Zhenwei Shi
Computer Vision and Pattern Recognition · 2014–2024
A researcher in the Science corpus: 8 papers; trusts 1,627 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 495 citations into it; #13,210 of 21,575 by trust here, #8,952 by citations
- Artificial Intelligence — 240 citations into it; #10,859 of 35,345 by trust here, #21,316 by citations
- Media Technology — 105 citations into it; #191 of 3,621 by trust here, #746 by citations
- Model Architectures — 64 citations into it
- Evaluation & Benchmarks — 31 citations into it
- Representation & Self-Supervised Learning — 31 citations into it
- Aerospace Engineering — 30 citations into it
- Atmospheric Science — 30 citations into it; #166 of 4,804 by trust here, #2,179 by citations
Whom Zhenwei Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Ilya Sutskever
- X. Zhang
Who trusts Zhenwei Shi overall
- Sheng Fang
- Di Wang
- Sijie Zhao
- Cui Zhang
- Zikun Liu
- Lihe Yang
- F. Liu
- Abdulaziz Amer Aleissaee
- Kaiyu Li
- Qian Shi
Papers from Zhenwei Shi's perspective
Ordered by how strongly the researchers Zhenwei Shi 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Object Detection in 20 Years: A Survey (2019) — 3,480 citations
- RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model (2023) — 474 citations
- Geographical Knowledge-Driven Representation Learning for Remote Sensing Images (2021) — 95 citations
- RSMamba: Remote Sensing Image Classification With State Space Model (2024) — 371 citations
- Remote Sensing Image Change Detection With Transformers (2021) — 1,602 citations
- A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection (2020) — 1,845 citations
- Super-Resolution for Remote Sensing Images via Local–Global Combined Network (2017) — 341 citations
- Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature (2014) — 208 citations