Varun Ramakrishna

2 accepted papers

2016

Convolutional Pose Machines

Shih-En Wei, Varun Ramakrishna, Takeo Kanade, Yaser Sheikh

CVPR 2016spotlight

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models. In this work we show a systematic design for how convolutional networks can be incorporated into the pose machine framework for learning image features and image-dependent spatial models for the task o…

Cited by 3968 PDF ↗code ↗Scholar ↗

2015

Predicting Multiple Structured Visual Interpretations

Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell

ICCV 2015poster

We present a simple approach for producing a small number of structured visual outputs which have high recall, for a variety of tasks including monocular pose estimation and semantic scene segmentation. Current state-of-the-art approaches learn a single model and modify inference procedures to produ…

Cited by 36 PDF ↗Scholar ↗