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David Eigen

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedDepth Map Prediction from a Single Image using a Multi-Scale Deep Network

1.8k citations · 1.8k across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2014★ 3 cited

End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression

Li Wan, David Eigen, Rob Fergus

Deformable Parts Models and Convolutional Networks each have achieved notable performance in object detection. Yet these two approaches find their strengths in complementary areas:…

cs.CV2014★ 1.8k cited

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

David Eigen, Christian Puhrsch, Rob Fergus

Predicting depth is an essential component in understanding the 3D geometry of a scene. While for stereo images local correspondence suffices for estimation, finding depth relation…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.