Interests
Computer vision, large scale and distributed machine learning, and extreme classification (with large number of labels)
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Latest Publications
CVPR - June 18, 2020
DLWL: Improving Detection for Lowshot classes with Weakly Labelled data
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
CVPR - June 16, 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
CVPR - June 14, 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 - May 19, 2020
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
ICCV - October 27, 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
CVPR - May 1, 2019
Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Hen Wang, Dhruv Mahajan
CVPR 2018 - June 18, 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
ArXiv - May 2, 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
Latest News
May 2, 2018