Siddhartha Sen

Computer Vision and Pattern Recognition · with Bird · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siddhartha Sen trusts overall

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

  1. Ross B. Girshick
  2. Jonas Mockus

Papers from Siddhartha Sen's perspective

Ordered by how strongly the researchers Siddhartha Sen 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. Reinforcement Learning: An Introduction
  3. Fast R-CNN
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors

Their papers