Eijiro Takeuchi
Computer Vision and Pattern Recognition · 2006–2019
A researcher in the Science corpus: 11 papers; trusts 71 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it; #7,505 of 21,575 by trust here, #10,010 by citations
- Aerospace Engineering — 33 citations into it; #1,142 of 6,421 by trust here, #1,853 by citations
- Artificial Intelligence — 29 citations into it; #34,700 of 35,345 by trust here, #32,362 by citations
- Automotive Engineering — 21 citations into it; #861 of 3,081 by trust here, #1,511 by citations
- Electrical and Electronic Engineering — 9 citations into it
- Geology — 7 citations into it
- Model Architectures — 7 citations into it
- Signal Processing — 5 citations into it
Whom Eijiro Takeuchi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Biber
- Sebastian Thrun
- Sayanan Sivaraman
- Kaiming He
- Martin Magnusson
- Navneet Dalal
- Ross B. Girshick
- Michael Montemerlo
- Geoffrey E. Hinton
- Pedro F. Felzenszwalb
Who trusts Eijiro Takeuchi overall
- Ekim Yurtsever
- Martin Magnusson
- Jacob Lambert
- Naoki Akai
- Mengwen He
- Alexander Carballo
- Shinpei Kato
- Kazuya Takeda
- Luis Yoichi Morales Saiki
- Yoshiki Ninomiya
Papers from Eijiro Takeuchi's perspective
Ordered by how strongly the researchers Eijiro Takeuchi 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Histograms of oriented gradients for human detection
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Collaborative mapping of an earthquake‐damaged building via ground and aerial robots (2012) — 510 citations
- Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer (2019) — 36 citations
- Driving Feature Extraction and Behavior Classification Using an Autoencoder to Reproduce the Velocity Styles of Experts (2018) — 16 citations
- Tsukuba Challenge 2017 Dynamic Object Tracks Dataset for Pedestrian Behavior Analysis (2018) — 12 citations
- A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles (2018) — 88 citations
- Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments (2017) — 74 citations
- Robust localization using 3D NDT scan matching with experimentally determined uncertainty and road marker matching (2017) — 101 citations
- Autonomous driving based on accurate localization using multilayer LiDAR and dead reckoning (2017) — 69 citations
- Precise and efficient model-based vehicle tracking method using Rao-Blackwellized and scaling series particle filters (2016) — 13 citations
- An Open Approach to Autonomous Vehicles (2015) — 492 citations
- A 3-D Scan Matching using Improved 3-D Normal Distributions Transform for Mobile Robotic Mapping (2006) — 200 citations