R. Vencu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom R. Vencu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Xiaohua Zhai
  10. Alec Radford

Who trusts R. Vencu overall

  1. Junnan Li
  2. Jing Yu Koh
  3. Dongxu Li
  4. Bo Li
  5. Yuxin Fang
  6. Srivatsa Kundurthy
  7. Wenhu Chen
  8. Quan-Sen Sun
  9. Renrui Zhang
  10. Haotian Liu

Papers from R. Vencu's perspective

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

Their papers