Shohei Nobuhara

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shohei Nobuhara trusts

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

  1. Deva Ramanan (in Computer Vision and Pattern Recognition)
  2. Bernt Schiele (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Jitendra Malik (in Computer Vision and Pattern Recognition)

Who trusts Shohei Nobuhara

  1. Hanbyul Joo (in Computer Vision and Pattern Recognition)
  2. Yaser Sheikh (in Computer Vision and Pattern Recognition)

Papers from Shohei Nobuhara's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
  3. Convolutional Pose Machines
  4. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
  5. Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
  6. Real-time human pose recognition in parts from single depth images
  7. 3D Pictorial Structures for Multiple View Articulated Pose Estimation
  8. Articulated Human Detection with Flexible Mixtures of Parts
  9. Tracking loose-limbed people (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  10. DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Their papers