Zhanzhan Cheng
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it; #19,941 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 30 citations into it; #32,470 of 35,345 by trust here, #28,481 by citations
Whom Zhanzhan Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Max Jaderberg
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Kai Wang
- Andrew Zisserman
- Yann LeCun
Who trusts Zhanzhan Cheng overall
- Fangneng Zhan
- Shangbang Long
- Xiaoyu Yue
- Baoguang Shi
- Deli Yu
- Tianwei Wang
- Jeonghun Baek
- Shijian Lu
- Cong Yao
- Francesco Pelosin
Papers from Zhanzhan Cheng's perspective
Ordered by how strongly the researchers Zhanzhan Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners (2022) — 24 citations
- Focusing Attention: Towards Accurate Text Recognition in Natural Images (2017) — 493 citations