David Eigen
7 papers · 2013–2019 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π
Conference Pioneer
Conferences
ICCV (3)
CVPR (2)
AAAI (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(3)
scene understanding
(2)
metric learning
(2)
depth prediction
(2)
few-shot learning
(2)
image restoration
(1)
transfer learning
(1)
multi-task learning
(1)
unsupervised feature learning
(1)
convolutional network
(1)
depth estimation
(1)
3d vision
(1)
monocular depth estimation
(1)
surface normal estimation
(1)
object detection
(1)
artifact removal
(1)
semantic labeling
(1)
task generalization
(1)
structured prediction
(1)
feature learning
(1)
Papers
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
CVPR 2019
A Meta-Learning Approach for Custom Model Training
AAAI 2019
End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression
CVPR 2015
Predicting Depth, Surface Normals and Semantic Labels With a Common Multi-Scale Convolutional Architecture
ICCV 2015
Unsupervised Learning of Spatiotemporally Coherent Metrics
ICCV 2015
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
NIPS 2014
Restoring an Image Taken through a Window Covered with Dirt or Rain
ICCV 2013