Xudong Jiang

Computer Vision and Pattern Recognition · Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 · 2000–2021

A researcher in the Science corpus: 8 papers; trusts 1,031 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 256 citations into it; #8,474 of 21,575 by trust here, #6,031 by citations
• Artificial Intelligence — 92 citations into it; #34,907 of 35,345 by trust here, #27,551 by citations
• Model Architectures — 38 citations into it
• Aerospace Engineering — 21 citations into it
• Evaluation & Benchmarks — 21 citations into it
• Human-Computer Interaction — 18 citations into it
• Multimodal Learning — 14 citations into it
• Media Technology — 11 citations into it

Whom Xudong Jiang trusts overall

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

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

Who trusts Xudong Jiang overall

1. Marius Tico
2. Raffaele Cappelli
3. Henghui Ding
4. Imran Naseem
5. Danilo Valdés-Ramírez
6. Pauli Kuosmanen
7. Jun Fu
8. Jianjiang Feng
9. Xiangtai Li
10. Matteo Ferrara

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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click (2020) — 64 citations
• Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation (2018) — 391 citations
• Vision-Language Transformer and Query Generation for Referring Segmentation (2021) — 380 citations
• Semantic Segmentation With Context Encoding and Multi-Path Decoding (2020) — 148 citations
• Feature Boosting Network For 3D Pose Estimation (2019) — 129 citations
• Learning LBP structure by maximizing the conditional mutual information (2015) — 72 citations
• Eigenfeature Regularization and Extraction in Face Recognition (2008) — 328 citations
• Fingerprint minutiae matching based on the local and global structures (2000) — 580 citations