Eigen, David

11 publications

AAAI 2019 A Meta-Learning Approach for Custom Model Training Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram

CVPR 2015 End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression Li Wan, David Eigen, Rob Fergus

ICCV 2015 Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen, Rob Fergus

ICLR 2015 Unsupervised Feature Learning from Temporal Data Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

ICCV 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

NeurIPS 2014 Depth mAP Prediction from a Single Image Using a Multi-Scale Deep Network David Eigen, Christian Puhrsch, Rob Fergus

ICLR 2014 Learning Factored Representations in a Deep Mixture of Experts David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever

ICLR 2014 OverFeat: Integrated Recognition, Localization and Detection Using Convolutional Networks Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun

ICLR 2014 Understanding Deep Architectures Using a Recursive Convolutional Network David Eigen, Jason Tyler Rolfe, Rob Fergus, Yann LeCun

ICCV 2013 Restoring an Image Taken Through a Window Covered with Dirt or Rain David Eigen, Dilip Krishnan, Rob Fergus

CVPR 2012 Nonparametric Image Parsing Using Adaptive Neighbor Sets David Eigen, Rob Fergus