Rui Hu
Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2019–2020
A researcher in the Science corpus: 5 papers; trusts 655 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 162 citations into it; #7,077 of 21,575 by trust here, #4,088 by citations
- Artificial Intelligence — 53 citations into it
- Aerospace Engineering — 33 citations into it; #5,538 of 6,421 by trust here, #1,602 by citations
- Model Architectures — 24 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Optimization & Training — 11 citations into it
- Geology — 5 citations into it
Whom Rui Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Shaoqing Ren
- Jimmy Ba
- Karen Simonyan
Who trusts Rui Hu overall
Papers from Rui Hu's perspective
Ordered by how strongly the researchers Rui Hu 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)
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Multi-Task Multi-Sensor Fusion for 3D Object Detection (2019) — 687 citations
- UPSNet: A Unified Panoptic Segmentation Network (2019) — 465 citations
- PolyTransform: Deep Polygon Transformer for Instance Segmentation (2019) — 205 citations
- Learning Lane Graph Representations for Motion Forecasting (2020) — 809 citations
- DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (2019) — 310 citations