Jacinto Carlos Nascimento

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #9,789 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 23 citations into it

Whom Jacinto Carlos Nascimento trusts overall

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

1. Chris Stauffer
2. Ismail Haritaoglu
3. Antoine Monnet
4. Rita Cucchiara
5. W. Grimson
6. Robert T. Collins
7. David Harwood
8. Costantino Grana
9. Anurag Mittal
10. Kaiming He

Who trusts Jacinto Carlos Nascimento overall

1. Thierry Bouwmans
2. Nil Goyette
3. Pierre-Marc Jodoin
4. Fida El Baf
5. Fatih Murat Porikli
6. Bertrand Vachon

Papers from Jacinto Carlos Nascimento's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet classification with deep convolutional neural networks
5. Fully convolutional networks for semantic segmentation
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Rethinking the Inception Architecture for Computer Vision
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images (2009) — 458 citations
• Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (2017) — 432 citations
• Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI (2017) — 109 citations
• Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework (2017) — 149 citations
• Performance evaluation of object detection algorithms for video surveillance (2006) — 318 citations