Aditya Prakash

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 194 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #6,886 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 32 citations into it
• Aerospace Engineering — 30 citations into it
• Automotive Engineering — 22 citations into it; #280 of 3,081 by trust here, #1,346 by citations
• Evaluation & Benchmarks — 14 citations into it
• Model Architectures — 7 citations into it
• Social Psychology — 6 citations into it

Whom Aditya Prakash trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ross B. Girshick
8. Ming Liang
9. Alexey Dosovitskiy
10. Jia Deng

Who trusts Aditya Prakash overall

1. Hao Shao
2. Daniel Dauner
3. Li Chen
4. Kashyap Chitta
5. Peng Wu
6. Marcel Hallgarten
7. Letian Wang
8. Xianping Ma
9. Andreas Geiger
10. Huayao Liu

Papers from Aditya Prakash's perspective

Ordered by how strongly the researchers Aditya Prakash 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Multi-Modal Fusion Transformer for End-to-End Autonomous Driving (2021) — 750 citations
• TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving (2022) — 755 citations