Sanjiv Singh

Aerospace Engineering · 2007–2017

A researcher in the Science corpus: 7 papers; trusts 108 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 40 citations into it; #243 of 6,421 by trust here, #525 by citations
• Computer Vision and Pattern Recognition — 35 citations into it; #3,511 of 21,575 by trust here, #3,538 by citations
• Geology — 15 citations into it; #129 of 687 by trust here, #551 by citations
• Electrical and Electronic Engineering — 9 citations into it; #2,193 of 16,539 by trust here, #12,727 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Sanjiv Singh trusts overall

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

1. M. Bosse
2. Andreas Geiger
3. Ji Zhang
4. Robert Zlot
5. François Pomerleau
6. Christopher Evans
7. Szymon Rusinkiewicz
8. Radu Bogdan Rusu
9. Philip Lenz
10. Robert Andersen

Who trusts Sanjiv Singh overall

1. Tixiao Shan
2. Jens Behley
3. Ji Zhang
4. Tong Qin
5. Brendan Englot
6. Jean-Emmanuel Deschaud
7. Joel Janai
8. César Debeunne
9. Cyrill Stachniss
10. Haoyang Ye

Papers from Sanjiv Singh's perspective

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

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

Their papers

• Autonomous driving in urban environments: Boss and the Urban Challenge (2008) — 1,944 citations
• Flying Fast and Low Among Obstacles: Methodology and Experiments (2008) — 202 citations
• LOAM: Lidar Odometry and Mapping in Real-time (2014) — 3,191 citations
• Visual-lidar odometry and mapping: low-drift, robust, and fast (2015) — 701 citations
• Low-drift and real-time lidar odometry and mapping (2017) — 760 citations
• The DARPA Urban Challenge: Autonomous Vehicles in City Traffic, George Air Force Base, Victorville, California, USA (2009) — 668 citations
• The 2005 DARPA Grand Challenge: The Great Robot Race (2007) — 292 citations