Milan Deepak Parmar

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 12 citations into it

Whom Milan Deepak Parmar trusts overall

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

1. Ross B. Girshick
2. Christian Szegedy
3. Kaiming He
4. Alex Krizhevsky
5. Sergey Ioffe

Papers from Milan Deepak Parmar's perspective

Ordered by how strongly the researchers Milan Deepak Parmar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Microsoft COCO: Common Objects in Context
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A review of convolutional neural networks in computer vision (2024) — 1,002 citations