Srikar Appalaraju
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 292 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 99 citations into it
- Artificial Intelligence — 83 citations into it
- Multimodal Learning — 35 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Natural Language Processing — 20 citations into it
- Optimization & Training — 5 citations into it
Whom Srikar Appalaraju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Karen Simonyan
- Christian Szegedy
Who trusts Srikar Appalaraju overall
Papers from Srikar Appalaraju's perspective
Ordered by how strongly the researchers Srikar Appalaraju trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DocFormer: End-to-End Transformer for Document Understanding (2021) — 414 citations
- LaTr: Layout-Aware Transformer for Scene-Text VQA (2021) — 121 citations
- Towards Good Practices in Self-supervised Representation Learning (2020) — 23 citations