Guangcong Wang
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 2 papers; trusts 177 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it
- Computer Graphics and Computer-Aided Design — 26 citations into it
- Computational Mechanics — 22 citations into it
- Artificial Intelligence — 16 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- 3D Vision & Pose — 10 citations into it
- Generative Models — 9 citations into it
- Aerospace Engineering — 8 citations into it
Whom Guangcong Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Jost Tobias Springenberg
- Ross B. Girshick
- Karen Simonyan
Who trusts Guangcong Wang overall
Papers from Guangcong Wang's perspective
Ordered by how strongly the researchers Guangcong Wang 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)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis (2023) — 340 citations
- Deep Growing Learning (2017) — 34 citations