Zhecan Wang

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 283 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it; #19,284 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 60 citations into it
• Multimodal Learning — 32 citations into it
• Natural Language Processing — 20 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Large Language Models — 5 citations into it

Whom Zhecan Wang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Jimmy Ba
10. Karen Simonyan

Who trusts Zhecan Wang overall

1. Jesús Torrado

Papers from Zhecan Wang's perspective

Ordered by how strongly the researchers Zhecan Wang 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions (2021) — 54 citations
• Learning Visual Commonsense for Robust Scene Graph Generation (2020) — 304 citations