Meta AI

2851 results for ""

Publication

January 02, 2026

Computer Vision

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation

Yuanhao Cai, Kunpeng Li, Menglin Jia, Jialiang Wang, Junzhe Sun, Feng Liang, Weifeng Chen, Felix Xu, Chu Wang, Ali Thabet, Xiaoliang Dai, Xuan Ju, Alan Yuille, Ji Hou

January 02, 2026

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Publication

December 26, 2025

Reinforcement Learni9ng

NLP

Safety Alignment of LMs via Non-cooperative Games

Anselm Paulus, Ilia Kulikov, Brandon Amos, Remi Munos, Ivan Evtimov, Kamalika Chaudhuri, Arman Zharmagambetov

December 26, 2025

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Publication

December 18, 2025

Computer Vision

We Can Hide More Bits: The Unused Watermarking Capacity in Theory and Practice

Aleksandar Petrov, Pierre Fernandez, Tomáš Souček, Hady Elsahar

December 18, 2025

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Publication

December 18, 2025

NLP

How Good is Post-Hoc Watermarking With Language Model Rephrasing?

Pierre Fernandez, Tom Sander, Hady Elsahar, Hongyan Chang, Tomáš Souček, Sylvestre Rebuffi, Valeriu Lacatusu, Tuan Tran, Alexandre Mourachko

December 18, 2025

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Publication

December 18, 2025

Computer Vision

Learning to Watermark in the Latent Space of Generative Models

Sylvestre Rebuffi, Tuan Tran, Valeriu Lacatusu, Pierre Fernandez, Tomáš Souček, Tom Sander, Hady Elsahar, Alexandre Mourachko

December 18, 2025

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Publication

December 18, 2025

Computer Vision

Pixel Seal: Adversarial-only training for invisible image and video watermarking

Tomáš Souček, Pierre Fernandez, Hady Elsahar, Sylvestre Rebuffi, Valeriu Lacatusu, Tuan Tran, Tom Sander, Alexandre Mourachko

December 18, 2025

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Publication

December 16, 2025

Speech & Audio

Computer Vision

SAM Audio: Segment Anything in Audio

Bowen Shi, Andros Tjandra, John Hoffman, Helin Wang, Yi-Chiao Wu, Luya Gao, Julius Richter, Matt Le, Apoorv Vyas, Sanyuan Chen, Christoph Feichtenhofer, Piotr Dollar, Wei-Ning Hsu, Ann Lee

December 16, 2025

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Publication

December 16, 2025

Speech & Audio

Computer Vision

Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning

Apoorv Vyas, Heng-Jui Chang, Cheng-Fu Yang, Bernie Huang, Luya Gao, Julius Richter, Sanyuan Chen, Matt Le, Piotr Dollar, Christoph Feichtenhofer, Ann Lee, Wei-Ning Hsu

December 16, 2025

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Publication

December 12, 2025

NLP

Computer Vision

Text-Guided Semantic Image Encoder

Raghuveer Thirukovalluru, Xiaochuang Han, Bhuwan Dhingra, Emily Dinan, Maha Elbayad

December 12, 2025

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Publication

December 01, 2025

Conversational AI

Reinforcement Learni9ng

Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following

Yun He, Wenzhe Li, Hejia Zhang, Vincent Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Selina Xiaoliang Peng, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui

December 01, 2025

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Publication

November 19, 2025

Computer Vision

SAM 3D: 3Dfy Anything in Images

SAM 3D Team, Xingyu Chen, Fu-Jen Chu, Pierre Gleize, Kevin J Liang, Alexander Sax, Hao Tang, Weiyao Wang, Michelle Guo, Thibaut Hardin, Xiang Li, Aohan Lin, Jiawei Liu, Ziqi Ma, Anushka Sagar, Bowen Song, Xiaodong Wang, Jianing Yang, Bowen Zhang, Piotr Dollar, Georgia Gkioxari, Matt Feiszli, Jitendra Malik

November 19, 2025

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Publication

November 19, 2025

Computer Vision

SAM 3D Body: Robust Full-Body Human Mesh Recovery

Xitong Yang, Devansh Kukreja, Don Pinkus, Anushka Sagar, Taosha Fan, Jinhyung Park, Soyong Shin, Jinkun Cao, Jiawei Liu, Nicolas Ugrinovic, Matt Feiszli, Jitendra Malik, Piotr Dollar, Kris Kitani

November 19, 2025

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Person

Aaron Defazio

New York City, United States

Aaron's research focuses on improving the practice of machine learning through the development of more reliable and theoretically sound methods such as ...

Research Area:

Theory

Core Machine Learning

Person

Abhimanyu Dubey

Menlo Park, United States

Abhimanyu is a Research Scientist at Facebook AI Research working on problems in machine learning. He received his Ph.D. in 2021 from the Massachusetts ...

Research Area:

Computer Vision

Human & Machine Intelligence

Person

Abhishek Das

Menlo Park, United States

Abhishek is a Research Scientist at Facebook AI Research (FAIR). His research focuses on deep learning and its applications in climate change, and in bu...

