Shubhashis Sengupta

Computer Vision and Pattern Recognition · 2022

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 — 20 citations into it
• Artificial Intelligence — 17 citations into it
• Multimodal Learning — 12 citations into it

Whom Shubhashis Sengupta trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He

Papers from Shubhashis Sengupta's perspective

Ordered by how strongly the researchers Shubhashis Sengupta trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Microsoft COCO: Common Objects in Context
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Layer Normalization
10. ImageNet: A large-scale hierarchical image database

Their papers

• COFAR: Commonsense and Factual Reasoning in Image Search (2022) — 4 citations