Guisong Xia
Computer Vision and Pattern Recognition · 2018–2022
A researcher in the Science corpus: 15 papers; trusts 1,653 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 663 citations into it; #4,788 of 21,575 by trust here, #3,875 by citations
- Media Technology — 242 citations into it
- Artificial Intelligence — 225 citations into it
- Model Architectures — 73 citations into it
- Evaluation & Benchmarks — 65 citations into it
- Aerospace Engineering — 62 citations into it; #1,801 of 6,421 by trust here, #1,071 by citations
- Atmospheric Science — 53 citations into it
- Ecology — 40 citations into it
Whom Guisong Xia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Tsung-Yi Lin
- Karen Simonyan
- Shaoqing Ren
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Guisong Xia overall
- Xue Yang
- Gong Cheng
- Wentong Li
- Jiaming Han
- Xinhao Cai
- Jian Ding
- Di Wang
- Junchi Yan
- Yiming Sun
- Xian Sun
Papers from Guisong Xia's perspective
Ordered by how strongly the researchers Guisong Xia 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Decoupling Zero-Shot Semantic Segmentation (2021) — 305 citations
- iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images (2019) — 507 citations
- FGN: Fully Guided Network for Few-Shot Instance Segmentation (2020) — 83 citations
- Learning RoI Transformer for Oriented Object Detection in Aerial Images (2019) — 1,156 citations
- Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection (2019) — 916 citations
- Align Deep Features for Oriented Object Detection (2020) — 1,122 citations
- Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark (2022) — 369 citations
- An Empirical Study of Remote Sensing Pretraining (2022) — 301 citations
- Transformers in Remote Sensing: A Survey (2022) — 379 citations
- ReDet: A Rotation-equivariant Detector for Aerial Object Detection (2021) — 830 citations
- Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges (2021) — 655 citations
- Tiny Object Detection in Aerial Images (2021) — 354 citations
- Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities (2020) — 818 citations
- UAVid: A semantic segmentation dataset for UAV imagery (2018) — 477 citations
- Land-cover classification with high-resolution remote sensing images using transferable deep models (2018) — 979 citations