Jiangqun Ni
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #5,882 of 21,575 by trust here, #14,151 by citations
- Artificial Intelligence — 11 citations into it
- Model Architectures — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Jiangqun Ni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xavier Glorot
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jessica J. Fridrich
- Chih-Jen Lin
- Matthew D. Zeiler
- Yann LeCun
- Vinod Nair
- Sergey Ioffe
Who trusts Jiangqun Ni overall
- Luisa Verdoliva
- Peng Zhou
- Utkarsh Ojha
- Nils Hulzebosch
- Xintong Han
- Jawadul H. Bappy
- Mehdi Boroumand
- Mehdi Yedroudj
- Xuefeng Hu
- Ru Zhang
Papers from Jiangqun Ni's perspective
Ordered by how strongly the researchers Jiangqun Ni 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A deep learning approach to detection of splicing and copy-move forgeries in images (2016) — 485 citations
- Deep Learning Hierarchical Representations for Image Steganalysis (2017) — 736 citations