Jingyi Zhang

Computer Vision and Pattern Recognition · with Huang · 2023

A researcher in the Science corpus: 1 paper; trusts 582 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 149 citations into it
• Artificial Intelligence — 102 citations into it
• Multimodal Learning — 44 citations into it
• Evaluation & Benchmarks — 27 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Large Language Models — 13 citations into it

Whom Jingyi Zhang trusts overall

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

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

Papers from Jingyi Zhang's perspective

Ordered by how strongly the researchers Jingyi Zhang 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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

• Vision-Language Models for Vision Tasks: A Survey (2023) — 1,489 citations