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ORCIDDhruv Mahajan 0001
Dhruv Kumar Mahajan
Person information
- affiliation: Facebook AI
Other persons with the same name
- Dhruv Mahajan 0002 — University of Florida, Gainesville, FL, USA
- Dhruv Mahajan 0003 — Vellore Institute of Technology, School of Electrical Engineering, India
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2020 – today
- 2024
[i34]Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024)- 2023
- [c34]Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR 2023: 6967-6977 - [c33]Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan:
PACO: Parts and Attributes of Common Objects. CVPR 2023: 7141-7151 - [i33]Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan:
PACO: Parts and Attributes of Common Objects. CoRR abs/2301.01795 (2023) - [i32]Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR abs/2301.02280 (2023) - [i31]Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh:
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR abs/2309.15807 (2023) - [i30]Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan:
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR abs/2311.10794 (2023) - [i29]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. CoRR abs/2312.03584 (2023) - 2022
- [c32]Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten:
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CVPR 2022: 794-804 - [c31]Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram:
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. ECCV (12) 2022: 261-279 - [c30]Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan:
Scalable Interpretability via Polynomials. NeurIPS 2022 - [c29]Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan:
Neural Basis Models for Interpretability. NeurIPS 2022 - [i28]Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten:
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CoRR abs/2201.08371 (2022) - [i27]Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram:
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. CoRR abs/2203.12892 (2022) - [i26]Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan:
Scalable Interpretability via Polynomials. CoRR abs/2205.14108 (2022) - [i25]Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan:
Neural Basis Models for Interpretability. CoRR abs/2205.14120 (2022) - 2021
- [c28]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR 2021: 13968-13978 - [c27]Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan:
Adaptive Methods for Real-World Domain Generalization. CVPR 2021: 14340-14349 - [c26]Vignesh Ramanathan, Rui Wang, Dhruv Mahajan:
PreDet: Large-scale weakly supervised pre-training for detection. ICCV 2021: 2845-2855 - [i24]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR abs/2103.12886 (2021) - [i23]Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan:
Adaptive Methods for Real-World Domain Generalization. CoRR abs/2103.15796 (2021) - [i22]Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan:
Large-Scale Attribute-Object Compositions. CoRR abs/2105.11373 (2021) - [i21]Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey:
Adaptive Methods for Aggregated Domain Generalization. CoRR abs/2112.04766 (2021) - 2020
- [c25]Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik:
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. CVPR 2020: 3572-3582 - [c24]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CVPR 2020: 6508-6517 - [c23]Vignesh Ramanathan, Rui Wang, Dhruv Mahajan:
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. CVPR 2020: 9339-9349 - [c22]Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram:
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CVPR 2020: 11067-11075 - [c21]Rui Wang, Dhruv Mahajan, Vignesh Ramanathan:
What Leads to Generalization of Object Proposals? ECCV Workshops (2) 2020: 464-478 - [c20]Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran:
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. NeurIPS 2020 - [i20]Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram:
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR abs/2001.03152 (2020) - [i19]Rui Wang
, Dhruv Mahajan, Vignesh Ramanathan:
What leads to generalization of object proposals? CoRR abs/2008.05700 (2020)
2010 – 2019
- 2019
- [c19]Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan:
Activity Driven Weakly Supervised Object Detection. CVPR 2019: 2917-2926 - [c18]Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. CVPR 2019: 8767-8776 - [c17]Deepti Ghadiyaram, Du Tran, Dhruv Mahajan:
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. CVPR 2019: 12046-12055 - [c16]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. ICCV 2019: 6390-6399 - [i18]Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. CoRR abs/1903.01612 (2019) - [i17]Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan:
Activity Driven Weakly Supervised Object Detection. CoRR abs/1904.01665 (2019) - [i16]I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan:
Billion-scale semi-supervised learning for image classification. CoRR abs/1905.00546 (2019) - [i15]Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan:
Large-scale weakly-supervised pre-training for video action recognition. CoRR abs/1905.00561 (2019) - [i14]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. CoRR abs/1905.01235 (2019) - [i13]Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran:
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. CoRR abs/1911.12667 (2019) - [i12]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CoRR abs/1912.03330 (2019) - [i11]Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik:
