Vittorio Ferrari @VittoFerrariCV
Director of Science at https://t.co/eHmRxWPcl6 sites.google.com/view/vittoferr… Zurich Joined June 2020-
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Our EXPRESS-1 AI model enables @synthesiaIO avatars to understand and adjust to the script automatically 💥 This is a big milestone, so tune in tomorrow for a pre-launch chat with @MattNiessner, @jnstrck, @vriparbelli and @alexvoica X Spaces event link: x.com/i/spaces/1ypjk…
AI Avatars have learned to interpret text now. 😬 Our soon-to-be-public EXPRESS-1 AI model enables Synthesia avatars to understand and adjust to the script automatically. 🤯 Join the pre-launch tech chat with: @vriparbelli, @MattNiessner & @jnstrck 👀 x.com/i/spaces/1ypjk…
Introducing HAMMR: hierarchical multimodal agents that handle a broad range of VQA tasks within a single system (counting, spatial reasoning, OCR, visual pointing, external knowledge, and more). arxiv.org/abs/2404.05465 @LluisCastrejon @tejmensink @howardzzh @andrefaraujo @JRRU
Paper accepted to #CVPR2024! Grounding Everything: Emerging Localization Properties in Vision-Language Transformers Paper: arxiv.org/abs/2312.00878 Demo:huggingface.co/spaces/WalidBo… Code: github.com/WalBouss/GEM With @BousselhamWalid, @FHKPetersen, @HildeKuehne
We are running the Vision and Sports Summer school again this year! Prague, July 22-27. We offer a broad-range of lectures on state-of-the-art Computer Vision techniques, as well as exciting sport activities, such as Volleyball, Frisbee and Table Tennis. cmp.felk.cvut.cz/summerschool20…
Happy to share this filmed interview - if you want to join @synthesiaIO, now is the perfect time!
Happy to share this filmed interview - if you want to join @synthesiaIO, now is the perfect time!
Three papers accepted to #NeurIPS 3/3 NAVI: a dataset of image collections of objects, along with high-quality 3D object scans, near-perfect 2D-3D alignments, and accurate camera parameters. arxiv.org/abs/2306.09109 navidataset.github.io With @jampani_varun, @kmaninis, others
Three papers accepted to #NeurIPS 2/3 "Estimating Generic 3D Room Structures from 2D Annotations" 3D room layouts annotations for 2246 videos (part of CAD-Estate dataset). arxiv.org/abs/2306.09077 github.com/google-researc… With @DRozumnyi,@StefanPopovCV, @kmaninis, @MattNiessner
Three papers accepted to #NeurIPS 1/3 StoryBench: a new benchmark for text-to-video generation of stories to guide progress in assistive technology for filmmaking 🧑🎨 arxiv.org/abs/2308.11606 github.com/google/storybe… x.com/ebugliarello/s… With @ebugliarello, @hhm, many others
Three papers accepted to #NeurIPS 1/3 StoryBench: a new benchmark for text-to-video generation of stories to guide progress in assistive technology for filmmaking 🧑🎨 arxiv.org/abs/2308.11606 github.com/google/storybe… x.com/ebugliarello/s… With @ebugliarello, @hhm, many others https://t.co/q1gCLy1UFc
I am happy to share that I have joined Synthesia as Director of Science. Excited to start this new adventure! x.com/synthesiaIO/st…
I am happy to share that I have joined Synthesia as Director of Science. Excited to start this new adventure! x.com/synthesiaIO/st…
Check out CAD-Estate: a large dataset with 3D object and room layout annotations on RGB videos of complex multi-object scenes (101k objects in total!). github.com/google-researc… arxiv.org/abs/2306.09011 arxiv.org/abs/2306.09077 With @StefanPopovCV, @kmaninis, @MattNiessner
Wouldn’t it be cool if AI could help us generate movies?🎬 We built a new benchmark to measure progress in this direction🍿 “StoryBench: A Multifaceted Benchmark for Continuous Story Visualization” 📄 arxiv.org/abs/2308.11606 👩💻 github.com/google/storybe… 📈 paperswithcode.com/dataset/storyb…
We released our new “Encyclopedic VQA” dataset, which contains visual questions about detailed properties of fine-grained categories (1M VQA triplets total!). These pose a hard challenge for large foundation models. arxiv.org/abs/2306.09224 github.com/google-researc…
Four papers accepted to #ICCV2023! 2/4 CAD-Estate: Large-scale CAD Model Annotation in RGB Videos >100k 3D objects annotated on RGB videos of complex scenes Dataset release coming soon! arxiv.org/abs/2306.09011 @StefanPopovCV, @kmaninis, @MattNiessner
Four papers accepted to #ICCV2023! 4/4 Tracking by 3D Model Estimation of Unknown Objects in Videos arxiv.org/abs/2304.06419 With @DRozumnyi, @matas_jiri, Martin R. Oswald, @mapo1
Four papers accepted to #ICCV2023! 3/4 Agile Modeling: From Concept to Classifier in Minutes We empower any user to develop a classifier for a subjective visual concept in under 30 minutes. arxiv.org/abs/2302.12948 With O.Strech, E.Vendrow, and many others
Four papers accepted to #ICCV2023! 1/4 Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories arxiv.org/abs/2306.09224 Dataset release coming soon! With @tejmensink @JRRU @LluisCastrejon @goelarushi27 @eucadar @howardzzh @feishaAI, A.Araujo
Video Localized Narratives update: 👉 30k new videos annotated from the Kinetics dataset 👉 50k videos in total (OVIS, UVO, Oops, Kinetics) google.github.io/video-localize…
Video Localized Narratives (#CVPR2023) Annotators describe the story of a video with their voice while simultaneously hovering their mouse over the region they are describing arxiv.org/abs/2302.11217 google.github.io/video-localize… With P.Voigtlaender, @schangpi, @jponttuset, R.Soricut
Paper accepted to #WACV2023 Multi-View Photometric Stereo Revisited Tl;dr: Multi–view photometric stereo for anisotropic and glossy materials arxiv.org/abs/2210.07670 With B.Kaya, S.Kumar, C.Oliveira, L.V.Gool
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Our work on 3D scene reconstruction from video was accepted to #TPAMI! Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos New version: arxiv.org/abs/2012.04641 Video: youtube.com/watch?v=R1cXg0… With @StefanPopovCV @MattNiessner @kmaninis
PAMI Distinguished Researcher Award @ICCV_2021 awarded to candidates whose research contributions have significantly contributed to the progress of Computer Vision *** Pietro Perona & Cordelia Schmid ***
Check out our new work! Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos Video: youtube.com/watch?v=R1cXg0… Project: kmaninis.com/vid2cad/ Paper: arxiv.org/abs/2012.04641 @StefanPopovCV @MattNiessner @VittoFerrariCV
Tomorrow another great talk for the DVL Lecture Series, @VittoFerrariCV will present exciting recent research on 3D deep learning by his group at Google Research. 5pm CEST! youtube.com/watch?v=Az9y91…
Recorded Session: 10min: Opening talk 45min: Talk by Bernt Schiele 45min: Talk by @kemaloksz 45min: Talk by Ming-Hsuan Yang 70min: Paper Presentations 45min: Talk by @VittoFerrariCV 45min: Talk by @tengyuma Live Sessions (UTC+1): 10-12:00am and 18:00-20:00 [5/5]
Check out @VittoFerrariCV talk @MIT Vision Seminar, where he presented some of his group's recent work on 3D Deep Learning: 1) CoReNet, a model combining implicit functions and voxel representations for 3D scene reconstruction from RGB images 1/N youtube.com/watch?v=EvSy8E…
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