| 2025 | WACV | Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors. | Michael J. Bianco, David Eigen, Michael Gormish |
| 2019 | AAAI | A Meta-Learning Approach for Custom Model Training. | Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram |
| 2019 | CVPR | Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. | Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang |
| 2015 | CVPR | End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression. | Li Wan, David Eigen, Rob Fergus |
| 2015 | ICCV | Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture. | David Eigen, Rob Fergus |
| 2015 | ICCV | Unsupervised Learning of Spatiotemporally Coherent Metrics. | Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun |
| 2013 | ICCV | Restoring an Image Taken through a Window Covered with Dirt or Rain. | David Eigen, Dilip Krishnan, Rob Fergus |
| 2012 | CVPR | Nonparametric image parsing using adaptive neighbor sets. | David Eigen, Rob Fergus |
| 2004 | SIGGRAPH | Visualizing deep brain stimulation settings in obsessive compulsive disorder. | David Eigen, Daniel H. Grollman, David H. Laidlaw, Benjamin D. Greenberg, Erin Einbinder |