Jaume Amores
Computer Vision and Pattern Recognition · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 505 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #3,862 of 21,575 by trust here, #8,296 by citations
- Artificial Intelligence — 15 citations into it
- Aerospace Engineering — 5 citations into it
- Statistical Learning Theory — 5 citations into it
- Signal Processing — 5 citations into it
Whom Jaume Amores trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James R. Foulds
- Sally A. Goldman
- Jianguo Zhang
- Jaka Demsar
- Paul A. Viola
- Piotr Doll'ar
- Josef Sivic
- Min-Ling Zhang
- Andrew Zisserman
- Serge J. Belongie
Who trusts Jaume Amores overall
- B. Vo
- Surbhi Goel
- Oren Z. Kraus
- Zhipeng Luo
- Zoltán Szabó
- Xinggang Wang
- Nhat-Quang Tran
- Xiu-Shen Wei
- Zhi-Hua Zhou
- Xi Wang
Papers from Jaume Amores's perspective
Ordered by how strongly the researchers Jaume Amores 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection (2015) — 86 citations
- On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts (2017) — 103 citations
- Multiple instance classification: Review, taxonomy and comparative study (2013) — 623 citations