Yan Zeng
Computer Vision and Pattern Recognition · with Zhang · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 385 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 49 citations into it; #13,428 of 21,575 by trust here, #14,822 by citations
- Artificial Intelligence — 42 citations into it; #21,697 of 35,345 by trust here, #22,463 by citations
- Multimodal Learning — 32 citations into it; #710 of 1,211 by trust here, #952 by citations
- Natural Language Processing — 9 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Model Architectures — 7 citations into it
Whom Yan Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Shaoqing Ren
- Yann LeCun
- Karen Simonyan
Who trusts Yan Zeng overall
- D'idac Sur'is
- Amita Kamath
- María Alejandra Bravo
- Anthony Meng Huat Tiong
- Feilong Chen
- Yuting Gao
- Sicong Leng
- Yiyang Zhou
- Zi-Yi Dou
- Sachit Menon
Papers from Yan Zeng's perspective
Ordered by how strongly the researchers Yan Zeng 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts (2021) — 379 citations
- VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training (2022) — 17 citations