Christoph Feichtenhofer

Is a research scientist at Facebook AI Research (FAIR). Prior to joining Facebook in Spring 2018, he received the PhD degree in computer science from TU Graz, and spent time as a visiting researcher at the York University Toronto and the University of Oxford. He is the recipient of a DOC Fellowship of the Austrian Academy of Sciences and his PhD thesis was awarded with the Award of Excellence for outstanding doctoral thesis in Austria. His main areas of research include the development of effective representations for video understanding. He aims to find solutions for problems that are grounded in applications such as recognition and detection from video.

Research Areas

Christoph's Work

Christoph's Publications

June 09, 2020

COMPUTER VISION

ML APPLICATIONS

X3D: Expanding Architectures for Efficient Video Recognition

This paper presents X3D, a family of efficient video networks that progressively expand a tiny 2D image classification architecture along multiple network axes, in space, time, width and depth.

Christoph Feichtenhofer

June 09, 2020

October 28, 2019

RESEARCH

COMPUTER VISION

SlowFast Networks for Video Recognition

We present SlowFast networks for video recognition. Our model involves (i) a Slow pathway, operating at low frame rate, to capture spatial semantics, and (ii) a Fast pathway, operating at high frame rate, to capture motion at fine temporal…

Christoph Feichtenhofer , Haoqi Fan, Jitendra Malik, Kaiming He

October 28, 2019