Zhicheng Huang

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 286 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #6,609 of 21,575 by trust here, #4,865 by citations
• Artificial Intelligence — 63 citations into it; #9,468 of 35,345 by trust here, #6,664 by citations
• Multimodal Learning — 52 citations into it; #368 of 1,211 by trust here, #414 by citations
• Natural Language Processing — 22 citations into it
• Model Architectures — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Zhicheng Huang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Oriol Vinyals
10. Yann LeCun

Who trusts Zhicheng Huang overall

1. Zhe Gan
2. Jianfeng Wang
3. Yupan Huang
4. Linjie Li
5. Zi-Yi Dou
6. Jaemin Cho
7. Zhengyuan Yang
8. Yan Zeng
9. Hongwei Xue
10. Xiaowei Hu

Papers from Zhicheng Huang's perspective

Ordered by how strongly the researchers Zhicheng Huang 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers (2020) — 475 citations
• Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning (2021) — 313 citations