Wenming Yang
Computer Vision and Pattern Recognition · with Zhang · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 592 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 179 citations into it
- Artificial Intelligence — 97 citations into it
- Media Technology — 48 citations into it
- Model Architectures — 34 citations into it
- Generative Models — 24 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Optimization & Training — 16 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Wenming Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
Who trusts Wenming Yang overall
- Weihao Xia
- Wanjie Sun
- Nantheera Anantrasirichai
- Honggang Chen
- Lingbo Yang
- Yujiu Yang
- Zhenzhong Chen
- D. Bull
- Yochai Blau
Papers from Wenming Yang's perspective
Ordered by how strongly the researchers Wenming Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deep Learning for Single Image Super-Resolution: A Brief Review (2018) — 1,052 citations
- Group Fisher Pruning for Practical Network Compression (2021) — 218 citations
- IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection (2020) — 76 citations
- Lightweight Feature Fusion Network for Single Image Super-Resolution (2019) — 54 citations