Jian Dong
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 8 papers; trusts 802 researchers and is trusted by 102 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 227 citations into it; #3,241 of 21,575 by trust here, #3,786 by citations
- Artificial Intelligence — 87 citations into it; #35,089 of 35,345 by trust here, #8,525 by citations
- Model Architectures — 24 citations into it
- Evaluation & Benchmarks — 21 citations into it
- Media Technology — 14 citations into it
- Optimization & Training — 14 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Aerospace Engineering — 10 citations into it
Whom Jian Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Kaiming He
- Andrew Zisserman
- Pedro F. Felzenszwalb
- Diederik P. Kingma
- David G. Lowe
- Yoshua Bengio
- Yann LeCun
Who trusts Jian Dong overall
- Ke Li
- Jitendra Malik
- Bharath Hariharan
- Xiaodan Liang
- Alan L. Yuille
- Fei Han
- Ross B. Girshick
- Yunchao Wei
- Chieh Hubert Lin
- Pablo Arbeláez
Papers from Jian Dong's perspective
Ordered by how strongly the researchers Jian Dong 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- Deep domain adaptation for describing people based on fine-grained clothing attributes (2015) — 264 citations
- HCP: A Flexible CNN Framework for Multi-Label Image Classification (2014) — 708 citations
- Attentive Contexts for Object Detection (2016) — 234 citations
- Towards Unified Object Detection and Semantic Segmentation (2014) — 74 citations
- Deep Human Parsing with Active Template Regression (2015) — 304 citations
- Very Long Natural Scenery Image Prediction by Outpainting (2019) — 99 citations
- Towards Unified Human Parsing and Pose Estimation (2014) — 110 citations
- Contextualizing Object Detection and Classification (2015) — 42 citations