Aditya Prasad

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 20 citations into it

Whom Aditya Prasad trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Piotr Doll'ar
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Tsung-Yi Lin
8. Yann LeCun
9. Navneet Dalal
10. Yoshua Bengio

Papers from Aditya Prasad's perspective

Ordered by how strongly the researchers Aditya Prasad 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised Hard Example Mining from Videos for Improved Object Detection (2018) — 69 citations