Wenhan Luo
Computer Vision and Pattern Recognition · 2014–2022
A researcher in the Science corpus: 8 papers; trusts 867 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 343 citations into it; #14,589 of 21,575 by trust here, #6,206 by citations
- Artificial Intelligence — 94 citations into it; #23,641 of 35,345 by trust here, #13,760 by citations
- Media Technology — 72 citations into it
- Model Architectures — 36 citations into it
- Signal Processing — 23 citations into it
- Aerospace Engineering — 17 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Generative Models — 17 citations into it
Whom Wenhan Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Karen Simonyan
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
Who trusts Wenhan Luo overall
- Zechun Liu
- Kaihao Zhang
- Zhiqiang Shen
- Ning Wang
- Jonathon Luiten
- Tao Wang
- Zitong Yu
- Haotong Qin
- Chong Mou
Papers from Wenhan Luo's perspective
Ordered by how strongly the researchers Wenhan Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning to Compose Dynamic Tree Structures for Visual Contexts (2018) — 612 citations
- Multiple object tracking: A literature review (2014) — 1,031 citations
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm (2018) — 648 citations
- Adversarial Spatio-Temporal Learning for Video Deblurring (2018) — 341 citations
- Deblurring by Realistic Blurring (2020) — 476 citations
- Face Anti-Spoofing: Model Matters, so Does Data (2019) — 228 citations
- Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method (2022) — 654 citations
- Deep Image Deblurring: A Survey (2022) — 385 citations