Hueihan Jhuang
Computer Vision and Pattern Recognition · 2007–2013
A researcher in the Science corpus: 4 papers; trusts 272 researchers and is trusted by 3,600 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 80 citations into it; #561 of 21,575 by trust here, #1,269 by citations
- Artificial Intelligence — 23 citations into it; #10,426 of 35,345 by trust here, #8,893 by citations
- Cognitive Neuroscience — 12 citations into it; #1,768 of 10,852 by trust here, #2,252 by citations
- Evaluation & Benchmarks — 12 citations into it; #332 of 3,147 by trust here, #374 by citations
- Social Psychology — 9 citations into it
- 3D Vision & Pose — 7 citations into it
- Neuroscience — 6 citations into it; #122 of 487 by trust here, #142 by citations
Whom Hueihan Jhuang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Navneet Dalal
- Ivan Laptev
- Tomaso A. Poggio
- Thomas Serre
- Geoffrey E. Hinton
- Alex Krizhevsky
- Cordelia Schmid
- Yann LeCun
- Li Fei-Fei
- Kaiming He
Who trusts Hueihan Jhuang overall
- Limin Wang
- Luc Van Gool
- Chen Sun
- Andrew Zisserman
- Jitendra Malik
- Christoph Feichtenhofer
- Cordelia Schmid
- Yu Qiao
- Rohit Girdhar
- Saining Xie
Papers from Hueihan Jhuang's perspective
Ordered by how strongly the researchers Hueihan Jhuang 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- HMDB: A large video database for human motion recognition (2011) — 4,317 citations
- Towards Understanding Action Recognition (2013) — 968 citations
- A Biologically Inspired System for Action Recognition (2007) — 821 citations
- Automated home-cage behavioural phenotyping of mice. (2010) — 301 citations