Vitor Campanholo Guizilini
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 509 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 115 citations into it; #8,385 of 21,575 by trust here, #6,795 by citations
- Aerospace Engineering — 38 citations into it; #1,865 of 6,421 by trust here, #1,602 by citations
- Artificial Intelligence — 29 citations into it
- Media Technology — 17 citations into it
- Model Architectures — 16 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Optimization & Training — 10 citations into it
Whom Vitor Campanholo Guizilini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Shaoqing Ren
- Ilya Sutskever
Who trusts Vitor Campanholo Guizilini overall
- Junjie Huang
- Yue Wang
- Yingfei Liu
- Guan Huang
- Marvin Klingner
- Mathias Gehrig
- Dennis Park
- Jamie Watson
- Shariq Farooq Bhat
- Luigi Piccinelli
Papers from Vitor Campanholo Guizilini's perspective
Ordered by how strongly the researchers Vitor Campanholo Guizilini 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
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries (2021) — 1,126 citations
- Is Pseudo-Lidar needed for Monocular 3D Object detection? (2021) — 411 citations
- 3D Packing for Self-Supervised Monocular Depth Estimation (2019) — 818 citations