George Vosselman

Computer Vision and Pattern Recognition · 2000–2022

A researcher in the Science corpus: 8 papers; trusts 362 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Artificial Intelligence — 27 citations into it
• Aerospace Engineering — 19 citations into it; #2,328 of 6,421 by trust here, #3,644 by citations
• Model Architectures — 12 citations into it

Whom George Vosselman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas Brox
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. David G. Lowe
6. Ross B. Girshick
7. Jitendra Malik
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts George Vosselman overall

1. John B. Lindsay
2. C. Hopkinson
3. Keqi Zhang
4. Wuming Zhang
5. Chao Lin
6. Xiaoye Liu
7. Jonathan P. Dandois
8. Jixian Zhang
9. Shu‐Ching Chen
10. Jianbo Qi

Papers from George Vosselman's perspective

Ordered by how strongly the researchers George Vosselman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation (2022) — 312 citations
• UAVid: A semantic segmentation dataset for UAV imagery (2018) — 477 citations
• Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning (2017) — 310 citations
• Knowledge based reconstruction of building models from terrestrial laser scanning data (2009) — 413 citations
• Segmentation of point clouds using smoothness constraints (2006) — 445 citations
• Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds (2004) — 1,099 citations
• Reconstruction of 3D building models from aerial images and maps (2003) — 308 citations
• SLOPE BASED FILTERING OF LASER ALTIMETRY DATA (2000) — 802 citations