David Eigen

7 papers · 2013–2019 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) 🚀 Conference Pioneer

Conferences

ICCV (3) CVPR (2) AAAI (1) NIPS (1)

Top co-authors

Rob Fergus (4) Dilip Krishnan (1) Samuel Dodge (1) Hongyang Li (1) Amir Erfan Eshratifar (1) Mohammad Saeed Abrishami (1) Yann LeCun (1) Matthew Zeiler (1) Joan Bruna (1) Li Wan (1)

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