Mingmin Zhen

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 25 citations into it
• Graph Learning — 19 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Mingmin Zhen trusts overall

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

1. Thomas Kipf
2. Diederik P. Kingma
3. Max Welling
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yann LeCun
7. William L. Hamilton
8. Yoshua Bengio
9. Alex Krizhevsky
10. Kaiming He

Who trusts Mingmin Zhen overall

1. Shikhar Vashishth
2. Soumya Sanyal
3. Jing Zhang
4. Vikram Nitin

Papers from Mingmin Zhen's perspective

Ordered by how strongly the researchers Mingmin Zhen 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer (2022) — 301 citations
• End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion (2018) — 732 citations