Dandan Shan

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 386 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 106 citations into it; #7,591 of 21,575 by trust here, #9,872 by citations
• Human-Computer Interaction — 37 citations into it; #844 of 2,253 by trust here, #763 by citations
• Artificial Intelligence — 26 citations into it; #15,167 of 35,345 by trust here, #16,771 by citations
• Control and Systems Engineering — 19 citations into it
• 3D Vision & Pose — 13 citations into it

Whom Dandan Shan trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Diederik P. Kingma
8. Karen Simonyan
9. Yann LeCun
10. Yoshua Bengio

Who trusts Dandan Shan overall

1. Ilija Radosavovic
2. Tushar Nagarajan
3. Tete Xiao
4. Lingzhi Zhang
5. Mohit Goyal
6. Kristen Grauman
7. Georgios Pavlakos
8. Francesco Ragusa
9. Supreeth Narasimhaswamy
10. Yanghao Li

Papers from Dandan Shan's perspective

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

Their papers

• Understanding Human Hands in Contact at Internet Scale (2020) — 405 citations
• EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations (2022) — 169 citations
• COHESIV: Contrastive Object and Hand Embedding Segmentation In Video (2021) — 17 citations
• Reconstructing Hands in 3D with Transformers (2023) — 381 citations