Group (VGG) @Oxford_VGG
Computer Vision research group @UniofOxford led by Andrew Zisserman, Andrea Vedaldi, João Henriques and Christian Rupprecht. robots.ox.ac.uk/~vgg/ Oxford, England Joined September 2018-
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While waiting for the open source approval, we have upgraded VGGSfM from v1 to v1.1. The new one is much more accurate, particularly with strict thresholds such as AUC@3. Additionally, it's twice faster during inference. @davnov134 @chrirupp @n_karaev
Announcing The Splatter Image demo🤗 It works on *any* object and is *super* fast - around ~2s per object in Gradio! Trained on 2 GPUs in 3.5 days 🚀 huggingface.co/spaces/szymano… See 🧵👇 for more results and updates since the original release! Project: szymanowiczs.github.io/splatter-image
Excited to present our #ICASSP2024 work ‘A Sound Approach: Using LLMs to Generate Audio Descriptions for Egocentric Text-Audio Retrieval’ which introduces egocentric text-audio retrieval benchmarks. Poster: MLSP-P8.8 (Apr 16th, 16:30-18:30) Paper: arxiv.org/abs/2402.19106
🆕📰📢 on @arxiv w code&Models Our @CVPR #CVPR2024 paper TIM: A Time Interval Machine for Audio-Visual Action Recognition arxiv.org/abs/2404.05559 jacobchalk.github.io/TIM-Project TIM uses modality-specific time intervals as queries, to attend to the interval in long audio-visual input.
The submission deadline for the CV4Animals Workshop #CVPR2024 has been extended to 11:59 pm, April 9, 2024 (Pacific Time) Remember to send your favorite animal papers! 🦒🪼🐬🐿️🦩🐢🦘🦜🦥🦋 cv4animals.com @CVPR @ursNwaldmann @gengshanY @annazama
Announcing DragAPart, a model that empowers image diffusion to generate nuanced part-level dynamics. Demo is on 🤗! Joint work with my amazing advisors @ChuanxiaZ, @chrirupp, and A. Vedaldi @Oxford_VGG. 📰 Paper: arxiv.org/abs/2403.15382 🌐 Page: dragapart.github.io 🧵👇
Thanks @_akhaliq for sharing! Happy to work with the amazing team @RayLi234, @chrirupp @ A. Vedaldi @Oxford_VGG. The demo is very cool. Do the physical part-level interaction in vision as in our real world. huggingface.co/spaces/rayli/D…
Thanks @_akhaliq for sharing! Happy to work with the amazing team @RayLi234, @chrirupp @ A. Vedaldi @Oxford_VGG. The demo is very cool. Do the physical part-level interaction in vision as in our real world. huggingface.co/spaces/rayli/D…
We will be presenting Farm3D tomorrow morning @3DVconf. The key takeaway from this work is that we can leverage (solely) the prior captured by a pre-trained image generator for feed-forward dynamic object reconstruction. Project page: farm3d.github.io.
Farm3D reconstructs 3D shapes of animals from a single image without training on any real images 🐄 🐎 🐑 This is achieved using only virtual supervision from a 2D image generator. Come say hi at the Wednesday morning poster session at @3DVconf! 🔗farm3d.github.io
📢 The Manga Whisperer will appear at #CVPR2024 @CVPR 🚀 I really didn't expect 1600+ downloads on 🤗Hugging Face in the last two months. See you all in Seattle! 🫰
Thrilled to announce the 2nd "What is Next in Multimodal Foundation Models" workshop at CVPR! Don't miss the incredible chance to promote your work! 🔗 Website: sites.google.com/view/2nd-mmfm-… Deadlines: 📅 Track with proceedings: March 14 📅 Non-archival (incl. CVPR papers): March 21
Thrilled to announce the 2nd "What is Next in Multimodal Foundation Models" workshop at CVPR! Don't miss the incredible chance to promote your work! 🔗 Website: sites.google.com/view/2nd-mmfm-… Deadlines: 📅 Track with proceedings: March 14 📅 Non-archival (incl. CVPR papers): March 21
Excited to announce the 1st "Learning from Procedural Videos and Language" workshop at CVPR! We are calling for submissions and hope to see you in Seattle! Website: sites.google.com/view/lpvl-cvpr… Submission deadline: March 20.
