Weidong (Tom) Cai

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 11 papers; trusts 519 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 139 citations into it; #16,744 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 78 citations into it; #27,363 of 35,345 by trust here, #7,172 by citations
• Computational Mechanics — 35 citations into it
• Representation & Self-Supervised Learning — 33 citations into it
• Optimization & Training — 28 citations into it
• Model Architectures — 27 citations into it
• Radiology, Nuclear Medicine and Imaging — 24 citations into it
• Geology — 15 citations into it

Whom Weidong (Tom) Cai trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yann LeCun
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. David G. Lowe
8. Karen Simonyan
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Weidong (Tom) Cai overall

1. Samir S. Yadav
2. Le Lu

Papers from Weidong (Tom) Cai's perspective

Ordered by how strongly the researchers Weidong (Tom) Cai trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization (2017) — 580 citations
• Locally-Transferred Fisher Vectors for Texture Classification (2017) — 51 citations
• Medical image classification with convolutional neural network (2014) — 740 citations
• Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification (2017) — 37 citations
• Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimer’s Disease (2014) — 524 citations
• Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis (2021) — 383 citations
• Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT (2019) — 439 citations
• 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes (2017) — 158 citations
• Early diagnosis of Alzheimer's disease with deep learning (2014) — 489 citations
• Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data (2013) — 231 citations
• Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization (2013) — 66 citations