Chris Liu
Computer Vision and Pattern Recognition · 2019–2024
A researcher in the Science corpus: 4 papers; trusts 306 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 214 citations into it; #20,975 of 21,575 by trust here, #9,187 by citations
- Artificial Intelligence — 177 citations into it; #34,518 of 35,345 by trust here, #11,327 by citations
Whom Chris Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Alec Radford
- Karen Simonyan
Who trusts Chris Liu overall
Papers from Chris Liu's perspective
Ordered by how strongly the researchers Chris Liu 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- Structured Knowledge Distillation for Semantic Segmentation (2019) — 708 citations
- ImageBind-LLM: Multi-modality Instruction Tuning (2023) — 181 citations
- SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models (2024) — 159 citations
- SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models (2023) — 306 citations