Excited to announce the 1st "Learning from Procedural Videos and Language" workshop at CVPR! We are calling for submissions and hope to see you in Seattle! Website: sites.google.com/view/lpvl-cvpr… Submission deadline: March 20.
Still suffering from occlusion? Our recent work Amodal Ground Truth and Completion in the Wild (@CVPR) @Oxford_VGG with @ChuanxiaZ @WeidiXie and Andrew Zisserman enables reconstruction of the entire shape of any occluded object to help you solve occlusion intrinsically.
📢 Our #paper "Neural Refinement for Absolute Pose Regression with Feature Synthesis" has been accepted to #CVPR 2024! 🥂 Congratulations to the team - @ShuaiC8, Victor, Xinghui, Jia-Wang, @kejie_li, @ziruiwang_ 🙌 #CVPR2024 #ai #machinelearning #3D #computervision #research
We present GES , a more powerful 3D representation than Gaussian Splatting for novel view synthesis 50% natural reduction in memory ( less splatting components, no quantization) + 39% faster Website+ code: abdullahamdi.com/ges/ Paper: arxiv.org/abs/2402.10128 🧵 thread 1/n
We present GES , a more powerful 3D representation than Gaussian Splatting for novel view synthesis 50% natural reduction in memory ( less splatting components, no quantization) + 39% faster Website+ code: abdullahamdi.com/ges/ Paper: arxiv.org/abs/2402.10128 🧵 thread 1/n https://t.co/VMkIXFTv9O
Meta presents IM-3D Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation paper page: huggingface.co/papers/2402.08… Most text-to-3D generators build upon off-the-shelf text-to-image models trained on billions of images. They use variants of Score…
[1/4] Look, Listen and Recognise : character-aware audio-visual subtitling @ICASSP2024 ✍️Joint work with Bruno Korbar and Andrew Zisserman @Oxford_VGG The subtitles, including character names and transcripts, are generated purely by our method.
📃 The Manga Whisperer: Automatically Generating Transcriptions for Comics ✍️ Ragav Sachdeva, Andrew Zisserman @Oxford_VGG 📕 arXiv: arxiv.org/abs/2401.10224 💻 github: github.com/ragavsachdeva/… 🤗try it yourself: huggingface.co/spaces/ragavsa…
AK @_akhaliq
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I مشاعل ابوش.. @Mabushrara
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Bhavik Chandna @bhavikchandna
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AK @_akhaliq
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Kosta Derpanis @CSProfKGD
48K Followers 198 Following #CS Associate Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, #CVPR2024/#ECCV2024 Publicity Co-chair
Michael Black @Michael_J_Black
58K Followers 641 Following Director, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.
Matthias Niessner @MattNiessner
31K Followers 162 Following Professor for Visual Computing & Artificial Intelligence @TU_Muenchen Co-Founder @synthesiaIO
Dmytro Mishkin 🇺�.. @ducha_aiki
18K Followers 591 Following Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working.
Jia-Bin Huang @jbhuang0604
51K Followers 285 Following Associate Professor @umdcs; Part-time Research Scientist @Meta. I like pixels.
Autonomous Vision Gro.. @AutoVisionGroup
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.
Jürgen Schmidhuber @SchmidhuberAI
106K Followers 0 Following Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.
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186K Followers 877 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.
Elliott / Shangzhe Wu @elliottszwu
5K Followers 767 Following Postdoc @StanfordSVL working on unsupervised 3D perception and inverse rendering, PhD from @Oxford_VGG. Public office hours: https://t.co/iSSemSi1NQ
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7K Followers 1K Following research on computer vision, teaching, and movies. asst. prof. @KuisAICenter @kocuniversity tweets in TR, EN
Angjoo Kanazawa @akanazawa
14K Followers 627 Following Assist. Professor at @Berkeley_EECS, @berkeley_ai. KAIR, @nerfstudioteam, advising @WonderDynamics and @LumaLabsAI. she/her.
Dima Damen @dimadamen
8K Followers 644 Following Professor of Computer Vision, University of Bristol - passionate about the temporal stream in our lives.
Andrea Tagliasacchi �.. @taiyasaki
12K Followers 165 Following Associate Professor @ SFU (Research Chair), Research Scientist @ Google DeepMind, Associate Professor (status only) @ UofT. Opinions are my own.
Laura Leal-Taixe @lealtaixe
10K Followers 118 Following Senior Research Manager at @NVIDIA. Prev Professor at @TU_Muenchen. Computer Vision mostly. Views are my own.
