Deepti Ghadiyaram
Menlo Park, United States
Deepti is a research scientist at Facebook AI Applied Research (FAIAR), with a focus on computer vision and machine learning. Specifically, she works on problems pertaining to responsible and fair computer vision models, image and video understanding, and perceptual image and video quality assessment. She earned her Ph.D. in computer science from the University of Texas at Austin in 2017.
Research Areas
Deepti's Publications
June 14, 2020
RESEARCH
COMPUTER VISION
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
June 14, 2020
May 19, 2020
RESEARCH
COMPUTER VISION
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
May 19, 2020
June 16, 2020
COMPUTER VISION
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
June 16, 2020
May 01, 2019
RESEARCH
COMPUTER VISION
Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Hen Wang, Dhruv Mahajan
May 01, 2019
