Rongguang Ye
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 428 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 150 citations into it; #11,733 of 21,575 by trust here, #7,657 by citations
- Artificial Intelligence — 87 citations into it; #18,719 of 35,345 by trust here, #10,942 by citations
- Radiology, Nuclear Medicine and Imaging — 8 citations into it; #1,494 of 3,265 by trust here, #1,115 by citations
Whom Rongguang Ye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Joseph Redmon
- Geoffrey E. Hinton
- Alex Krizhevsky
- Tsung-Yi Lin
- Shaoqing Ren
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
Who trusts Rongguang Ye overall
Papers from Rongguang Ye's perspective
Ordered by how strongly the researchers Rongguang Ye 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (2019) — 5,129 citations
- Localization Distillation for Object Detection (2022) — 94 citations
- Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation (2020) — 1,369 citations