Jitendra V. Tembhurne

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 215 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 18 citations into it

Whom Jitendra V. Tembhurne trusts overall

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

1. Ross B. Girshick
2. Joseph Redmon
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Tsung-Yi Lin
8. Yoshua Bengio
9. Pedro F. Felzenszwalb
10. Yann LeCun

Papers from Jitendra V. Tembhurne's perspective

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

Their papers

• Object detection using YOLO: challenges, architectural successors, datasets and applications (2022) — 1,371 citations