Juan R. Terven
Computer Vision and Pattern Recognition · 2023
A researcher in the Science corpus: 3 papers; trusts 1,002 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 140 citations into it; #15,128 of 21,575 by trust here, #20,756 by citations
- Artificial Intelligence — 92 citations into it
- Model Architectures — 23 citations into it
- Radiology, Nuclear Medicine and Imaging — 21 citations into it; #1,729 of 3,265 by trust here, #3,230 by citations
- Evaluation & Benchmarks — 12 citations into it
- Optimization & Training — 12 citations into it
- Aerospace Engineering — 11 citations into it
- Efficiency & Compression — 6 citations into it
Whom Juan R. Terven trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Tsung-Yi Lin
- Christian Szegedy
- Alex Krizhevsky
- Geoffrey E. Hinton
- Shaoqing Ren
- Sergey Ioffe
- X. Zhang
- Yoshua Bengio
Who trusts Juan R. Terven overall
Papers from Juan R. Terven's perspective
Ordered by how strongly the researchers Juan R. Terven 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- A comprehensive survey of loss functions and metrics in deep learning (2023) — 304 citations
- A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS (2023) — 2,722 citations
- A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond (2023) — 524 citations