Christine Allen-Blanchette

Logo

CV

About

Reading group

Course materials

Hosted on GitHub Pages — Theme by orderedlist

I am a machine learning researcher and part of the inaugural class of Presidential Postdoctoral Fellows at Princeton University where I am mentored by Naomi Leonard. I completed my PhD in Computer Science and Master’s in Robotics at the University of Pennsylvania where I was supervised by Kostas Daniilidis. Prior to my graduate work, I completed Bachelor’s degrees in Mechanical Engineering and Computer Engineering at San Jose State University.

My research interests lie at the intersection of deep learning, geometry and dynamical systems.

Publications

Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis, Equivariant Multi-View Networks, ICCV 2019 (Oral)

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis, Learning SO(3) Equivariant Representations with Spherical CNNs, ECCV 2018 (Oral)

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis, Polar Transformer Networks, ICLR 2018

Spyridon Leonardos, Christine Allen-Blanchette, Jean Gallier, The exponential map for the group of similarity transformations and applications to motion interpolation, ICRA 2015

Contact

Email: ca15 [at] princeton.edu