Manohar Paluri | DeepAI

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Featured Co-authors

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∙ 05/02/2019

Billion-scale semi-supervised learning for image classification

This paper presents a study of semi-supervised learning with large convo...

0 I. Zeki Yalniz, et al. ∙

∙ 04/25/2019

Holistic Large Scale Video Understanding

Action recognition has been advanced in recent years by benchmarks with ...

30 Ali Diba, et al. ∙

∙ 12/26/2018

Exploring the Challenges towards Lifelong Fact Learning

So far life-long learning (LLL) has been studied in relatively small-sca...

0 Mohamed Elhoseiny, et al. ∙

∙ 05/02/2018

Exploring the Limits of Weakly Supervised Pretraining

State-of-the-art visual perception models for a wide range of tasks rely...

0 Dhruv Mahajan, et al. ∙

∙ 04/27/2018

Large-Scale Visual Relationship Understanding

Large scale visual understanding is challenging, as it requires a model ...

0 Ji Zhang, et al. ∙

∙ 12/26/2017

Detect-and-Track: Efficient Pose Estimation in Videos

This paper addresses the problem of estimating and tracking human body k...

0 Rohit Girdhar, et al. ∙

∙ 11/30/2017

A Closer Look at Spatiotemporal Convolutions for Action Recognition

In this paper we discuss several forms of spatiotemporal convolutions fo...

0 Du Tran, et al. ∙

∙ 05/29/2017

Pose-Aware Person Recognition

Person recognition methods that use multiple body regions have shown sig...

0 Vijay Kumar, et al. ∙

∙ 05/20/2017

End-to-end Planning of Fixed Millimeter-Wave Networks

This article discusses a framework to support the design and end-to-end ...

0 Tim Danford, et al. ∙

∙ 07/15/2016

DSD: Dense-Sparse-Dense Training for Deep Neural Networks

Modern deep neural networks have a large number of parameters, making th...

0 Song Han, et al. ∙

∙ 06/23/2016

VideoMCC: a New Benchmark for Video Comprehension

While there is overall agreement that future technology for organizing, ...

0 Du Tran, et al. ∙

∙ 11/18/2015

Metric Learning with Adaptive Density Discrimination

Distance metric learning (DML) approaches learn a transformation to a re...

0 Oren Rippel, et al. ∙

∙ 11/13/2015

Unsupervised Learning of Edges

Data-driven approaches for edge detection have proven effective and achi...

0 Yin Li, et al. ∙

∙ 11/12/2015

ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks

This paper aims to classify and locate objects accurately and efficientl...

0 Chen Sun, et al. ∙

∙ 01/23/2015

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

We explore the task of recognizing peoples' identities in photo albums i...

0 Ning Zhang, et al. ∙

∙ 12/02/2014

Learning Spatiotemporal Features with 3D Convolutional Networks

We propose a simple, yet effective approach for spatiotemporal feature l...

0 Du Tran, et al. ∙

∙ 06/09/2014

Training Convolutional Networks with Noisy Labels

The availability of large labeled datasets has allowed Convolutional Net...

0 Sainbayar Sukhbaatar, et al. ∙

∙ 11/21/2013

PANDA: Pose Aligned Networks for Deep Attribute Modeling

We propose a method for inferring human attributes (such as gender, hair...

0 Ning Zhang, et al. ∙

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