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Mahajan Dhruv

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I am a Research Scientist at Yahoo Research Bangalore.I was affiliated with the Computer Graphics Group. My thesis advisors were Prof. Ravi Ramamoorthi and Prof. Peter Belhumeur. I did my Masters in CS from Columbia University in 2006 and undergrad. in Computer Science from Indian Institute Of Technology Delhi (IIT-Delhi) in 2004.

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Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

Singh Krishna Kumar,Mahajan Dhruv,Grauman Kristen,Lee Yong Jae,Feiszli Matt,Ghadiyaram Deepti

CVPR, pp.11067-11075, (2020)

EIBibtex

Machine Learning Algorithms for Traffic Interruption Detection

Yashaswi Karnati,Dhruv Mahajan,Anand Rangarajan,Sanjay Ranka

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC), pp.231-236, (2020)

EIWOSBibtex

A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs

Dhruv Mahajan, Tania Banerjee, Yashaswi Karnati,Anand Rangarajan,Sanjay Ranka

VEHITS, pp.203-210, (2020)

EIBibtex

Data Mining Algorithms for Traffic Interruption Detection

Yashaswi Karnati,Dhruv Mahajan,Anand Rangarajan,Sanjay Ranka

VEHITS, pp.106-114, (2020)

EIBibtex

Self-Supervised Learning by Cross-Modal Audio-Video Clustering

Humam Alwassel,Dhruv Mahajan,Bruno Korbar,Lorenzo Torresani,Bernard Ghanem,Du Tran

NIPS 2020, (2020)

EIBibtex

DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data

Vignesh Ramanathan, Rui Wang,Dhruv Mahajan

CVPR, pp.9339-9349, (2020)

EIBibtex

ClusterFit: Improving Generalization of Visual Representations

Yan Xueting,Misra Ishan,Gupta Abhinav,Ghadiyaram Deepti,Mahajan Dhruv

CVPR, pp.6508-6517, (2019)

Cited by8EIBibtex

Measuring Dataset Granularity

Cui Yin, Gu Zeqi,Mahajan Dhruv,van der Maaten Laurens,Belongie Serge,Lim Ser-Nam

Bibtex

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

Ying Zhenqiang,Niu Haoran,Gupta Praful,Mahajan Dhruv,Ghadiyaram Deepti,Bovik Alan

CVPR, pp.3572-3582, (2019)

Cited by5EIBibtex

Self-Supervised Learning by Cross-Modal Audio-Video Clustering

Alwassel Humam,Mahajan Dhruv,Torresani Lorenzo, Ghanem Bernard,Tran Du

neural information processing systems, (2019)

Cited by30Bibtex

Stochastic Spread Pairs Trading in the Indian Commodity Market

Mahajan Dhruv, Chandra Abhijeet

Bibtex

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Priya Goyal,Dhruv Mahajan,Abhinav Gupta,Ishan Misra

ICCV, pp.6390-6399, (2019)

Cited by83EIBibtex

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition

Deepti Ghadiyaram,Du Tran,Dhruv Mahajan

CVPR, pp.12046-12055, (2019)

Cited by31EIBibtex

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Priya Goyal,Dhruv Mahajan,Abhinav Gupta,Ishan Misra

International Conference on Computer Vision, pp.6391-6400, (2019)

Cited by79EIBibtex

Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections

Dhruv Mahajan, Tania Banerjee,Anand Rangarajan, Nithin Agarwal,Jeremy Dilmore, Emmanuel Posadas,Sanjay Ranka

(2019): 138-147

EIBibtex

Billion-scale semi-supervised learning for image classification

I. Zeki Yalniz,Hervé Jégou,Kan Chen, Manohar Paluri,Dhruv Mahajan

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

Large-scale weakly-supervised pre-training for video action recognition

Deepti Ghadiyaram, Matt Feiszli,Du Tran, Xueting Yan,Heng Wang,Dhruv Mahajan

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

Activity Driven Weakly Supervised Object Detection

Zhenheng Yang,Dhruv Mahajan,Deepti Ghadiyaram,Ram Nevatia,Vignesh Ramanathan

CVPR, (2019): 2917-2926

Cited by5EIBibtex

Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search

Abhimanyu Dubey,Laurens van der Maaten,Zeki Yalniz,Yixuan Li,Dhruv Mahajan

CVPR, (2019): 8767-8776

Cited by14EIBibtex

Distributed Newton Methods for Deep Neural Networks

Chien-Chih Wang, Kent Loong Tan,Chun-Ting Chen, Yu-Hsiang Lin,S. Sathiya Keerthi,Dhruv Mahajan,S. Sundararajan,Chih-Jen Lin

Neural Computation, no. 6 (2018): 1673-1724

Cited by8EIWOSBibtex

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