Alvaro Collet
Computer Vision and Pattern Recognition · 2009–2015
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 92 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it; #3,313 of 21,575 by trust here, #4,469 by citations
- Aerospace Engineering — 31 citations into it; #764 of 6,421 by trust here, #1,001 by citations
- Computer Graphics and Computer-Aided Design — 17 citations into it
- Control and Systems Engineering — 14 citations into it; #4,674 of 8,257 by trust here, #3,682 by citations
- Robotics & Control — 10 citations into it
- Artificial Intelligence — 9 citations into it
- 3D Vision & Pose — 6 citations into it
- Media Technology — 5 citations into it
Whom Alvaro Collet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Iryna Gordon
- Eric R. Ziegel
- Vincent Lepetit
- Krystian Mikolajczyk
- Changchang Wu
- Siddhartha S. Srinivasa
- Dana H. Ballard
- M. Grossberg
- Dmitry Berenson
Who trusts Alvaro Collet overall
- Siddhartha S. Srinivasa
- Zerong Zheng
- Danfei Xu
- Andy Zeng
- Chelsea Finn
- Sergey Levine
- Yann Labb'e
- Ian Lenz
- Chunhui Gu
- Joshua Tobin
Papers from Alvaro Collet's perspective
Ordered by how strongly the researchers Alvaro Collet trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distinctive Image Features from Scale-Invariant Keypoints
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
Their papers
- The MOPED framework: Object recognition and pose estimation for manipulation (2011) — 430 citations
- Object recognition and full pose registration from a single image for robotic manipulation (2009) — 316 citations
- High-quality streamable free-viewpoint video (2015) — 675 citations
- Efficient multi-view object recognition and full pose estimation (2010) — 84 citations
- Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home (2012) — 123 citations
- HERB: a home exploring robotic butler (2010) — 356 citations