Manohar Paluri

Research Lead

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 PhD 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.


Computer vision and machine learning

Latest Publications

AAAI - January 30, 2019

Large-Scale Visual Relationship Understanding

Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny

BMVC 2018 - September 4, 2018

Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery

Suriya Singh, Anil Batra, Guan Pang, Lorenzo Torresani, Saikat Basu, Manohar Paluri, C.V. Jawahar

CVPR 2018 - June 18, 2018

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri

CVPR 2018 - June 18, 2018

Detect-and-Track: Efficient Pose Estimation in Videos

Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran

CVPR 2018 - June 18, 2018

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets

De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles

ArXiv - May 2, 2018

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

ICWSM 2017 - May 16, 2017

Cultural Diffusion and Trends in Facebook Photographs

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

CVPR - June 27, 2016

Unsupervised Learning of Edges

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

CVPR 2016 - June 26, 2016

End-to-End Voxel-to-Voxel Prediction

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

ICLR - May 2, 2016

Metric Learning with Adaptive Density Discrimination

Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir Bourdev

ArXiv - June 22, 2015

Learning Spatiotemporal Features with 3D Convolutional Networks

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

CVPR - June 1, 2015

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

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

CVPR - June 24, 2014

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev