Chunhui Gu
Computer Vision and Pattern Recognition · 2009–2017
A researcher in the Science corpus: 5 papers; trusts 672 researchers and is trusted by 2,597 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 162 citations into it; #748 of 21,575 by trust here, #2,415 by citations
- Artificial Intelligence — 55 citations into it; #26,919 of 35,345 by trust here, #7,062 by citations
- Aerospace Engineering — 23 citations into it; #1,797 of 6,421 by trust here, #2,997 by citations
- Evaluation & Benchmarks — 16 citations into it; #2,877 of 3,147 by trust here, #1,018 by citations
- Media Technology — 11 citations into it; #563 of 3,621 by trust here, #633 by citations
Whom Chunhui Gu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Navneet Dalal
- Jitendra Malik
- Ross B. Girshick
- Kaiming He
- Andrew Zisserman
- Pedro F. Felzenszwalb
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
Who trusts Chunhui Gu overall
- Jitendra Malik
- Ross B. Girshick
- Kristen Grauman
- Christoph Feichtenhofer
- Pablo Arbeláez
- Andrew Zisserman
- Andrea Vedaldi
- Trevor Darrell
- Dinesh Jayaraman
- Chen Sun
Papers from Chunhui Gu's perspective
Ordered by how strongly the researchers Chunhui Gu 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)
- 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
- AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions (2017) — 1,208 citations
- Recognition using regions (2009) — 452 citations
- Semantic segmentation using regions and parts (2012) — 325 citations
- Figure-ground segmentation improves handled object recognition in egocentric video (2010) — 190 citations
- Discriminative Mixture-of-Templates for Viewpoint Classification (2010) — 200 citations