Vignesh Ramanathan

Vignesh is a research scientist on the Computer Vision team in Applied Machine Learning. Before joining Facebook, he obtained his PhD at Stanford University. Vignesh's advisor was Fei-Fei Li.

Vignesh's Publications

May 21, 2020

RESEARCH

ML APPLICATIONS

Exploring the Limits of Weakly Supervised Pretraining

State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. ImageNet classification is the defacto pretraining task for these models. Yet, ImageNet is now nearly ten years old and is by modern standards…

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li Ashwin Bharambe, Laurens van der Maaten

May 21, 2020

May 21, 2020

RESEARCH

ML APPLICATIONS

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets

The ability to capture temporal information has been critical to the development of video understanding models. While there have been numerous attempts at modeling motion in videos, an explicit analysis of the effect of temporal information…

De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles

May 21, 2020