Search Results for author: Chandrasekhar Bhagavatula

Found 2 papers, 0 papers with code

Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses

no code implementations ICCV 2017 Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides

We present our novel approach to simultaneously extract the 3D shape of the face and the semantically consistent 2D alignment through a 3D Spatial Transformer Network (3DSTN) to model both the camera projection matrix and the warping parameters of a 3D model.

Face Alignment

Towards a Deep Learning Framework for Unconstrained Face Detection

no code implementations16 Dec 2016 Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides

Robust face detection is one of the most important pre-processing steps to support facial expression analysis, facial landmarking, face recognition, pose estimation, building of 3D facial models, etc.

Face Detection Face Recognition +2

Cannot find the paper you are looking for? You can Submit a new open access paper.