Dongqing Zhang

Computer Vision and Pattern Recognition · with Hua · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 466 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it; #4,119 of 21,575 by trust here, #4,926 by citations
• Artificial Intelligence — 45 citations into it; #11,410 of 35,345 by trust here, #10,798 by citations
• Efficiency & Compression — 26 citations into it; #428 of 1,264 by trust here, #597 by citations
• Model Architectures — 18 citations into it
• Signal Processing — 16 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Media Technology — 6 citations into it

Whom Dongqing Zhang trusts overall

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

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

Who trusts Dongqing Zhang overall

1. Zhen Dong
2. Zi-Mei Yao
3. Zechun Liu
4. A. Gholami
5. Cheng Deng
6. Qing-Yuan Jiang
7. Ruihao Gong
8. Haotong Qin
9. Jian Zhang
10. Tadas Baltrusaitis

Papers from Dongqing Zhang's perspective

Ordered by how strongly the researchers Dongqing 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Neural Aggregation Network for Video Face Recognition (2016) — 397 citations
• LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks (2018) — 770 citations
• Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization (2014) — 640 citations