Huiyu Zeng
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 4 papers; trusts 651 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 144 citations into it; #21,100 of 21,575 by trust here, #8,612 by citations
- Media Technology — 61 citations into it; #3,548 of 3,621 by trust here, #1,365 by citations
- Artificial Intelligence — 27 citations into it
- Generative Models — 16 citations into it; #1,927 of 1,956 by trust here, #1,415 by citations
- Computational Mechanics — 15 citations into it
- Aerospace Engineering — 14 citations into it
- Model Architectures — 14 citations into it
- Evaluation & Benchmarks — 9 citations into it; #3,084 of 3,147 by trust here, #2,330 by citations
Whom Huiyu Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Jimmy Ba
- Karen Simonyan
Who trusts Huiyu Zeng overall
- Xiaogang Xu
- Wu Zheng
- Tao Wang
- Pengxu Wei
- Zongsheng Yue
- Tianwei Yin
- Liangbin Xie
- Sefi Bell-Kligler
- Jaesung Rim
- Tao Yang
Papers from Huiyu Zeng's perspective
Ordered by how strongly the researchers Huiyu Zeng 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Structure Aware Single-Stage 3D Object Detection From Point Cloud (2020) — 613 citations
- Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model (2019) — 752 citations
- Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time (2020) — 363 citations
- Efficient Long-Range Attention Network for Image Super-resolution (2022) — 455 citations