Edgar Sucar

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Edgar Sucar trusts overall

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

  1. Richard A. Newcombe
  2. Diederik P. Kingma
  3. Georg S. W. Klein
  4. Brian Curless
  5. Raul Mur-Artal
  6. Thomas Whelan
  7. Jimmy Ba
  8. Thomas Schöps
  9. Ben Mildenhall
  10. Jürgen Sturm

Who trusts Edgar Sucar overall

  1. Zachary Teed
  2. Antoni Rosinol
  3. Vincent Sitzmann
  4. Hidenobu Matsuki
  5. Zehao Yu
  6. Kyle Gao
  7. Songyou Peng
  8. Xingrui Yang
  9. Nikhil Varma Keetha
  10. Konstantinos Rematas

Papers from Edgar Sucar's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers