Haoran Wang

Computer Vision and Pattern Recognition · with Duan · 2020

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #14,592 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 27 citations into it; #23,661 of 35,345 by trust here, #24,417 by citations

Whom Haoran Wang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Andrew L. Maas
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Judy Hoffman
8. Ross B. Girshick
9. Yoshua Bengio
10. Yann LeCun

Who trusts Haoran Wang overall

1. Lukas Hoyer
2. Yahao Liu
3. Dengxin Dai
4. Oren Nuriel
5. Luc Van Gool
6. Junshi Xia
7. Junjue Wang
8. Jinhong Deng
9. Jinyu Yang
10. Sagie Benaim

Papers from Haoran Wang's perspective

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

Their papers

• Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation (2020) — 340 citations