Qi Wang
Computer Vision and Pattern Recognition · IEEE Transactions on Geoscience and Remote Sensing · 2016–2020
A researcher in the Science corpus: 6 papers; trusts 554 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 105 citations into it; #7,701 of 21,575 by trust here, #8,205 by citations
- Media Technology — 61 citations into it; #1,180 of 3,621 by trust here, #789 by citations
- Artificial Intelligence — 49 citations into it; #23,370 of 35,345 by trust here, #17,412 by citations
- Atmospheric Science — 22 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Ecology — 10 citations into it
- Safety, Risk, Reliability and Quality — 10 citations into it
- Ocean Engineering — 9 citations into it
Whom Qi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrew Zisserman
- Ross B. Girshick
- Shaoqing Ren
- Yoshua Bengio
- Ilya Sutskever
Who trusts Qi Wang overall
- Nassim Ammour
- Sergey I. Nikolenko
- Yakoub Bazi
- Weiwei Sun
- Vishwanath A. Sindagi
- Gang Fu
- Huidong Liu
- Haikel Salem Alhichri
- Ayesha Shafique
- Gongjie Zhang
Papers from Qi Wang's perspective
Ordered by how strongly the researchers Qi Wang 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization (2020) — 518 citations
- Learning From Synthetic Data for Crowd Counting in the Wild (2019) — 601 citations
- Scene Classification With Recurrent Attention of VHR Remote Sensing Images (2019) — 511 citations
- GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection (2019) — 487 citations
- Optimal Clustering Framework for Hyperspectral Band Selection (2018) — 334 citations
- Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking (2016) — 429 citations