Mengmeng Wang
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 825 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 129 citations into it; #13,049 of 21,575 by trust here, #11,950 by citations
- Artificial Intelligence — 56 citations into it
- Model Architectures — 15 citations into it
- Aerospace Engineering — 8 citations into it; #3,211 of 6,421 by trust here, #4,945 by citations
- Evaluation & Benchmarks — 7 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Mengmeng Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Diederik P. Kingma
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Mengmeng Wang overall
- Tianyu Yang
- Yiming Li
- Ziyuan Huang
- Seyed Mojtaba Marvasti-Zadeh
- Anfeng He
- Changhong Fu
- Feng Li
- Yisheng Song
- Gioele Ciaparrone
- Xiao Wang
Papers from Mengmeng Wang's perspective
Ordered by how strongly the researchers Mengmeng Wang 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- ActionCLIP: A New Paradigm for Video Action Recognition (2021) — 522 citations
- Large Margin Object Tracking with Circulant Feature Maps (2017) — 573 citations
- Extended Feature Pyramid Network for Small Object Detection (2020) — 382 citations
- HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation (2020) — 350 citations