Kriti Aggarwal

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 189 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 170 citations into it
• Artificial Intelligence — 146 citations into it
• Multimodal Learning — 86 citations into it
• Natural Language Processing — 42 citations into it

Whom Kriti Aggarwal trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Jia Deng
10. Karen Simonyan

Papers from Kriti Aggarwal's perspective

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

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

Their papers

• Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks (2022) — 724 citations
• Language Is Not All You Need: Aligning Perception with Language Models (2023) — 786 citations
• Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks (2023) — 533 citations