Muhammed Kocabas

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 825 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammed Kocabas trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Georgios Pavlakos
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Muhammed Kocabas overall

  1. Kevin Qinghong Lin
  2. Shubham Goel
  3. Ce Zheng
  4. Pritam Sarkar
  5. Yuliang Xiu
  6. Zerong Zheng
  7. Lijuan Wang
  8. Wenjie Zhu
  9. Shih-Yang Su
  10. Ruilong Li

Papers from Muhammed Kocabas's perspective

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

Their papers