Pranav Agarwal

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Natural Language Processing — 13 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Pranav Agarwal trusts overall

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

1. Chin-Yew Lin
2. Tomas Mikolov
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Tsung-Yi Lin
7. Alex Krizhevsky
8. Kaiming He
9. Diederik P. Kingma
10. Jimmy Ba

Who trusts Pranav Agarwal overall

1. Andy Zeng

Papers from Pranav Agarwal's perspective

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

Their papers

• Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models (2020) — 12 citations
• Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis (2025)