François Pomerleau
Computer Vision and Pattern Recognition · 2011–2022
A researcher in the Science corpus: 5 papers; trusts 90 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it; #10,908 of 21,575 by trust here, #12,419 by citations
- Aerospace Engineering — 41 citations into it; #1,164 of 6,421 by trust here, #2,193 by citations
- Artificial Intelligence — 13 citations into it
- Geology — 10 citations into it; #246 of 687 by trust here, #392 by citations
- Environmental Engineering — 7 citations into it
- Electrical and Electronic Engineering — 5 citations into it; #4,925 of 16,539 by trust here, #12,348 by citations
Whom François Pomerleau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- M. Bosse
- Dmitry Chetverikov
- Sunil Arya
- Tinne Tuytelaars
- Vaidy Mani
- Barbara Zitová
- Giorgio Grisetti
- Charles V. Stewart
- Kaiming He
Who trusts François Pomerleau overall
- Ji Zhang
- Yue Wang
- Xiaoshui Huang
- Jacopo Serafin
- Sanjiv Singh
- Justin M. Solomon
- Mathieu Labbé
- Jürgen Sturm
- Guofeng Mei
- Giorgio Grisetti
Papers from François Pomerleau's perspective
Ordered by how strongly the researchers François Pomerleau 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Instance Segmentation for Autonomous Log Grasping in Forestry Operations (2022) — 38 citations
- A Review of Point Cloud Registration Algorithms for Mobile Robotics (2015) — 772 citations
- Tracking a depth camera: Parameter exploration for fast ICP (2011) — 119 citations
- Comparing ICP variants on real-world data sets (2013) — 788 citations
- Towards a benchmark for RGB-D SLAM evaluation (2011) — 141 citations