David Eigen - RankMe

30 papers A* 7Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing. CoRR Baifeng Shi, Stephanie Fu, Long Lian, Hanrong Ye, David Eigen, Aaron Reite, Boyi Li, Jan Kautz, Song Han, David M. Chan, Pavlo Molchanov, Trevor Darrell, Hongxu Yin
2026	J	`jnl`	Progressive Checkerboards for Autoregressive Multiscale Image Generation. CoRR David Eigen
2025	—	`conf`	Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors. WACV (Workshops) Michael J. Bianco, David Eigen, Michael Gormish
2024	J	`jnl`	Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images. npj Digit. Medicine Constance Dubois, David Eigen, François Simon, Vincent Couloigner, Michael Gormish, Martin Chalumeau, Laurent Schmoll, Jérémie F. Cohen
2024	J	`jnl`	Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors. CoRR Michael J. Bianco, David Eigen, Michael Gormish
2021	J	`jnl`	Coarse2Fine: a two-stage training method for fine-grained visual classification. Mach. Vis. Appl. Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
2020	—	`conf`	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2020	J	`jnl`	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2019	A*	`conf`	A Meta-Learning Approach for Custom Model Training. AAAI Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
2019	J	`jnl`	Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification. CoRR Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
2019	A*	`conf`	Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CVPR Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang
2019	J	`jnl`	Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CoRR Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang
2018	J	`jnl`	A Meta-Learning Approach for Custom Model Training. CoRR Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
2018	J	`jnl`	Gradient Agreement as an Optimization Objective for Meta-Learning. CoRR Amir Erfan Eshratifar, David Eigen, Massoud Pedram
2015	A*	`conf`	End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression. CVPR Li Wan, David Eigen, Rob Fergus
2015	A*	`conf`	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture. ICCV David Eigen, Rob Fergus
2015	—	`—`	Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps. David Eigen
2015	—	`conf`	Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2015	A*	`conf`	Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2014	—	`conf`	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. NIPS David Eigen, Christian Puhrsch, Rob Fergus
2014	J	`jnl`	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. CoRR David Eigen, Christian Puhrsch, Rob Fergus
2014	J	`jnl`	End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression. CoRR Li Wan, David Eigen, Rob Fergus
2014	—	`conf`	Learning Factored Representations in a Deep Mixture of Experts. ICLR (Workshop Poster) David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
2014	—	`conf`	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. ICLR Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun
2014	J	`jnl`	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture. CoRR David Eigen, Rob Fergus
2014	—	`conf`	Understanding Deep Architectures using a Recursive Convolutional Network. ICLR (Workshop Poster) David Eigen, Jason Tyler Rolfe, Rob Fergus, Yann LeCun
2014	J	`jnl`	Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2013	A*	`conf`	Restoring an Image Taken through a Window Covered with Dirt or Rain. ICCV David Eigen, Dilip Krishnan, Rob Fergus
2012	A*	`conf`	Nonparametric image parsing using adaptive neighbor sets. CVPR David Eigen, Rob Fergus
2004	—	`conf`	Visualizing deep brain stimulation settings in obsessive compulsive disorder. SIGGRAPH Posters David Eigen, Daniel H. Grollman, David H. Laidlaw, Benjamin D. Greenberg, Erin Einbinder