Xianming Liu
Computer Vision and Pattern Recognition · with Wang · 2015–2022
A researcher in the Science corpus: 3 papers; trusts 374 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 94 citations into it
- Artificial Intelligence — 53 citations into it
- Model Architectures — 27 citations into it
- Media Technology — 11 citations into it
- Optimization & Training — 7 citations into it
Whom Xianming Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Ilya Sutskever
Who trusts Xianming Liu overall
Papers from Xianming Liu's perspective
Ordered by how strongly the researchers Xianming Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks (2015) — 398 citations
- BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation (2022) — 295 citations
- FasterSeg: Searching for Faster Real-time Semantic Segmentation (2019) — 209 citations