Cláudio T. Silva
Computer Graphics and Computer-Aided Design · 1999–2021
A researcher in the Science corpus: 13 papers; trusts 37 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Computer Graphics and Computer-Aided Design — 122 citations into it; #192 of 1,584 by trust here, #194 by citations
- Computational Mechanics — 100 citations into it; #1,157 of 10,001 by trust here, #792 by citations
- Computer Vision and Pattern Recognition — 77 citations into it; #9,812 of 21,575 by trust here, #6,031 by citations
- Aerospace Engineering — 32 citations into it
- 3D Vision & Pose — 30 citations into it
- Artificial Intelligence — 19 citations into it; #29,364 of 35,345 by trust here, #24,417 by citations
- Optimization & Training — 9 citations into it
Whom Cláudio T. Silva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gabriel Taubin
- Brian Curless
- David Levin
- Nina Amenta
- Marc Levoy
- Marc Alexa
- Fausto Bernardini
- Chandrajit L. Bajaj
- Yutaka Ohtake
- Hugues Hoppe
Who trusts Cláudio T. Silva overall
- M. Berger
- Gaël Guennebaud
- Julie Digne
- Lequan Yu
- Gabriel Taubin
- Daniel Cohen-Or
- Sagi Katz
- Radu Bogdan Rusu
- Hui Huang
- Julian Chibane
Papers from Cláudio T. Silva's perspective
Ordered by how strongly the researchers Cláudio T. Silva trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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)
- Reinforcement Learning: An Introduction
- A volumetric method for building complex models from range images
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Point set surfaces (2001) — 892 citations
- Computing and Rendering Point Set Surfaces (2003) — 1,208 citations
- AlphaD3M: Machine Learning Pipeline Synthesis (2021) — 93 citations
- Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar (2019) — 30 citations
- A Survey of Surface Reconstruction from Point Clouds (2017) — 580 citations
- State of the Art in Surface Reconstruction from Point Clouds (2014) — 403 citations
- Quad‐Mesh Generation and Processing: A Survey (2013) — 379 citations
- 1 An End-to-End Framework for Evaluating Surface Reconstruction (2011)
- Managing Rapidly-Evolving Scientific Workflows (2006) — 305 citations
- Robust moving least-squares fitting with sharp features (2005) — 687 citations
- VisTrails: enabling interactive multiple-view visualizations (2005) — 437 citations
- A Survey of Visibility for Walkthrough Applications (2003) — 492 citations
- The ball-pivoting algorithm for surface reconstruction (1999)