Adams Wai-Kin Kong
Computer Vision and Pattern Recognition · with Li · 2024
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it
- Artificial Intelligence — 21 citations into it
- Generative Models — 18 citations into it
Whom Adams Wai-Kin Kong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Adams Wai-Kin Kong's perspective
Ordered by how strongly the researchers Adams Wai-Kin Kong trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Microsoft COCO: Common Objects in Context
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MACE: Mass Concept Erasure in Diffusion Models (2024) — 310 citations