Manohar Paluri

Research Lead

Computer Vision
Facebook AI Research (FAIR)
Machine Learning

Since, I joined Facebook in 2012 I have worked on building Facebook’s Image and Video understanding platform. My interests lie in using large amounts of annotated and weakly annotated image and video data to build a visual representation of everything in the world. Prior to joining Facebook I was pursuing my Ph.D. from Georgia Tech and worked at Google, IBM Watson labs and Sarnoff Corporation(Now SRI). Currently, I manage the computer vision group and my group focuses on building Facebook’s image and video understanding platform.

Interests

Computer Vision, Machine Learning

Website
Google Scholar Profile
Website
Google Scholar Profile

Latest Publications

Cultural Diffusion and Trends in Facebook Photographs

Quenzeng You, Dario Garcia, Manohar Paluri, Jiebo Luo, Jungseock Joo

ICWSM 2017 - May 16, 2017

Unsupervised Learning of Edges

Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollar

CVPR - June 27, 2016

End-to-End Voxel-to-Voxel Prediction

Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

CVPR 2016 - June 26, 2016

Metric Learning with Adaptive Density Discrimination

Oren Rippel, Manohar Paluri, Piotr Dollar, Lubomir Bourdev

ICLR - May 2, 2016

Learning Spatiotemporal Features with 3D Convolutional Networks

Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

ArXiv - June 22, 2015

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir Bourdev

CVPR - June 1, 2015
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News

Announcing the DeepGlobe Satellite Challenge for CVPR 2018

March 29, 2018

Engineering for nostalgia: Building a personalized ‘On This Day’ experience

March 30, 2016

C3D: Generic Features for Video Analysis

December 8, 2014