Yongtian Wang

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongtian Wang trusts

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

  1. Rob Fergus (in Computer Vision and Pattern Recognition)
  2. Abhinav Kumar Gupta (in Computer Vision and Pattern Recognition)
  3. Trevor Darrell (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Kaiming He (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Thomas A. Funkhouser (in Computer Vision and Pattern Recognition)
  10. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Yongtian Wang's perspective

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

  1. Fully convolutional networks for semantic segmentation
  2. Indoor Segmentation and Support Inference from RGBD Images
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
  6. Learning Rich Features from RGB-D Images for Object Detection and Segmentation
  7. Matterport3D: Learning from RGB-D Data in Indoor Environments
  8. Gradient-based learning applied to document recognition
  9. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
  10. ImageNet: A large-scale hierarchical image database

Their papers