Upesh Nepal

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Upesh Nepal trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. William Stafford Noble
  4. Joseph Redmon
  5. Tsung-Yi Lin
  6. Piotr Doll'ar
  7. Alex Krizhevsky
  8. Geoffrey E. Hinton
  9. Alexey Bochkovskiy
  10. Ali Farhadi

Papers from Upesh Nepal's perspective

Ordered by how strongly the researchers Upesh Nepal 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers