Jeya Maria Jose Valanarasu

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 529 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it; #14,693 of 21,575 by trust here, #10,334 by citations
• Artificial Intelligence — 37 citations into it; #32,494 of 35,345 by trust here, #17,110 by citations
• Model Architectures — 26 citations into it
• Media Technology — 17 citations into it; #2,843 of 3,621 by trust here, #3,522 by citations
• Radiology, Nuclear Medicine and Imaging — 15 citations into it; #2,724 of 3,265 by trust here, #1,484 by citations
• Large Language Models — 5 citations into it

Whom Jeya Maria Jose Valanarasu trusts overall

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

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

Who trusts Jeya Maria Jose Valanarasu overall

1. Ozan Özdenizci
2. Bingzhi Chen
3. Jiacheng Ruan
4. Chenxin Li
5. Haonan Wang
6. Ange Lou
7. Vishal M. Patel
8. Ali Hatamizadeh
9. Tomer Amit
10. He-lu Huang

Papers from Jeya Maria Jose Valanarasu's perspective

Ordered by how strongly the researchers Jeya Maria Jose Valanarasu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Medical Transformer: Gated Axial-Attention for Medical Image Segmentation (2021) — 1,422 citations
• UNeXt: MLP-based Rapid Medical Image Segmentation Network (2022) — 971 citations
• TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions (2021) — 524 citations