Kai-Wei Chang

Computer Vision and Pattern Recognition · with Hessel · 2023

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 17 citations into it
• Multimodal Learning — 11 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Kai-Wei Chang trusts overall

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

1. Alec Radford
2. Geoffrey E. Hinton
3. Drew A. Hudson
4. Kaiming He
5. Alex Krizhevsky
6. Tsung-Yi Lin
7. Yoshua Bengio
8. Ilya Sutskever
9. Diederik P. Kingma
10. Christopher D. Manning

Papers from Kai-Wei Chang's perspective

Ordered by how strongly the researchers Kai-Wei Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet: A large-scale hierarchical image database
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Microsoft COCO: Common Objects in Context
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• What's "up" with vision-language models? Investigating their struggle with spatial reasoning (2023) — 301 citations