Pranav Singh Chib

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 234 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it
• Automotive Engineering — 39 citations into it
• Artificial Intelligence — 33 citations into it
• Aerospace Engineering — 18 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Robotics & Control — 10 citations into it
• Reinforcement Learning — 9 citations into it
• Control and Systems Engineering — 8 citations into it

Whom Pranav Singh Chib trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Dean A. Pomerleau
5. Karen Simonyan
6. Felipe Codevilla
7. Jangwon Lee
8. Ross B. Girshick
9. Diederik P. Kingma
10. Alexey Dosovitskiy

Papers from Pranav Singh Chib's perspective

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

Their papers

• Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey (2023) — 310 citations