Beat Muheim

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Beat Muheim trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yann LeCun (in Computer Vision and Pattern Recognition)

Papers from Beat Muheim's perspective

Ordered by how strongly the researchers Beat Muheim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  2. Microsoft COCO: Common Objects in Context
  3. Torch7: A Matlab-like Environment for Machine Learning
  4. cuDNN: Efficient Primitives for Deep Learning
  5. Learning Hierarchical Features for Scene Labeling
  6. Decomposing a scene into geometric and semantically consistent regions
  7. NeuFlow: A runtime reconfigurable dataflow processor for vision
  8. CNP: An FPGA-based processor for Convolutional Networks
  9. NeuFlow: Dataflow vision processing system-on-a-chip
  10. A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks (2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops)

Their papers