Arun Sacheti

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 24 citations into it
• Multimodal Learning — 18 citations into it

Whom Arun Sacheti trusts overall

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

1. Kaiming He

Papers from Arun Sacheti's perspective

Ordered by how strongly the researchers Arun Sacheti 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. Attention is All you Need (Neural Information Processing Systems)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Going deeper with convolutions
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data (2020) — 280 citations