Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel, Bernard Ghanem, Bruno Korbar
People
Dhruv Mahajan
Research Scientist
I am a research scientist on the Computer Vision team, which is part of Applied Machine Learning. I joined Facebook Research in January 2017. Prior to joining Facebook, I worked at Microsoft, MSR India and Yahoo! Research. My research interests lie in computer vision and large scale and distributed machine learning. In computer vision, I am interested in extreme classification and ranking problems with huge scale both in terms of number of data points and labels and video understanding. I am also interested in new and efficient distributed optimization algorithms respecting system constraints like communication and machine failures.
Interests
Computer vision, large scale and distributed machine learning, and extreme classification (with large number of labels)
Latest Publications
NeurIPS
What leads to generalization of object proposals?
Vignesh Ramanathan, Rui Wang
DLWL: Improving Detection for Lowshot classes with Weakly Labelled data
Vignesh Ramanathan, Rui Wang
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
Alan Bovik, Deepti Ghadiyaram, Praful Gupta, Haoran Niu, Zhenqiang Ying
Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias
Matt Feiszli, Deepti Ghadiyaram, Kristen Grauman, Yong Jae Lee, Krishna Kumar Singh
Cluster and Re-Learn: Improving Generalization of Visual Representations
Deepti Ghadiyaram, Abhinav Gupta, Ishan Misra, Xueting Yan
