Haoqian Wang

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 247 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it
• Artificial Intelligence — 34 citations into it
• Media Technology — 32 citations into it
• Computational Mechanics — 16 citations into it
• Biomedical Engineering — 10 citations into it

Whom Haoqian Wang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ross B. Girshick
8. Syed Waqas Zamir
9. Ashish Vaswani
10. Ilya Sutskever

Papers from Haoqian Wang's perspective

Ordered by how strongly the researchers Haoqian 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
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

• Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction (2021) — 404 citations
• Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement (2023) — 705 citations
• MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction (2022) — 341 citations