Camera Culture Group
@cameraculture
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Camera Culture Group at MIT Media Lab
75 Amherst St. Cambridge, MA
Joined May 2014
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Excited to present our #CVPR2025 ✨Highlight Paper "Blurred LiDAR for Sharper 3D." We introduce a method for 3D Gaussian surfel reconstruction that combines RGB images with diffuse (blurred) LiDARs. Surprisingly, we find that these blurred LiDARs, often used as simple proximity
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You can follow the research at https://t.co/oLmygg81xf, using AI to explain scientific phenomena—answering fundamental questions in biology and vision. 🔍👁️ #MIT #Science #Evolution #Vision #AI #MuseumNights
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This interactive exhibit is brought to you @cameraculture group by @cathyy8c3 Aaron Young @ktiwary2 @raskarmit @thisismyhat @MIT @medialab @mitbrainandcog Come interact with evolution and it shaped the way we see! 👀💡 🎟️ Get tickets:
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🔬✨ Experience the First Signs of Vision at @MITMuseum After Dark! Step into evolution & relive the 540-million-year journey from light-sensitive cells to modern sight. https://t.co/sqxMf1kDgJ 📅 April 10, 2025 | ⏰ 6-9 PM | 📍 MIT Museum | Tickets
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Looking forward to the 2nd Workshop on Neural Fields Beyond Conventional Cameras @CVPR! Call for papers is now open! #CVPR2025
Following an excellent debut at ECCV 2024, we're excited to announce the 2nd Workshop on Neural Fields Beyond Conventional Cameras at this CVPR 2025 in Nashville, Tennessee! Workshop site: https://t.co/luWyw0jgWU Call for papers is open from now until: April 11th
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Congratulations to Professor @raskarmit, head of the Media Lab’s @cameraculture research group, on receiving the 2024 @The_RPS Award for Imaging Science! This award recognizes sustained excellence or a notable contribution to the advancement or application of imaging science.
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LPMs and AgentTorch are making AI-driven societal modeling a reality! Follow and contribute to the project: https://t.co/SqDrfmNlT0 Learn more: Attend this talk by @ayushchopra96
https://t.co/x8DEC3yBfR this Saturday!
events.canonical.com
Conference web site Be a part of it! Are you astonished by what one can accomplish with free and open-source software? Are you amazed by what open-source communities put together with great enthusi...
Imagine millions of AI agents interacting, shaping our world. 🌍🤖 What if we could simulate entire societies to solve global challenges? We're doing just that at @MIT. Introducing Large Population Models ( https://t.co/ZsLDI8nKPn). Here's how they work and why it matters...🧵
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Congratulations to @cameraculture student Nikhil Behari on receiving the 2024 NASA Space Technology Graduate Research Opportunities (NSTGRO) Fellowship in support of his doctoral research proposal!
media.mit.edu
Fellows are selected based on their potential to contribute to NASA’s goal of creating innovative new space technologies.
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@violetto96 Try out for yourself at: https://t.co/XNryef7VXa tl;dr: trick is think beyond traditional agents using our differentiable ABMs + LLM archetypes bonus: even with high-variance individuals, you can reproduce census-statistics surprisingly well! learn more: https://t.co/8DEpoqEF9h
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@djjr @carmguti @neogeomancer We already do that! https://t.co/mW97IQ2wFO. Most recently, we helped the NZ govt track measles spread over their 5 million citizens and also helped design immunization programs for over 100 million people during Covid-19 Tl;Dr: think beyond agents (checkout our Archetypes)
github.com
large population models. Contribute to AgentTorch/AgentTorch development by creating an account on GitHub.
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@NickADobos @carmguti Not really. We simulate 8.4 million agents to represent NYC for $1000 dollars. Trick is to think beyond agents (see our work: https://t.co/mW97IQ2wFO)
github.com
large population models. Contribute to AgentTorch/AgentTorch development by creating an account on GitHub.
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This is amazing work from our group at @MIT @medialab. AgentTorch scales generative agent simulations to million-size populations. Bringing AI to health, energy and supply chains! Follow the project: https://t.co/SqDrfmNTIy Join us: https://t.co/exTRC0MfsM
#AI #LLM #Agents
github.com
large population models. Contribute to AgentTorch/AgentTorch development by creating an account on GitHub.
AgentTorch ( https://t.co/XNryef7VXa), built at @MIT, scales simulations to over 100 million agents (for ~$1000!) Our models are helping immunize millions of people and track billions of dollars in supply chain, globally! tl;dr: think beyond LLM agents (use our LLM Archetypes)
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🚨 🚨 🚨 The Neural Fields Beyond Conventional Cameras workshop at #ECCV2024 is accepting papers and extended abstracts for poster and oral presentation! We welcome papers submitted to @eccvconf, whether accepted or rejected. Deadline: August 9, 2024
Happy to share the 1st Workshop on Neural Fields Beyond Conventional Cameras will be hosted at @eccvconf #ECCV2024 in Milan, Italy! Webpage: https://t.co/iddho14v4Q Confirmed speakers include @DaveLindell, @jon_barron, Tali Treibitz, and Daniel Cremers, with more coming soon!
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📢 Our ECCV '24 paper 📢 DecentNeRFs: Decentralized Neural Radiance Fields from @MIT @medialab and @Rice on scaling NeRFs to crowdsourced photos. Private+Decentralized: We protect the user's personal content while slashing server computation by 10,000x. https://t.co/XSfIG4nlkv 🧵
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Congratulations to Prof. @raskarmit and the @cameraculture research group on receiving a Test of Time Award at #SIGGRAPH2024, for their 2013 paper "Femto-Photography: Capturing and Visualizing the Propagation of Light"!
media.mit.edu
This paper titled "Femto-Photography: Capturing and Visualizing the Propagation of Light" was originally presented at SIGGRAPH 2013.
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Congrats to Charles Lu and Siddharth Somasundaram, graduate students in the Media Lab’s Camera Culture research group, on being selected for the @NSF Graduate Research Fellowship Program (NSF-GRFP)! https://t.co/BhVGoUt3MU
media.mit.edu
They've been selected as Fellows in the fields of Machine Learning and Computer Vision.
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Introducing ✨ PlatoNeRF ✨! 😍 achieves 3D reconstruction from just one view 🤓 models two-bounce light interactions 😎 trained only from single-photon lidar measurements Project: https://t.co/It5Pl6kQEX Paper: https://t.co/7P1NnN1GIi Code/Dataset: https://t.co/ttC1ZPdcs1
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On May 11, as the culmination of a course titled “AI and Web3 for Impact: Venture Studio," 14 student teams took the stage at the Media Lab to showcase projects designed to make a difference in the world, and potentially to create new businesses.
media.mit.edu
On May 11, 2022, the MIT Media Lab hosted a biannual event known as Demo Day, where 14 teams of students presented their course projects.
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