Tausif Diwan

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 Tausif Diwan 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. Tsung-Yi Lin
6. Karen Simonyan
7. Alex Krizhevsky
8. Yoshua Bengio
9. Pedro F. Felzenszwalb
10. Yann LeCun

Papers from Tausif Diwan's perspective

Ordered by how strongly the researchers Tausif Diwan 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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