Mengqi Ji
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 255 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it
- Artificial Intelligence — 17 citations into it
- Model Architectures — 13 citations into it
- Computational Mechanics — 7 citations into it
- Computer Graphics and Computer-Aided Design — 7 citations into it
- Generative Models — 6 citations into it
Whom Mengqi Ji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Karen Simonyan
- Yasutaka Furukawa
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
- Andrew Zisserman
- Sergey Ioffe
- Ross B. Girshick
- Kaiming He
Who trusts Mengqi Ji overall
- Yao Yao
- Zixin Luo
- Zeng Huang
- Hamid Laga
- Fangjinhua Wang
- Jiaming Sun
- Shunsuke Saito
- Jamie Watson
- Despoina Paschalidou
- Xiaodong Gu
Papers from Mengqi Ji's perspective
Ordered by how strongly the researchers Mengqi Ji 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis (2017) — 455 citations
- Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation (2015) — 10 citations