Benlin Liu
Computer Vision and Pattern Recognition · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 318 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 114 citations into it; #17,495 of 21,575 by trust here, #9,435 by citations
- Artificial Intelligence — 86 citations into it
- Generative Models — 29 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Natural Language Processing — 12 citations into it
Whom Benlin Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Christian Szegedy
- Karen Simonyan
Who trusts Benlin Liu overall
Papers from Benlin Liu's perspective
Ordered by how strongly the researchers Benlin 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
- DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification (2021) — 1,174 citations
- TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering (2023) — 442 citations
- Unleashing Text-to-Image Diffusion Models for Visual Perception (2023) — 350 citations