Arjun Reddy Akula

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 186 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Artificial Intelligence — 49 citations into it
• Natural Language Processing — 15 citations into it

Whom Arjun Reddy Akula trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Christopher D. Manning
8. Yann LeCun
9. Tsung-Yi Lin
10. Ross B. Girshick

Papers from Arjun Reddy Akula's perspective

Ordered by how strongly the researchers Arjun Reddy Akula 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis (2022) — 441 citations
• Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions (2020) — 62 citations
• LayoutGPT: Compositional Visual Planning and Generation with Large Language Models (2023) — 405 citations