Prantik Howlader

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #14,046 of 21,575 by trust here, #8,296 by citations
• Artificial Intelligence — 21 citations into it; #22,746 of 35,345 by trust here, #11,921 by citations
• Safety, Robustness & Interpretability — 7 citations into it; #1,485 of 2,251 by trust here, #1,047 by citations
• Model Architectures — 6 citations into it

Whom Prantik Howlader trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky
4. Oriol Vinyals
5. Kaiming He
6. Yoshua Bengio
7. Matthew D. Zeiler
8. Yann LeCun
9. Andrew Zisserman
10. Rob Fergus

Who trusts Prantik Howlader overall

1. Gobinda Saha
2. Kaede Shiohara
3. Zizhao Zhang

Papers from Prantik Howlader's perspective

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

Their papers

• Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks (2017) — 3,283 citations