Shiming Ge
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 706 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 200 citations into it; #11,850 of 21,575 by trust here, #10,677 by citations
- Artificial Intelligence — 57 citations into it
- Signal Processing — 29 citations into it
- Efficiency & Compression — 21 citations into it
- Model Architectures — 14 citations into it
- Media Technology — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Cognitive Neuroscience — 9 citations into it
Whom Shiming Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Andrew Zisserman
- Ilya Sutskever
- Yann LeCun
- Shaoqing Ren
- Yoshua Bengio
Who trusts Shiming Ge overall
Papers from Shiming Ge's perspective
Ordered by how strongly the researchers Shiming Ge 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
- Efficient Low-Resolution Face Recognition via Bridge Distillation (2020) — 72 citations
- Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency (2019) — 30 citations
- Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation (2018) — 209 citations
- Detecting Masked Faces in the Wild with LLE-CNNs (2017) — 386 citations