Miaomiao Liu
Computer Vision and Pattern Recognition · 2014–2020
A researcher in the Science corpus: 5 papers; trusts 463 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 83 citations into it; #7,390 of 21,575 by trust here, #8,296 by citations
- Artificial Intelligence — 19 citations into it
- Media Technology — 17 citations into it; #927 of 3,621 by trust here, #1,002 by citations
- Aerospace Engineering — 15 citations into it
- 3D Vision & Pose — 13 citations into it
- Model Architectures — 12 citations into it
- Control and Systems Engineering — 9 citations into it
- Computational Mechanics — 6 citations into it
Whom Miaomiao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Derek Hoiem
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Ashutosh Saxena
- Alexei A. Efros
- Yann LeCun
Who trusts Miaomiao Liu overall
- Dan Xu
- Fangchang Ma
- Elad Walach
- Clément Godard
- Fayao Liu
- Chunhua Shen
- Sertac Karaman
- Diana Wofk
- Iro Laina
- Bo Li
Papers from Miaomiao Liu's perspective
Ordered by how strongly the researchers Miaomiao 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
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Discrete-Continuous Depth Estimation from a Single Image (2014) — 380 citations
- Learning Trajectory Dependencies for Human Motion Prediction (2019) — 559 citations
- Cost Volume Pyramid Based Depth Inference for Multi-View Stereo (2019) — 414 citations
- History Repeats Itself: Human Motion Prediction via Motion Attention (2020) — 361 citations
- Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera (2018) — 325 citations