Zhenzhen Hu
Computer Vision and Pattern Recognition · 2015–2021
A researcher in the Science corpus: 4 papers; trusts 366 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 113 citations into it
- Artificial Intelligence — 74 citations into it
- Multimodal Learning — 27 citations into it
- Natural Language Processing — 15 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Optimization & Training — 10 citations into it
Whom Zhenzhen Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Ross B. Girshick
- Karen Simonyan
- Yann LeCun
- Andrew Zisserman
Who trusts Zhenzhen Hu overall
Papers from Zhenzhen Hu's perspective
Ordered by how strongly the researchers Zhenzhen Hu 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
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Semantic Image Inpainting with Progressive Generative Networks (2018) — 146 citations
- Understanding Blooming Human Groups in Social Networks (2015) — 29 citations
- More Grounded Image Captioning by Distilling Image-Text Matching Model (2020) — 148 citations
- Adversarial co-distillation learning for image recognition (2021) — 48 citations