Erkun Yang
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 6 papers; trusts 499 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 129 citations into it; #13,967 of 21,575 by trust here, #10,334 by citations
- Artificial Intelligence — 50 citations into it
- Information Retrieval & Search — 16 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Optimization & Training — 12 citations into it
- Signal Processing — 11 citations into it
- Aerospace Engineering — 10 citations into it
- Model Architectures — 6 citations into it
Whom Erkun Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Wei David Liu
- Karen Simonyan
- Ilya Sutskever
- David G. Lowe
- Yoshua Bengio
- Ruslan Salakhutdinov
- Diederik P. Kingma
Who trusts Erkun Yang overall
Papers from Erkun Yang's perspective
Ordered by how strongly the researchers Erkun Yang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval (2017) — 336 citations
- Understanding and Improving Early Stopping for Learning with Noisy Labels (2021) — 298 citations
- Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search (2020) — 83 citations
- Deep Bayesian Hashing with Center Prior for Multi-modal Neuroimage Retrieval (2020) — 25 citations
- Unsupervised Semantic-Preserving Adversarial Hashing for Image Search (2019) — 150 citations
- Shared Predictive Cross-Modal Deep Quantization (2018) — 137 citations