Tianming Liu
Computer Vision and Pattern Recognition · 2008–2023
A researcher in the Science corpus: 6 papers; trusts 347 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 112 citations into it; #13,273 of 21,575 by trust here, #7,852 by citations
- Artificial Intelligence — 52 citations into it
- Cognitive Neuroscience — 26 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Media Technology — 13 citations into it
- Optimization & Training — 9 citations into it
- Aerospace Engineering — 7 citations into it
- Sensory Systems — 6 citations into it
Whom Tianming Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Pedro F. Felzenszwalb
- Ross B. Girshick
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
- Andrew Zisserman
- Ilya Sutskever
Who trusts Tianming Liu overall
Papers from Tianming Liu's perspective
Ordered by how strongly the researchers Tianming 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Predicting eye fixations using convolutional neural networks (2015) — 249 citations
- Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models (2023) — 745 citations
- Two-Stage Learning to Predict Human Eye Fixations via SDAEs (2016) — 150 citations
- Learning coarse-to-fine sparselets for efficient object detection and scene classification (2015) — 58 citations
- A survey of MRI-based brain tumor segmentation methods (2014) — 406 citations
- Review of methods for functional brain connectivity detection using fMRI (2008) — 309 citations