Dhruv Mahajan

According to our database1, Dhruv Mahajan authored at least 44 papers between 2004 and 2020.

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Bibliography

2020
What leads to generalization of object proposals?
CoRR, 2020

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ClusterFit: Improving Generalization of Visual Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Measuring Dataset Granularity.
CoRR, 2019

Self-Supervised Learning by Cross-Modal Audio-Video Clustering.
CoRR, 2019

Large-scale weakly-supervised pre-training for video action recognition.
CoRR, 2019

Billion-scale semi-supervised learning for image classification.
CoRR, 2019

Scaling and Benchmarking Self-Supervised Visual Representation Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Activity Driven Weakly Supervised Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Distributed Newton Methods for Deep Neural Networks.
Neural Comput., 2018

An efficient distributed learning algorithm based on effective local functional approximations.
J. Mach. Learn. Res., 2018

Exploring the Limits of Weakly Supervised Pretraining.
Proceedings of the Computer Vision - ECCV 2018, 2018

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Batch-Expansion Training: An Efficient Optimization Framework.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
A distributed block coordinate descent method for training l1 regularized linear classifiers.
J. Mach. Learn. Res., 2017

Towards Geo-Distributed Machine Learning.
IEEE Data Eng. Bull., 2017

Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles.
CoRR, 2017

Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning.
CoRR, 2017

Gradient Boosted Decision Trees for High Dimensional Sparse Output.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Towards Geo-Distributed Machine Learning.
CoRR, 2016

Hashtag Recommendation for Enterprise Applications.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.
CoRR, 2014

A Distributed Algorithm for Training Nonlinear Kernel Machines.
CoRR, 2014

Cluster Canonical Correlation Analysis.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
A Parallel SGD method with Strong Convergence.
CoRR, 2013

A Functional Approximation Based Distributed Learning Algorithm.
CoRR, 2013

2012
A unified approach to learning task-specific bit vector representations for fast nearest neighbor search.
Proceedings of the 21st World Wide Web Conference 2012, 2012

A Classification Based Framework for Concept Summarization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Learning hierarchical similarity metrics.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

LogUCB: an explore-exploit algorithm for comments recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A joint learning framework for attribute models and object descriptions.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Image classification using the web graph.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

2009
Compressive light transport sensing.
ACM Trans. Graph., 2009

Moving gradients: a path-based method for plausible image interpolation.
ACM Trans. Graph., 2009

2008
A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting.
Comput. Graph. Forum, 2008

2007
A first-order analysis of lighting, shading, and shadows.
ACM Trans. Graph., 2007

A theory of locally low dimensional light transport.
ACM Trans. Graph., 2007

2006
A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.
Proceedings of the Computer Vision, 2006

2004
A Framework for Activity Recognition and Detection of Unusual Activities.
Proceedings of the ICVGIP 2004, 2004


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