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. CoRR abs/1912.10088 (2019) - [i10]Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim:
Measuring Dataset Granularity. CoRR abs/1912.10154 (2019) - 2018
- [j10]Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Léon Bottou:
An efficient distributed learning algorithm based on effective local functional approximations. J. Mach. Learn. Res. 19: 74:1-74:37 (2018) - [j9]Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin:
Distributed Newton Methods for Deep Neural Networks. Neural Comput. 30(6) (2018) - [c15]Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer:
Batch-Expansion Training: An Efficient Optimization Framework. AISTATS 2018: 736-744 - [c14]De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles:
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR 2018: 7366-7375 - [c13]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) 2018: 185-201 - [i9]Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin:
Distributed Newton Methods for Deep Neural Networks. CoRR abs/1802.00130 (2018) - [i8]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. CoRR abs/1805.00932 (2018) - 2017
- [j8]Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy:
Towards Geo-Distributed Machine Learning. IEEE Data Eng. Bull. 40(4): 41-59 (2017) - [j7]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan:
A distributed block coordinate descent method for training l1 regularized linear classifiers. J. Mach. Learn. Res. 18: 91:1-91:35 (2017) - [c12]Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh:
Gradient Boosted Decision Trees for High Dimensional Sparse Output. ICML 2017: 3182-3190 - [i7]Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer:
Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning. CoRR abs/1704.06731 (2017) - [i6]Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi:
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles. CoRR abs/1711.05482 (2017) - 2016
- [c11]Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke:
Hashtag Recommendation for Enterprise Applications. CIKM 2016: 893-902 - [i5]Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola:
Towards Geo-Distributed Machine Learning. CoRR abs/1603.09035 (2016) - 2014
- [c10]Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal:
Cluster Canonical Correlation Analysis. AISTATS 2014: 823-831 - [i4]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan:
A Distributed Algorithm for Training Nonlinear Kernel Machines. CoRR abs/1405.4543 (2014) - [i3]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan:
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers. CoRR abs/1405.4544 (2014) - 2013
- [i2]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou:
A Functional Approximation Based Distributed Learning Algorithm. CoRR abs/1310.8418 (2013) - [i1]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou:
A Parallel SGD method with Strong Convergence. CoRR abs/1311.0636 (2013) - 2012
- [c9]Dhruv Kumar Mahajan, Rajeev Rastogi, Charu Tiwari, Adway Mitra:
LogUCB: an explore-exploit algorithm for comments recommendation. CIKM 2012: 6-15 - [c8]Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair:
Learning hierarchical similarity metrics. CVPR 2012: 2280-2287 - [c7]Dhruv Mahajan, Sundararajan Sellamanickam, Subhajit Sanyal, Amit Madaan:
A Classification Based Framework for Concept Summarization. ICDM 2012: 1008-1013 - [c6]Vinod Nair, Dhruv Kumar Mahajan, Sundararajan Sellamanickam:
A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. WWW 2012: 929-938 - 2011
- [c5]Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair:
A joint learning framework for attribute models and object descriptions. ICCV 2011: 1227-1234 - [c4]Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Subhajit Sanyal, Amit Madaan:
A classification based framework for concept summarization. WWW (Companion Volume) 2011: 83-84 - 2010
- [c3]Dhruv Kumar Mahajan, Malcolm Slaney:
Image classification using the web graph. ACM Multimedia 2010: 991-994
2000 – 2009
- 2009
- [j6]Pieter Peers, Dhruv Mahajan, Bruce Lamond, Abhijeet Ghosh, Wojciech Matusik, Ravi Ramamoorthi, Paul E. Debevec:
Compressive light transport sensing. ACM Trans. Graph. 28(1): 3:1-3:18 (2009) - [j5]Dhruv Mahajan, Fu-Chung Huang, Wojciech Matusik, Ravi Ramamoorthi, Peter N. Belhumeur:
Moving gradients: a path-based method for plausible image interpolation. ACM Trans. Graph. 28(3): 42 (2009) - 2008
- [j4]Dhruv Mahajan, Yu-Ting Tseng, Ravi Ramamoorthi:
An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting. Comput. Graph. Forum 27(4): 1137-1145 (2008) - [j3]Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless:
A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 197-213 (2008) - 2007
- [j2]Ravi Ramamoorthi, Dhruv Mahajan, Peter N. Belhumeur:
A first-order analysis of lighting, shading, and shadows. ACM Trans. Graph. 26(1): 2 (2007) - [j1]Dhruv Mahajan, Ira Kemelmacher-Shlizerman, Ravi Ramamoorthi, Peter N. Belhumeur:
A theory of locally low dimensional light transport. ACM Trans. Graph. 26(3): 62 (2007) - 2006
- [c2]Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless:
A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency. ECCV (4) 2006: 41-55 - 2004
- [c1]Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee:
A Framework for Activity Recognition and Detection of Unusual Activities. ICVGIP 2004: 15-21
Coauthor Index
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