Thomas Roddick
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 337 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #4,319 of 21,575 by trust here, #8,952 by citations
- Aerospace Engineering — 16 citations into it; #1,384 of 6,421 by trust here, #2,315 by citations
- Artificial Intelligence — 11 citations into it
- Automotive Engineering — 7 citations into it
- Environmental Engineering — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Thomas Roddick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Tsung-Yi Lin
- Shaoqing Ren
- Yann LeCun
- X. Zhang
- Xiaozhi Chen
- Yoshua Bengio
Who trusts Thomas Roddick overall
- Brady Zhou
- Jonah Philion
- Cody Reading
- Tai Wang
- Zhijian Liu
- Junjie Huang
- Xuyang Bai
- Xinge Zhu
- Sanja Fidler
- Philipp Krahenbuhl
Papers from Thomas Roddick's perspective
Ordered by how strongly the researchers Thomas Roddick 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Orthographic Feature Transform for Monocular 3D Object Detection (2018) — 417 citations
- Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks (2020) — 308 citations