Stuart Golodetz
Computer Vision and Pattern Recognition · 2011–2020
A researcher in the Science corpus: 9 papers; trusts 274 researchers and is trusted by 100 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 288 citations into it; #3,193 of 21,575 by trust here, #1,738 by citations
- Artificial Intelligence — 53 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Stuart Golodetz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Martin Danelljan
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Navneet Dalal
- Richard Socher
Who trusts Stuart Golodetz overall
- Martin Danelljan
- Chao Ma
- Fahad Shahbaz Khan
- Hamed Kiani Galoogahi
- Goutam Bhat
- Luca Bertinetto
- Matej Kristan
- Michael Felsberg
- Ming-Hsuan Yang
- Philippe Weinzaepfel
Papers from Stuart Golodetz's perspective
Ordered by how strongly the researchers Stuart Golodetz 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Struck: Structured output tracking with kernels (2011) — 1,796 citations
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2014 Challenge Results (2014) — 512 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- Staple: Complementary Learners for Real-Time Tracking (2015) — 1,648 citations
- Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction (2015) — 213 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- Calibrating Deep Neural Networks using Focal Loss (2020) — 646 citations