Ning Zhang

Research Scientist
Snapchat Inc., Venice, CA
Email: ning.zhang@snapchat.com

CV Google Scholar

About Me

I am currently a research scientist at Snapchat working on research projects about computer vision and deep learning. I have finished my Ph.D. in Computer Science at UC Berkeley in 2015, advised by Professor Trevor Darrell.

My research focuses on computer vision and machine learning. In particular, my Ph.D. thesis is about fine-grained categorization. Before coming to US, I graduated from Tsinghua University with a B.S. in Computer Science in June 2010, working with Professor Jie Tang. I have spent summers at Facebook AI Research, working with Dr. Lubomir Bourdev.

We are hiring at Snapchat, please email me if you are interested in a research scientist or research engineer position.

News

Preprints

Fine-grained pose prediction, normalization, and recognition

Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell.
arXiv

Compact Bilinear Pooling

Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell.
arXiv

Selected Publications

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

Ning Zhang, Manohar Paluri, Yaniv Tagiman, Rob Fergus, Lubomir Bourdev.
Computer Vision and Pattern Recognition (CVPR), 2015
PDF arXiv Project page



Do Convnets Learn Correspondence?

Jonathan Long, Ning Zhang, Trevor Darrell.
Neural Information Processing Systems Foundation (NIPS), 2014
arXiv



Part-based R-CNNs for Fine-grained Category Detection.

Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell.
European Conference on Computer Vision (ECCV), 2014 (Oral)
PDF Slides Poster Code



PANDA: Pose Aligned Networks for Deep Attribute Modeling.

Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev.
Computer Vision and Pattern Recognition (CVPR), 2014 (Oral)
PDF Code Slides Arxiv




Open-vocabulary Object Retrieval

Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell.
Robotics Science and Systems (RSS), 2014
PDF




DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell.
International Conference on Machine Learning (ICML), 2014
PDF Arxiv




Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction

Ning Zhang, Ryan Farrell, Forrest Iandola, Trevor Darrell.
International Conference on Computer Vision (ICCV), 2013
PDF Matlab Code Poster



Pose Pooling Kernels for Sub-category Recognition

Ning Zhang, Ryan Farrell, Trevor Darrell.
Computer Vision and Pattern Recognition (CVPR), 2012
PDF



Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance.

Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis.
International Conference on Computer Vision (ICCV), 2011 (Oral)
PDF




Teaching

Head of Graduate Student Instructor, UC Berkeley (Spring 2014)
CS 189: Introduction to Machine Learning

Graduate Student Instructor, UC Berkeley (Fall 2013)
CS 188: Introduction to Aritificial Intelligence