Chaoyue Wang
Computer Vision and Pattern Recognition · with He · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 565 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 133 citations into it
- Artificial Intelligence — 50 citations into it
- Generative Models — 39 citations into it
- Multimodal Learning — 30 citations into it
- Natural Language Processing — 26 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Model Architectures — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Chaoyue Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Christian Szegedy
- Karen Simonyan
Papers from Chaoyue Wang's perspective
Ordered by how strongly the researchers Chaoyue 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Modeling Image Composition for Complex Scene Generation (2022) — 64 citations
- Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition (2021) — 67 citations
- Syntax-Aware Action Targeting for Video Captioning (2020) — 155 citations