Xudong Jiang

Computer Vision and Pattern Recognition · with Ding · 2023

A researcher in the Science corpus: 1 paper; trusts 230 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 26 citations into it
• Multimodal Learning — 11 citations into it
• Natural Language Processing — 6 citations into it

Whom Xudong Jiang trusts overall

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

1. Ronghang Hu
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Trevor Darrell
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Papers from Xudong Jiang's perspective

Ordered by how strongly the researchers Xudong Jiang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GRES: Generalized Referring Expression Segmentation (2023) — 331 citations