Limin Wang

Computer Vision and Pattern Recognition · with Wang · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Limin Wang trusts

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

  1. Jitendra Malik (in Computer Vision and Pattern Recognition)
  2. Andreas Geiger (in Computer Vision and Pattern Recognition)
  3. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Limin Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Image quality assessment: from error visibility to structural similarity
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
  6. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
  7. Attention is All you Need (Neural Information Processing Systems)
  8. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  9. Structure-from-Motion Revisited
  10. ImageNet: A large-scale hierarchical image database

Their papers