Sangho Lee

Computer Vision and Pattern Recognition · with Clark · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 351 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 204 citations into it
• Artificial Intelligence — 177 citations into it
• Multimodal Learning — 85 citations into it
• Signal Processing — 33 citations into it
• Model Architectures — 16 citations into it

Whom Sangho Lee trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Andrew Zisserman
7. Ilya Sutskever
8. Yann LeCun
9. Ross B. Girshick
10. Jimmy Ba

Who trusts Sangho Lee overall

1. Salman Hameed Khan
2. Arsha Nagrani

Papers from Sangho Lee's perspective

Ordered by how strongly the researchers Sangho Lee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Parameter Efficient Multimodal Transformers for Video Representation Learning (2020) — 91 citations
• Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models (2024) — 410 citations
• Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action (2023) — 353 citations