Pranay Mukherjee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Multimodal Learning — 5 citations into it

Whom Pranay Mukherjee trusts overall

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

1. Geoffrey E. Hinton
2. Jimmy Ba
3. Alex Krizhevsky
4. Yusuf Aytar
5. Karen Simonyan
6. Antonio Torralba
7. Oriol Vinyals
8. Ilya Sutskever
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Pranay Mukherjee overall

1. Jianping Gou
2. Baosheng Yu

Papers from Pranay Mukherjee's perspective

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

Their papers

• Cogni-Net: Cognitive Feature Learning Through Deep Visual Perception (2018) — 19 citations