Research Area:

Robotics

Reinforcement Learni9ng

Person

Adam Polyak

Tel Aviv, Israel

Adam is a research engineer at Facebook AI Research (FAIR), focusing on deep learning, cross domain image generation, audio generation, and voice conver...

Research Area:

Computer Vision

NLP

Person

Adeel Cheema

New York City, United States

Adeel is a software engineer working on transparency & control within Meta’s Responsible AI pillar. He focuses on creating product experiences to expl...

Person

Adina Williams

New York City, United States

Adina is a Research Scientist at Facebook AI Research in NYC (started October 2018). Previously, she earned her PhD at New York University in the Depart...

Research Area:

Computer Vision

Core Machine Learning

Person

Adriana Romero Soriano

Montreal, Canada

Adriana is currently a research scientist at Facebook AI Research and an adjunct professor at McGill University. The goal of her research is to develop ...

Research Area:

Reinforcement Learni9ng

Computer Vision

Person

Akhil Mathur

London, United Kingdom

Akhil Mathur is a Research Scientist in the Llama Research team at Meta, working on enhancing the reasoning abilities of Llama models. Previously, as a ...

Person

Akshara Rai

Menlo Park, United States

Akshara is a Research Scientist at Facebook AI Research, working at the intersection of machine learning and control. Her research aims at teaching robo...

Research Area:

Robotics

Computer Vision

Person

Alborz Geramifard

Menlo Park, United States

Alborz Geramifard is a senior research manager at Meta AI supporting the Conversational AI. Prior to joining Meta, he led the conversational AI team at ...

Research Area:

Robotics

Reinforcement Learni9ng

Person

Alexander H. Miller

London, United Kingdom

Alexander has worked in multi-domain research engineering management, supporting research engineers in London, Tel Aviv, and New York. He is advanced in...

Research Area:

Reinforcement Learni9ng

Graphics

Person

Amey Porobo Dharwadker

Menlo Park, United States

Amey Porobo Dharwadker works as a Machine Learning Engineering Manager, leading Facebook's Video Recommendations Ranking team. Renowned for his expertis...

Blog

February 20, 2025

Open Source

How Orakl Oncology is using DINOv2 to accelerate cancer treatment discovery

Orakl Oncology aims to accelerate cancer research and drug development by combining experimental, lab-based insights and machine learning.

February 20, 2025

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Blog

December 18, 2025

Computer Vision

How DINO and SAM are Helping Modernize Essential Medical Triage Practices

By leveraging advanced AI models, teams at the University of Pennsylvania are aiming to bring cutting-edge automation to emergency response.

December 18, 2025

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Blog

December 18, 2025

Computer Vision

The Universities Space Research Association Applies Segment Anything Model for Responding to Flood Emergencies

The Universities Space Research Association and Meta are collaborating to help support water observing systems set up by the U.S. Geological Survey.

December 18, 2025

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Dataset

December 17, 2025

Meta Synthetic Environments Lidar Dataset | Meta AI Research

The Meta Synthetic Environments (MSE) Lidar Dataset is the first-of-its-kind large-scale single-photon lidar dataset, built on top of Aria Synthetic Environments (ASE) and intended to unlock new machine learning capabilities for single-photon lidars.

December 17, 2025

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Blog

December 16, 2025

Computer Vision

Introducing SAM Audio: The First Unified Multimodal Model for Audio Separation

SAM Audio transforms audio processing by making it easy to isolate any sound from complex audio mixtures using natural, multimodal prompts — whether through text, visual cues, or marking time segments.

December 16, 2025

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Blog

November 19, 2025

Computer Vision

Introducing SAM 3D: Powerful 3D Reconstruction for Physical World Images

This release introduces two new state-of-the-art models: SAM 3D Objects for object and scene reconstruction, and SAM 3D Body for human body and shape estimation.

November 19, 2025

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Blog

November 24, 2025

Computer Vision

How Conservation X Labs Is Using Segment Anything Model 3 for Endangered Wildlife Monitoring

Start-ups like Conservation X Labs are using Meta’s Segment Anything Models to bolster on-the-ground conservation expertise.

November 24, 2025

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Blog

November 21, 2025

Open Source

ExecuTorch Adoption in Reality Labs: Powering On-Device AI Across Meta Devices

ExecuTorch, Meta’s open source, lightweight, and efficient inference engine, has been instrumental in enabling on-device AI capabilities across Meta’s family of apps.

November 21, 2025

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Blog

November 10, 2025

Open Source

Omnilingual ASR: Advancing Automatic Speech Recognition for 1,600+ Languages

We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.

November 10, 2025

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Blog

November 19, 2025

Computer Vision

Introducing Meta Segment Anything Model 3 and Segment Anything Playground

Explore Segment Anything Model 3 and the new Segment Anything Playground, a place to experience the full capabilities of our most advanced SAM releases to date.