Erickson R. Nascimento
Computer Vision and Pattern Recognition · 2012–2018
A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #7,581 of 21,575 by trust here, #7,852 by citations
- Media Technology — 8 citations into it
Whom Erickson R. Nascimento trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wanqing Li
- Raanan Fattal
- Robby T. Tan
- Kaiming He
- Daniel Scharstein
- Piotr Doll'ar
- Alper Yilmaz
- Yoav Y. Schechner
- Fengjun Lv
- Liu Chao
Who trusts Erickson R. Nascimento overall
- Hossein Rahmani
- Arif Mahmood
- Xiaodong Yang
- Derya Akkaynak
- Yan-Tsung Peng
- Liliana Lo Presti
- Y. Zhu
- Lu Xia
- Kui Liu
- Omar Oreifej
Papers from Erickson R. Nascimento's perspective
Ordered by how strongly the researchers Erickson R. Nascimento 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos (2018) — 36 citations
- STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences (2012) — 293 citations
- Transmission Estimation in Underwater Single Images (2013) — 731 citations