Abhinav Dhall

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Abhinav Dhall trusts overall

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

  1. Florian Eyben
  2. Björn Schuller
  3. Chih-Jen Lin
  4. Navneet Dalal
  5. Paul A. Viola
  6. Anna Bosch
  7. Michel François Valstar
  8. Xiangxin Zhu
  9. Maja Pantic
  10. Xuehan Xiong

Who trusts Abhinav Dhall overall

  1. Shan Li
  2. Hongwei Ng
  3. Gil Levi
  4. Ali Mollahosseini
  5. Pablo V. A. Barros
  6. Weihong Deng
  7. Jiyoung Lee
  8. Yong Li
  9. Shiguang Shan
  10. Viet Dung Nguyen

Papers from Abhinav Dhall's perspective

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

Their papers