Xiaolong Wang

Computer Vision and Pattern Recognition · with Byeon · 2023

A researcher in the Science corpus: 1 paper; trusts 242 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it
• Artificial Intelligence — 52 citations into it
• Generative Models — 26 citations into it

Whom Xiaolong Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Tsung-Yi Lin
7. Yoshua Bengio
8. Yann LeCun
9. Karen Simonyan
10. Piotr Doll'ar

Papers from Xiaolong Wang's perspective

Ordered by how strongly the researchers Xiaolong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models (2023) — 479 citations