T. Simon

Computer Vision and Pattern Recognition · with Agrawala · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Simon 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)

Papers from T. Simon's perspective

Ordered by how strongly the researchers T. Simon 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. Attention is All you Need (Neural Information Processing Systems)
  3. GENERATIVE ADVERSARIAL NETS
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  7. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
  8. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
  9. Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  10. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Their papers