Chenfanfu Jiang
Computer Vision and Pattern Recognition · with Zhu · 2015–2018
A researcher in the Science corpus: 4 papers; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 92 citations into it
- Computational Mechanics — 37 citations into it
- Artificial Intelligence — 32 citations into it
- Computer Graphics and Computer-Aided Design — 32 citations into it
- Control and Systems Engineering — 10 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Media Technology — 5 citations into it
Whom Chenfanfu Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Deborah Sulsky
- Robert Bridson
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Antonio Torralba
Who trusts Chenfanfu Jiang overall
Papers from Chenfanfu Jiang's perspective
Ordered by how strongly the researchers Chenfanfu Jiang 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars (2017) — 86 citations
- A moving least squares material point method with displacement discontinuity and two-way rigid body coupling (2018) — 401 citations
- The material point method for simulating continuum materials (2016) — 309 citations
- The affine particle-in-cell method (2015) — 476 citations