Muhammad Zafar Iqbal

Aerospace Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 9 citations into it
• Geology — 9 citations into it

Whom Muhammad Zafar Iqbal trusts

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

1. Markus Vincze (in Aerospace Engineering)
2. Walter Wohlkinger (in Aerospace Engineering)

Papers from Muhammad Zafar Iqbal's perspective

Ordered by how strongly the researchers Muhammad Zafar Iqbal 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. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
3. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
4. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
5. 3D ShapeNets: A deep representation for volumetric shapes
6. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
7. Fast Point Feature Histograms (FPFH) for 3D registration
8. Multi-view Convolutional Neural Networks for 3D Shape Recognition
9. 3D Semantic Parsing of Large-Scale Indoor Spaces
10. Model globally, match locally: Efficient and robust 3D object recognition

Their papers

• Noise-Resistant Deep Learning for Object Classification in Three-Dimensional Point Clouds Using a Point Pair Descriptor (2018) — 21 citations