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Frank Dellaert @fdellaert
11K Followers 1K Following CTO at Verdant Robotics, Robotics & Computer Vision Professor at Georgia Tech (on leave). Before: sabbatical at KUL, stints at Skydio, Facebook B*8, Google AI.
Chuanxia Zheng @ChuanxiaZ
208 Followers 291 Following Marie Skłodowska-Curie Actions (MSCA) Fellow @MSCActions | Postdoctoral researcher @Oxford_VGG working on Generative AI
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208 Followers 136 Following researcher of deep learning @VGG, 1706.03762 ❤️
Yannis Kalantidis (@s.. @skamalas
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Abdullah Hamdi @Eng_Hemdi
9K Followers 2K Following postdoc @Oxford_VGG 🇬🇧 | 3D Gen AI | PhD alum @KaustVision 🇸🇦@TU_Muenchen 🇩🇪 | @fihmai founder | my @tedX talk about AI inequality: https://t.co/Y24DtOsASJ
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2K Followers 644 Following Prof. @NotreDame. IEEE @ComputerSociety PAMI TC Chair. Computer Vision Foundation CTO. Artificial Intelligence + Digital Humanities + History of Technology.
gyungin @gyunginshin
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11 Followers 73 Following @Oxford_VGG & @aims_oxford DPhil student at Oxford University
Prasanna Sridhar @Img_Prasanna
83 Followers 206 Following Have you tried turning it off and on again?
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481 Followers 375 Following PhD student in 3D Computer Vision @AIatMeta / @Oxford_VGG | X17 @Polytechnique | https://t.co/9pRirsmqff https://t.co/U668erUjkd
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Andreea Oncescu @oncescu_andreea
14 Followers 106 Following Final year PhD student, Visual Geometry Group, University of Oxford
Stan Szymanowicz @StanSzymanowicz
380 Followers 182 Following PhD student @Oxford_VGG | Ex-intern @Microsoft Mixed Reality Labs | MEng @Cambridge_Uni https://t.co/Wn74WgvM2m https://t.co/1v3qafo2Sc
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5K Followers 209 Following GenAI@Meta | MIT TR's 35 under 35 | Emu Video, ImageBind, DINO, BarlowTwins
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179 Followers 175 Following Computer Vision with @Oxford_VGG (previously Microscopy with @MicronOxford), Software Freedom, @GnuOctave developer, Scouting @Escoteiros_PT
Tim Franzmeyer @frtimlive
189 Followers 288 Following Machine learning PhD student @UniofOxford interested in reinforcement learning, multi-agent systems and LLMs.
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370K Followers 2 Following towards a plurality of humanity loving AGIs @openai
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160 Followers 387 Following Exploring AI fact-checking @filtir_ | Software Engineer & Researcher | Former Research Asst. @Oxford_VGG
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3K Followers 10 Following I am a Professor of Computer Science at EPFL in Switzerland. My main research interests are in Computer Vision, Machine Learning, and Biomedical imaging.
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312 Followers 795 Following Postdoc @Oxford_VGG. PhD at the Max Planck Institute for Informatics. Opinions are my own.
Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4
📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5
@saramagliacane @AmlabUva @UvA_Amsterdam @MITIBMLab Dr. João Henriques is a Research Fellow at @RAEngNews, and a lead PI at the @Oxford_VGG-@UniofOxford. His research focuses on computer vision and deep learning, with the goal of making machines more perceptive, intelligent and capable of helping people. 🧵3/4
This work was done at @Oxford_VGG with Joao F. Henriques, Andrew Zisserman, @SamuelAlbanie, and A. Sophia Koepke
Excited to present our #ICASSP2024 work ‘A Sound Approach: Using LLMs to Generate Audio Descriptions for Egocentric Text-Audio Retrieval’ which introduces egocentric text-audio retrieval benchmarks. Poster: MLSP-P8.8 (Apr 16th, 16:30-18:30) Paper: arxiv.org/abs/2402.19106
🆕📰📢 on @arxiv w code&Models Our @CVPR #CVPR2024 paper TIM: A Time Interval Machine for Audio-Visual Action Recognition arxiv.org/abs/2404.05559 jacobchalk.github.io/TIM-Project TIM uses modality-specific time intervals as queries, to attend to the interval in long audio-visual input.
Still a week before the submission deadline! Last chance to get your cats featured in the workshop!
