Mahajan, Dhruv

31 publications

ICLR 2025 Law of the Weakest Link: Cross Capabilities of Large Language Models Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

ECCV 2024 Context Diffusion: In-Context Aware Image Generation Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic

ECCV 2024 Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression 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 L Bearman, Dhruv Mahajan

CVPR 2023 Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan

CVPR 2023 PACO: Parts and Attributes of Common Objects 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

ECCV 2022 Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram

NeurIPS 2022 Neural Basis Models for Interpretability Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan

CVPR 2022 Revisiting Weakly Supervised Pre-Training of Visual Perception Models Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross Girshick, Piotr Dollár, Laurens van der Maaten

NeurIPS 2022 Scalable Interpretability via Polynomials Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan

CVPR 2021 Adaptive Methods for Real-World Domain Generalization Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan

ICCV 2021 PreDet: Large-Scale Weakly Supervised Pre-Training for Detection Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

CVPR 2021 Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang

CVPR 2020 ClusterFit: Improving Generalization of Visual Representations Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan

CVPR 2020 DLWL: Improving Detection for Lowshot Classes with Weakly Labelled Data Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

CVPR 2020 Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram

CVPR 2020 From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan Bovik

NeurIPS 2020 Self-Supervised Learning by Cross-Modal Audio-Video Clustering Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran

ECCVW 2020 What Leads to Generalization of Object Proposals? Rui Wang, Dhruv Mahajan, Vignesh Ramanathan

CVPR 2019 Activity Driven Weakly Supervised Object Detection Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan

CVPR 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

CVPR 2019 Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition Deepti Ghadiyaram, Du Tran, Dhruv Mahajan

ICCV 2019 Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra

JMLR 2018 An Efficient Distributed Learning Algorithm Based on Effective Local Functional Approximations Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Leon Bottou

AISTATS 2018 Batch-Expansion Training: An Efficient Optimization Framework Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer

ECCV 2018 Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

CVPR 2018 What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles

JMLR 2017 A Distributed Block Coordinate Descent Method for Training L1 Regularized Linear Classifiers Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

ICML 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh

AISTATS 2014 Cluster Canonical Correlation Analysis Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal

CVPR 2012 Learning Hierarchical Similarity Metrics Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair

ECCV 2006 A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless