Joseph Tighe
Computer Vision and Pattern Recognition · 2010–2021
A researcher in the Science corpus: 5 papers; trusts 835 researchers and is trusted by 3,116 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 152 citations into it; #655 of 21,575 by trust here, #3,222 by citations
- Artificial Intelligence — 45 citations into it
- Model Architectures — 24 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Aerospace Engineering — 14 citations into it
- Media Technology — 10 citations into it
- Natural Language Processing — 8 citations into it; #651 of 5,688 by trust here, #1,801 by citations
Whom Joseph Tighe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ce Liu
- Antonio Torralba
- Pedro F. Felzenszwalb
- Alexei A. Efros
- Yuri Boykov
- Geoffrey E. Hinton
- Svetlana Lazebnik
- Vladimir Kolmogorov
- Ross B. Girshick
- Alex Krizhevsky
Who trusts Joseph Tighe overall
- John Lambert
- Kaiming He
- Xuming He
- Ross B. Girshick
- David Eigen
- Ziyu Zhang
- Jitendra Malik
- Alexander Kirillov
- Jimei Yang
- Richard Socher
Papers from Joseph Tighe's perspective
Ordered by how strongly the researchers Joseph Tighe 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Superparsing (2010) — 674 citations
- Finding Things: Image Parsing with Regions and Per-Exemplar Detectors (2013) — 227 citations
- Scene Parsing with Object Instances and Occlusion Ordering (2014) — 142 citations
- VidTr: Video Transformer Without Convolutions (2021) — 226 citations
- Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors (2015) — 24 citations