The submission deadline for the CV4Animals Workshop #CVPR2024 has been extended to 11:59 pm, April 9, 2024 (Pacific Time) Remember to send your favorite animal papers! 🦒🪼🐬🐿️🦩🐢🦘🦜🦥🦋 cv4animals.com @CVPR @ursNwaldmann @gengshanY @annazama
The submission deadline for the CV4Animals Workshop #CVPR2024 has been extended to 11:59 pm, April 9, 2024 (Pacific Time) Remember to send your favorite animal papers! 🦒🪼🐬🐿️🦩🐢🦘🦜🦥🦋 cv4animals.com @CVPR @ursNwaldmann @gengshanY @annazama
Announcing DragAPart, a model that empowers image diffusion to generate nuanced part-level dynamics. Demo is on 🤗! Joint work with my amazing advisors @ChuanxiaZ, @chrirupp, and A. Vedaldi @Oxford_VGG. 📰 Paper: arxiv.org/abs/2403.15382 🌐 Page: dragapart.github.io 🧵👇
Thanks @_akhaliq for sharing! Happy to work with the amazing team @RayLi234, @chrirupp @ A. Vedaldi @Oxford_VGG. The demo is very cool. Do the physical part-level interaction in vision as in our real world. huggingface.co/spaces/rayli/D…
DragAPart Learning a Part-Level Motion Prior for Articulated Objects We introduce DragAPart, a method that, given an image and a set of drags as input, can generate a new image of the same object in a new state, compatible with the action of the drags. Differently from
DragAPart Learning a Part-Level Motion Prior for Articulated Objects We introduce DragAPart, a method that, given an image and a set of drags as input, can generate a new image of the same object in a new state, compatible with the action of the drags. Differently from
Greatly looking forward to demoing Envisioning Dante project and teaching @Oxford_VGG computer vision methods with @mancitalian in the first #RenSA24 session Friday am - rsa.confex.com/rsa/2024/meeti… #RSA2024
We will be presenting Farm3D tomorrow morning @3DVconf. The key takeaway from this work is that we can leverage (solely) the prior captured by a pre-trained image generator for feed-forward dynamic object reconstruction. Project page: farm3d.github.io.
3DV Keynote: **Towards a 3D Foundation** Andrea Vedaldi (University of Oxford) 🗓️12:00 - 1:00 PM CET Tuesday, Mar 19, 2024 📺Follow the keynote live on youtube.com/@3DV2024
Fantastic Keynote talk by Andrea Vedaldi. Live right now at #3DV2024 Davos: youtube.com/watch?v=Ctog9w…
3DV Keynote: **Towards a 3D Foundation** Andrea Vedaldi (University of Oxford) 🗓️12:00 - 1:00 PM CET Tuesday, Mar 19, 2024 📺Follow the keynote live on youtube.com/@3DV2024
Farm3D reconstructs 3D shapes of animals from a single image without training on any real images 🐄 🐎 🐑 This is achieved using only virtual supervision from a 2D image generator. Come say hi at the Wednesday morning poster session at @3DVconf! 🔗farm3d.github.io
Day 2. Starting with @chrirupp from @Oxford_VGG. From Lucas-Kanade to epipolar geometry to tracking to open vocabulary segmentation to leveraging generative augmentations. A whirlwind of fundamentals and state-of-the-art! 👏
Join us for the Workshop on Compositional 3D Vision (C3DV) #CVPR2024 @CVPR 🏆 Challenges: bit.ly/4a2b7A5 📢 Call for Papers: bit.ly/4bYALHE C3DV will host two challenges this year, and an amazing set of speakers! 🧵👇
A small personal update: - Excited to join Google DeepMind 🚀 - Grateful for the wonderful humans I've had the pleasure of working with on my journey so far at @Cambridge_Eng and @Oxford_VGG ❤️
I am super thrilled to be awarded a Marie Skłodowska-Curie Actions (#MSCA ) Postdoctoral Fellowship to continue my research at @Oxford_VGG @UniofOxford with Andrea and other researchers! Great thanks to @MSCActions !!!
The results of #MSCA Postdoctoral Fellowships 2023 are out! Congratulations to the 1,249 successful researchers! 👏👏👏 €260 million will allow them to pursue groundbreaking research and work alongside the best scientists in 🇪🇺 and beyond. More ➡️ europa.eu/!BrBhng
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