Lubomir Bourdev

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Real-Time Adaptive Image Compression

We present a machine learning-based approach to lossy image compression ...
05/16/2017 ∙ by Oren Rippel, et al. ∙ 0 ∙ share

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Metric Learning with Adaptive Density Discrimination

Distance metric learning (DML) approaches learn a transformation to a re...
11/18/2015 ∙ by Oren Rippel, et al. ∙ 0 ∙ share

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

This paper aims to classify and locate objects accurately and efficientl...
11/12/2015 ∙ by Chen Sun, et al. ∙ 0 ∙ share

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Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

We explore the task of recognizing peoples' identities in photo albums i...
01/23/2015 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Compressing Deep Convolutional Networks using Vector Quantization

Deep convolutional neural networks (CNN) has become the most promising m...
12/18/2014 ∙ by Yunchao Gong, et al. ∙ 0 ∙ share

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Learning Spatiotemporal Features with 3D Convolutional Networks

We propose a simple, yet effective approach for spatiotemporal feature l...
12/02/2014 ∙ by Du Tran, et al. ∙ 0 ∙ share

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Deep Poselets for Human Detection

We address the problem of detecting people in natural scenes using a par...
07/02/2014 ∙ by Lubomir Bourdev, et al. ∙ 0 ∙ share

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Training Convolutional Networks with Noisy Labels

The availability of large labeled datasets has allowed Convolutional Net...
06/09/2014 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

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Microsoft COCO: Common Objects in Context

We present a new dataset with the goal of advancing the state-of-the-art...
05/01/2014 ∙ by Tsung-Yi Lin, et al. ∙ 0 ∙ share

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PANDA: Pose Aligned Networks for Deep Attribute Modeling

We propose a method for inferring human attributes (such as gender, hair...
11/21/2013 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Learned Video Compression

We present a new algorithm for video coding, learned end-to-end for the ...
11/16/2018 ∙ by Oren Rippel, et al. ∙ 0 ∙ share

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Lubomir Bourdev

Featured Co-authors

Trevor Darrell

Joan Bruna

Ross Girshick

Serge Belongie

Deva Ramanan

Ning Zhang

Marc'Aurelio Ranzato

Liu Liu

Pietro Perona

Lorenzo Torresani

Rob Fergus

Real-Time Adaptive Image Compression

Metric Learning with Adaptive Density Discrimination

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

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

Compressing Deep Convolutional Networks using Vector Quantization

Learning Spatiotemporal Features with 3D Convolutional Networks

Deep Poselets for Human Detection

Training Convolutional Networks with Noisy Labels

Microsoft COCO: Common Objects in Context

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Learned Video Compression