Facebook AI

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Publication

August 09, 2021

COMPUTER VISION

GRAPHICS

Deep Relightable Appearance Models for Animatable Faces

We present a method for building high-fidelity animatable 3D face models that can be posed and rendered with novel lighting environments in real-time. …

Sai Bi, Stephen Lombardi,Shunsuke Saito, Tomas Simon, Shih-en Wei, Kevyn McPhail, Ravi Ramamoorthi, Yaser Sheikh, Jason Saragih

August 09, 2021

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Event

June 30, 2021

RESEARCH

Facebook AI Innovation Summit

On the occasion of its sixth anniversary, FAIR Paris brings its European partners together to celebrate this moment during an online conference around its leaders, researchers, and institutional partners.

June 30, 2021

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Publication

June 19, 2021

CORE MACHINE LEARNING

COMPUTER VISION

Robust Audio-Visual Instance Discrimination

We present a self-supervised learning method to learn audio and video representations …

Pedro Morgado, Ishan Misra, Nuno Vasconcelos

June 19, 2021

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Publication

June 19, 2021

COMPUTER VISION

Fast and Accurate Model Scaling

In this work we analyze strategies for convolutional neural network scaling; that is, the process of scaling a base convolutional network …

Piotr Dollár, Mannat Singh, Ross Girshick

June 19, 2021

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Publication

June 18, 2021

COMPUTER VISION

GRAPHICS

Single-Shot Freestyle Dance Reenactment

The task of motion transfer between a source dancer and a target person is a special case of the pose transfer problem …

Oran Gafni, Oron Ashual Lior Wolf

June 18, 2021

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Publication

June 16, 2021

CORE MACHINE LEARNING

COMPUTER VISION

IIRC: Incremental Implicitly-Refined Classification

We introduce the “Incremental Implicitly-Refined Classification (IIRC)” setup, an extension to the class incremental …

Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar

June 16, 2021

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Person

Tal Hassner

Menlo Park, United States

Tal is an Applied Research Lead at Facebook AI. Prior to that, he was a principal scientist at Amazon AWS. He is also affiliated with The Open University of Israel, Department of Mathematics and Computer Science. Tal's work is mainly related to…

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Publication

June 11, 2021

COMPUTER VISION

Lips Don’t Lie: A Generalisable and Robust Approach to Face Forgery Detection

Although current deep learning-based face forgery detectors achieve impressive performance in constrained scenarios …

Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic

June 11, 2021

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Person

Praveen Krishnan

Menlo Park, United States

Praveen is a Postdoctoral researcher at Facebook AI. His current research interest focuses on photorealistic generation of textual images in scene text and handwriting. …

Research Area:

SPEECH & AUDIO

COMPUTER VISION

Profile

Person

Ilya Mironov

Tel Aviv, Israel

Ilya is a Research Scientist at Facebook AI, currently working on privacy-preserving machine learning with a particular focus on differential privacy. Previously, he worked in Google Brain (2015–2019) and Microsoft Research Silicon Valley (2003–2014).he holds a Ph.D. in cryptography from Stanford.

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Publication

June 10, 2021

COMPUTER VISION

TextStyleBrush: Transfer of text aesthetics from a single example

We present a novel approach for disentangling the content of a text image from all aspects of its appearance …

Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner

June 10, 2021

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Blog

June 09, 2021

RESEARCH

Launching the NetHack Challenge at NeurIPS 2021

We are excited to launch the NetHack Challenge (@NetHack_LE) with a #NeurIPS2021 competition! NetHack is one of the hardest games ever made and it runs 50-100x faster than other RL challenges of comparable complexity.