Tucker R. Balch

Artificial Intelligence · 1995–2005

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Tucker R. Balch trusts overall

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

  1. Peter J. Green
  2. Neil J. Gordon
  3. Michael Isard
  4. John MacCormick
  5. Arnaud Doucet
  6. Walter R. Gilks
  7. Christopher Rasmussen
  8. Cristian Sminchisescu
  9. Tao Zhao
  10. Dirk Schulz

Who trusts Tucker R. Balch overall

  1. Lynne E. Parker
  2. Sameera Poduri
  3. Wongun Choi
  4. Junseok Kwon
  5. Javier Alonso-Mora
  6. Laura E. Barnes
  7. G. Sukhatme
  8. Howie Choset
  9. Jorge Cortés
  10. Saad M. Khan

Papers from Tucker R. Balch's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)

Their papers