Xiaolin Zhang

Computer Vision and Pattern Recognition · with Wang · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 600 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 149 citations into it; #7,873 of 21,575 by trust here, #6,206 by citations
• Artificial Intelligence — 56 citations into it; #11,857 of 35,345 by trust here, #10,319 by citations
• Evaluation & Benchmarks — 20 citations into it
• Model Architectures — 14 citations into it
• Media Technology — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Xiaolin Zhang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Yunchao Wei
7. Christian Szegedy
8. Andrew Zisserman
9. Shaoqing Ren
10. Ilya Sutskever

Who trusts Xiaolin Zhang overall

1. Junsuk Choe
2. Yunchao Wei
3. Peng-Tao Jiang
4. Sangdoo Yun
5. Qibin Hou
6. Chi Zhang
7. Khoi Duc Minh Nguyen
8. Hyunjung Shim
9. Juhong Min
10. Naoki Kato

Papers from Xiaolin Zhang's perspective

Ordered by how strongly the researchers Xiaolin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Adversarial Complementary Learning for Weakly Supervised Object Localization (2018) — 621 citations
• SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation (2018) — 584 citations
• Self-produced Guidance for Weakly-supervised Object Localization (2018) — 267 citations
• The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations