David Eigen

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 11

Top Topics

Convolutional Network

Systematic Errors

Embedding Space

Deep Architectures

Top Venues

ICLR (Workshop Poster)

Publications

Constance Dubois, David Eigen, François Simon, Vincent Couloigner, Michael Gormish, Martin Chalumeau, Laurent Schmoll, Jérémie F. Cohen
Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images. npj Digit. Medicine 7 (1) (2024)
Michael J. Bianco, David Eigen, Michael Gormish
Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors. CoRR (2024)
Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
Coarse2Fine: a two-stage training method for fine-grained visual classification. Mach. Vis. Appl. 32 (2) (2021)
Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED (2020)
Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR (2020)
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
A Meta-Learning Approach for Custom Model Training. AAAI (2019)
Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification. CoRR (2019)
Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CVPR (2019)
Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CoRR (2019)
Amir Erfan Eshratifar, David Eigen, Massoud Pedram
Gradient Agreement as an Optimization Objective for Meta-Learning. CoRR (2018)
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
A Meta-Learning Approach for Custom Model Training. CoRR (2018)
Li Wan, David Eigen, Rob Fergus
End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression. CVPR (2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) (2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV (2015)
David Eigen, Rob Fergus
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture. ICCV (2015)
David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
Learning Factored Representations in a Deep Mixture of Experts. ICLR (Workshop Poster) (2014)
Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. ICLR (2014)
David Eigen, Christian Puhrsch, Rob Fergus
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. NIPS (2014)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR (2014)
David Eigen, Christian Puhrsch, Rob Fergus
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. CoRR (2014)
Li Wan, David Eigen, Rob Fergus
End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression. CoRR (2014)
David Eigen, Jason Tyler Rolfe, Rob Fergus, Yann LeCun
Understanding Deep Architectures using a Recursive Convolutional Network. ICLR (Workshop Poster) (2014)
David Eigen, Rob Fergus
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture. CoRR (2014)
David Eigen, Dilip Krishnan, Rob Fergus
Restoring an Image Taken through a Window Covered with Dirt or Rain. ICCV (2013)
David Eigen, Rob Fergus
Nonparametric image parsing using adaptive neighbor sets. CVPR (2012)
David Eigen, Daniel H. Grollman, David H. Laidlaw, Benjamin D. Greenberg, Erin Einbinder
Visualizing deep brain stimulation settings in obsessive compulsive disorder. SIGGRAPH Posters (2004)