Rohit Girdhar

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Facebook ∙ Carnegie Mellon University

Self-Supervised Pretraining of 3D Features on any Point-Cloud

Pretraining on large labeled datasets is a prerequisite to achieve good ...
01/07/2021 ∙ by Zaiwei Zhang, et al. ∙ 14 ∙ share

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Forward Prediction for Physical Reasoning

Physical reasoning requires forward prediction: the ability to forecast ...
06/18/2020 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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Video Understanding as Machine Translation

With the advent of large-scale multimodal video datasets, especially seq...
06/12/2020 ∙ by Bruno Korbar, et al. ∙ 11 ∙ share

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Are we asking the right questions in MovieQA?

Joint vision and language tasks like visual question answering are fasci...
11/08/2019 ∙ by Bhavan Jasani, et al. ∙ 0 ∙ share

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CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

Computer vision has undergone a dramatic revolution in performance, driv...
10/10/2019 ∙ by Rohit Girdhar, et al. ∙ 7 ∙ share

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MetaPix: Few-Shot Video Retargeting

We address the task of unsupervised retargeting of human actions from on...
10/10/2019 ∙ by Jessica Lee, et al. ∙ 8 ∙ share

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DistInit: Learning Video Representations without a Single Labeled Video

Video recognition models have progressed significantly over the past few...
01/26/2019 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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Video Action Transformer Network

We introduce the Action Transformer model for recognizing and localizing...
12/06/2018 ∙ by Rohit Girdhar, et al. ∙ 20 ∙ share

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A Better Baseline for AVA

We introduce a simple baseline for action localization on the AVA datase...
07/26/2018 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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Binge Watching: Scaling Affordance Learning from Sitcoms

In recent years, there has been a renewed interest in jointly modeling p...
04/09/2018 ∙ by Xiaolong Wang, et al. ∙ 2 ∙ share

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Detect-and-Track: Efficient Pose Estimation in Videos

This paper addresses the problem of estimating and tracking human body k...
12/26/2017 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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Attentional Pooling for Action Recognition

We introduce a simple yet surprisingly powerful model to incorporate att...
11/04/2017 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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ActionVLAD: Learning spatio-temporal aggregation for action classification

In this work, we introduce a new video representation for action classif...
04/10/2017 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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Learning a Predictable and Generative Vector Representation for Objects

What is a good vector representation of an object? We believe that it sh...
03/29/2016 ∙ by Rohit Girdhar, et al. ∙ 0 ∙ share

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Rohit Girdhar

Featured Co-authors

Andrew Zisserman

Abhinav Gupta

Deva Ramanan

Armand Joulin

Lorenzo Torresani

Xiaolong Wang

Josef Sivic

Laurens van der Maaten

Joao Carreira

Georgia Gkioxari

Du Tran

Self-Supervised Pretraining of 3D Features on any Point-Cloud

Forward Prediction for Physical Reasoning

Video Understanding as Machine Translation

Are we asking the right questions in MovieQA?

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

MetaPix: Few-Shot Video Retargeting

DistInit: Learning Video Representations without a Single Labeled Video

Video Action Transformer Network

A Better Baseline for AVA

Binge Watching: Scaling Affordance Learning from Sitcoms

Detect-and-Track: Efficient Pose Estimation in Videos

Attentional Pooling for Action Recognition

ActionVLAD: Learning spatio-temporal aggregation for action classification

Learning a Predictable and Generative Vector Representation for Objects