Xian Sun
Computer Vision and Pattern Recognition · 2013–2023
A researcher in the Science corpus: 14 papers; trusts 771 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 333 citations into it; #6,928 of 21,575 by trust here, #4,750 by citations
- Artificial Intelligence — 151 citations into it; #32,329 of 35,345 by trust here, #30,347 by citations
- Media Technology — 115 citations into it; #1,140 of 3,621 by trust here, #505 by citations
- Representation & Self-Supervised Learning — 49 citations into it
- Model Architectures — 32 citations into it
- Aerospace Engineering — 26 citations into it
- Evaluation & Benchmarks — 26 citations into it
- Atmospheric Science — 22 citations into it; #1,742 of 4,804 by trust here, #1,505 by citations
Whom Xian Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- David G. Lowe
- Yoshua Bengio
- Karen Simonyan
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
Who trusts Xian Sun overall
- Gong Cheng
- Xue Yang
- Wei Zhang
- Yanfei Zhong
- Valerio Marsocci
- Lucas Prado Osco
- Xin Guo
- Chao Tao
- Bei Zhao
- Junwei Han
Papers from Xian Sun's perspective
Ordered by how strongly the researchers Xian Sun 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
- 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
- SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects (2018) — 887 citations
- MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification (2016) — 186 citations
- Few-shot incremental learning with continual prototype calibration for remote sensing image fine-grained classification (2023)
- RingMo: A Remote Sensing Foundation Model With Masked Image Modeling (2023) — 413 citations
- Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation (2021) — 212 citations
- FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery (2021) — 563 citations
- Continual Learning With Structured Inheritance for Semantic Segmentation in Aerial Imagery (2021) — 40 citations
- Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks (2018) — 505 citations
- Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images (2017) — 538 citations
- A generic discriminative part-based model for geospatial object detection in optical remote sensing images (2015) — 53 citations
- Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model (2014) — 125 citations
- Semi-Supervised Manifold Learning Based Multigraph Fusion for High-Resolution Remote Sensing Image Classification (2014) — 16 citations
- High-Resolution Remote-Sensing Image Classification via an Approximate Earth Mover's Distance-Based Bag-of-Features Model (2013) — 26 citations
- Automatic Annotation of Satellite Images via Multifeature Joint Sparse Coding With Spatial Relation Constraint (2013) — 80 citations