Cem Koç
@cemkoch.bsky.social
Coffee Lover • Husky Dad • ML Researcher @ • Berkeley Grad
Today we have released the code and a demo iOS application for FastVLM - our extremely efficient and fast vision language model which runs on your device using MLX! You can check out the code and the app here: github.com/apple/ml-fas...
May 7, 2025 at 10:20 PM
Today we have released the code and a demo iOS application for FastVLM - our extremely efficient and fast vision language model which runs on your device using MLX! You can check out the code and the app here: github.com/apple/ml-fas...
Reposted by Cem Koç
March 19, 2025 at 3:42 AM
Reposted by Cem Koç
If you're looking for research scientist roles in Europe, check out Marco's post! The Paris team is fantastic, and does diverse idea-driven and impactful research. In addition, MLR is highly collaborative across timezones, so you'd have a chance to work with many others too.
The Apple Machine Learning Research (MLR) team in Paris has openings for both FTE roles and a short-term post-doc position to contribute to our team's research agenda. Researchers at Apple's MLR (led by Samy Bengio) target impactful publications in top-tier ML venues and OSS.
December 18, 2024 at 5:14 PM
If you're looking for research scientist roles in Europe, check out Marco's post! The Paris team is fantastic, and does diverse idea-driven and impactful research. In addition, MLR is highly collaborative across timezones, so you'd have a chance to work with many others too.
Excited about vision-language models? 🚀 Check out our latest work on FastVLM, a new family of efficient vision-language models that balances the tradeoff between high-resolution image understanding and latency without compromising accuracy!
arxiv.org/abs/2412.13303
arxiv.org/abs/2412.13303
December 19, 2024 at 6:18 PM
Excited about vision-language models? 🚀 Check out our latest work on FastVLM, a new family of efficient vision-language models that balances the tradeoff between high-resolution image understanding and latency without compromising accuracy!
arxiv.org/abs/2412.13303
arxiv.org/abs/2412.13303
Reposted by Cem Koç
🤔Image-to-3D, monocular depth estimation, camera pose estimation, …, can we achieve all of this with just ONE model easily?
🚀Our answer is Yes -- Excited to introduce our latest work: World-consistent Video Diffusion (WVD) with Explicit 3D Modeling!
arxiv.org/abs/2412.01821
🚀Our answer is Yes -- Excited to introduce our latest work: World-consistent Video Diffusion (WVD) with Explicit 3D Modeling!
arxiv.org/abs/2412.01821
December 4, 2024 at 1:41 PM
🤔Image-to-3D, monocular depth estimation, camera pose estimation, …, can we achieve all of this with just ONE model easily?
🚀Our answer is Yes -- Excited to introduce our latest work: World-consistent Video Diffusion (WVD) with Explicit 3D Modeling!
arxiv.org/abs/2412.01821
🚀Our answer is Yes -- Excited to introduce our latest work: World-consistent Video Diffusion (WVD) with Explicit 3D Modeling!
arxiv.org/abs/2412.01821
Reposted by Cem Koç
𝗗𝗼𝗲𝘀 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻? 🤔
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
November 22, 2024 at 8:32 AM
𝗗𝗼𝗲𝘀 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻? 🤔
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
Reposted by Cem Koç
Looking for an alternative to RAG for personalization?
With PLUM, a pipeline for teaching LLMs to remember prior user conversations, we aim to enable your future personalization research! Joint work with @maartjeterhoeve.bsky.social, Katherine Metcalf and Yizhe Zhang from my internship at Apple.
🧵
With PLUM, a pipeline for teaching LLMs to remember prior user conversations, we aim to enable your future personalization research! Joint work with @maartjeterhoeve.bsky.social, Katherine Metcalf and Yizhe Zhang from my internship at Apple.
🧵
November 21, 2024 at 6:03 PM
Looking for an alternative to RAG for personalization?
With PLUM, a pipeline for teaching LLMs to remember prior user conversations, we aim to enable your future personalization research! Joint work with @maartjeterhoeve.bsky.social, Katherine Metcalf and Yizhe Zhang from my internship at Apple.
🧵
With PLUM, a pipeline for teaching LLMs to remember prior user conversations, we aim to enable your future personalization research! Joint work with @maartjeterhoeve.bsky.social, Katherine Metcalf and Yizhe Zhang from my internship at Apple.
🧵