Fernando De la Torre @FerranDeLaTorre
Researcher in Computer Vision and Machine Learning @ Carnegie Mellon University. Traveler at heart. Occasional Entrepreneur/Investor. cs.cmu.edu/~ftorre Pittsburgh Joined February 2021-
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Our keynote speaker Fernando De La Torre (@FerranDeLaTorre) highlights that “70% of the time in machine learning research is devoted to data” #DLBCN2023
Intrigued by witnessing the most recent breakthroughs in NeRF technology for the Metaverse? A lot of interest from the community! It's not too late, come and join us at our workshop East Ballroom B @CVPR-2023.
Here are a few insights on the influence of AI and computer vision in the near future.
Here are a few insights on the influence of AI and computer vision in the near future.
Exciting news: I'm co-organizing a NeRF workshop at CVPR2023 this year. We've got great speakers lined up👇, come learn about NeRF, DreamFusion, and maybe some other surprises. And consider submitting a paper! lnkd.in/gA6M2-U6 @akanazawa @FerranDeLaTorre @daeil @aayush382
Our work 𝗗𝗲𝗻𝘀𝗲𝗣𝗼𝘀𝗲 𝗳𝗿𝗼𝗺 𝗪𝗶𝗳𝗶 is a first attempt to track fine-grained human activity using widely available and affordable WiFi signals. This paves the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing.
Our work 𝗗𝗲𝗻𝘀𝗲𝗣𝗼𝘀𝗲 𝗳𝗿𝗼𝗺 𝗪𝗶𝗳𝗶 is a first attempt to track fine-grained human activity using widely available and affordable WiFi signals. This paves the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing.
El análisis de @perezreverte sobre el sistema educativo #ReverteEH
new fan-made NeurIPS 2022 trailer:
Espeluznante documental sobre el abuso de poder de hacienda. Puede llegar a arruinar la vida de una persona de manera arbitraria y desproporcionada. La separación de poderes, una utopía. Pocas plataformas o periódicos se atreverán a publicarlo. idealista.com/news/fiscalida…
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Thrilled to have had Simon Lucey talk on "Learning with Less"! He delved into neural priors & their role in #AI, addressing data scarcity & bias. Missed it? Catch up here: ri.cmu.edu/event/learning…
[1/2] We’ve released the code for #pix2pixturbo and #CycleGANTurbo. These conditional GANs are able to adapt a text-to-image model such as SD-Turbo for both paired and unpaired image translation with a single step (0.11 sec on A100 and 0.29 sec on A6000). Try our code and the…
Meta has always tried to do the Right Thing. Meta has always practiced open research in AI. Meta has been promoting open source AI platforms. After numerous discussions over the last year (sometimes contentious) a consensus is emerging that open source AI platforms are…
@ylecun @wef @AndrewYNg @DaphneKoller @aidangomez My respect for Meta went a lot higher especially after watching live @ylecun in Davos at this panel chaired by Max Tegmark and fabulous panelists including Stuart Russel
@GaryMarcus So it's all about money. Not for the journalists who actually wrote the articles of course. And people worry about the morality or lack thereof of AI.
Get ready for the holiday season with SMPL Santa by SMPLitex! 🎅 You can now easily browse the dataset here dancasas.github.io/projects/SMPLi… or download the generative model and create your own human textures from text prompts. Enjoy!
"Virtual reality will find a physical home in the @CMU_Robotics Innovation Center at @HazelwoodGreen, a @CarnegieMellon project set for completion in 2025." The new interdisciplinary Extended Reality Technology Center will be led by @da_lind @kkitani @FerranDeLaTorre. #XR #VR #AR
CMU adds extended reality center with PNC, Fujitsu backing post-gazette.com/business/tech-…
Our second data collection effort with 14 universities and Meta. Ego-exo4D has both egocentric video and static cameras to capture expert human motion data. Check it out!
1️⃣ Ego-Exo4D A new foundational dataset + benchmark suite to support research on video learning & multimodal perception, co-developed with 14 university partners. Details ➡️ bit.ly/47Wk8cF Core to the work is videos of skilled human activities, simultaneously capturing…
We are starting a new research center focused on the topic of Extended Reality Technology! I'll co-directing the center with @FerranDeLaTorre (Robotics Institute) and David Lindlbauer (HCII). cmu.edu/xrtc/index.html
This was a great story about me on the @TODAYshow!
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If you are at #ICCV2023, this is happening now, please stop by at our poster (#073)! ⏲ Time: Thursday 5th, 14:30 AM-16:30 PM 🎙 Location: Room "Foyer Sud".
Excited to announce a new paper with @kkitani and @LaszloJeni, to appear in ICCV 2023! tl;dr: We present an efficient, yet accurate method to track, estimate, and forecast 3D human pose from multiple cameras. (1/ 6)
So I got this nice award (PAMI Distinguished Researcher). PAMI is the name of a journal and the technical committee that helps run our field. But for me it’s more. It’s a home that’s supported and nurtured my career. A scientist doesn’t make a career on their own. 1/3
Wearing a traditional 🇨🇴 "outfit" today. I'll mostly be in the @latinxincv
Excited to be at ICCV! Our lab is presenting three new works at the main conference led by @prithvijitch (who was also accepted to doctoral consortium!), Sriram Yenamandra (applying to PhD programs this year), Aaditya Singh, and Kartik Sarangmath. 👇
Let #ICCV2023 start! So happy to spend this week in Paris. Looking forward to learn and share with friends and colleagues!
Really enjoyed giving the talk, thanks to everyone who came and @FerranDeLaTorre for hosting!
I get asked a lot: why stay in academia, all the excitement in AI is happening in industry with massive compute. And I am seeing some profs leaving academia, but also seeing lots of researchers in industry looking to go back to academia, especially those who don’t work on LLMs.…
🧑🏫Fernando de la Torre (@FerranDeLaTorre) from the Robotics Institute of the Carnegie Mellon University (@CMU_Robotics9 will be the keynote speaker of the Deep Learning Barcelona Symposium 2023. cs.cmu.edu/~ftorre/