Dhruv Mahajan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 58

Top Topics

Visual Representation

Weakly Supervised

Top Venues

Publications

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 (2024)
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 (2023)
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 (2023)
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
Context Diffusion: In-Context Aware Image Generation. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. ECCV (12) (2022)
Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Neural Basis Models for Interpretability. CoRR (2022)
Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Neural Basis Models for Interpretability. NeurIPS (2022)
Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
Scalable Interpretability via Polynomials. NeurIPS (2022)
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 (2022)
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)
Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. CoRR (2022)
Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
Scalable Interpretability via Polynomials. CoRR (2022)
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
Adaptive Methods for Real-World Domain Generalization. CoRR (2021)
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR (2021)
Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey
Adaptive Methods for Aggregated Domain Generalization. CoRR (2021)
Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara Berg, Dhruv Mahajan
Large-Scale Attribute-Object Compositions. CoRR (2021)
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
Adaptive Methods for Real-World Domain Generalization. CVPR (2021)
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
PreDet: Large-scale weakly supervised pre-training for detection. ICCV (2021)
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR (2021)
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
ClusterFit: Improving Generalization of Visual Representations. CVPR (2020)
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
What leads to generalization of object proposals? CoRR (2020)
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)
Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. NeurIPS (2020)
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
What Leads to Generalization of Object Proposals? ECCV Workshops (2) (2020)
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. CVPR (2020)
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)
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 (2020)
Deepti Ghadiyaram, Du Tran, Dhruv Mahajan
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. CVPR (2019)
I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan
Billion-scale semi-supervised learning for image classification. CoRR (2019)
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. CVPR (2019)
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
Scaling and Benchmarking Self-Supervised Visual Representation Learning. CoRR (2019)
Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim
Measuring Dataset Granularity. CoRR (2019)
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
ClusterFit: Improving Generalization of Visual Representations. CoRR (2019)
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
Activity Driven Weakly Supervised Object Detection. CoRR (2019)
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. CoRR (2019)
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan
Large-scale weakly-supervised pre-training for video action recognition. CoRR (2019)
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
Scaling and Benchmarking Self-Supervised Visual Representation Learning. ICCV (2019)
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 (2019)
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
Activity Driven Weakly Supervised Object Detection. CVPR (2019)
Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. CoRR (2019)
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 (2018)
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 (2018)
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)
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer
Batch-Expansion Training: An Efficient Optimization Framework. AISTATS (2018)
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)
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)
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 (2018)
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 (2017)
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer
Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning. CoRR (2017)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A distributed block coordinate descent method for training l1 regularized linear classifiers. J. Mach. Learn. Res. 18 (2017)
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy
Towards Geo-Distributed Machine Learning. IEEE Data Eng. Bull. 40 (4) (2017)
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)
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola
Towards Geo-Distributed Machine Learning. CoRR (2016)
Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke
Hashtag Recommendation for Enterprise Applications. CIKM (2016)
Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal
Cluster Canonical Correlation Analysis. AISTATS (2014)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers. CoRR (2014)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A Distributed Algorithm for Training Nonlinear Kernel Machines. CoRR (2014)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
A Parallel SGD method with Strong Convergence. CoRR (2013)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
A Functional Approximation Based Distributed Learning Algorithm. CoRR (2013)
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair
Learning hierarchical similarity metrics. CVPR (2012)
Dhruv Mahajan, Sundararajan Sellamanickam, Subhajit Sanyal, Amit Madaan
A Classification Based Framework for Concept Summarization. ICDM (2012)
Pieter Peers, Dhruv Mahajan, Bruce Lamond, Abhijeet Ghosh, Wojciech Matusik, Ravi Ramamoorthi, Paul E. Debevec
Compressive light transport sensing. ACM Trans. Graph. 28 (1) (2009)
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) (2009)
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) (2008)
Dhruv Mahajan, Yu-Ting Tseng, Ravi Ramamoorthi
An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting. Comput. Graph. Forum 27 (4) (2008)
Ravi Ramamoorthi, Dhruv Mahajan, Peter N. Belhumeur
A first-order analysis of lighting, shading, and shadows. ACM Trans. Graph. 26 (1) (2007)
Dhruv Mahajan, Ira Kemelmacher-Shlizerman, Ravi Ramamoorthi, Peter N. Belhumeur
A theory of locally low dimensional light transport. ACM Trans. Graph. 26 (3) (2007)
Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless
A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency. ECCV (4) (2006)
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee
A Framework for Activity Recognition and Detection of Unusual Activities. ICVGIP (2004)