Jinjun Wang
Computer Vision and Pattern Recognition · with Gong · 2009–2021
A researcher in the Science corpus: 6 papers; trusts 425 researchers and is trusted by 1,320 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 127 citations into it; #1,140 of 21,575 by trust here, #2,055 by citations
- Artificial Intelligence — 63 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Biomedical Engineering — 14 citations into it; #2,069 of 10,734 by trust here, #2,900 by citations
- Media Technology — 8 citations into it; #422 of 3,621 by trust here, #133 by citations
- Evaluation & Benchmarks — 7 citations into it
- Generative Models — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Jinjun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Andrew Zisserman
- Li Fei-Fei
- Navneet Dalal
- Jianguo Zhang
- Ross B. Girshick
- David G. Lowe
- Yoshua Bengio
Who trusts Jinjun Wang overall
- Jia Deng
- Aditya Khosla
- Lingxi Xie
- Andrea Vedaldi
- Li Fei-Fei
- Yi Yang
- Andrew Zisserman
- Kaiming He
- Liang Zheng
- Yangqing Jia
Papers from Jinjun Wang's perspective
Ordered by how strongly the researchers Jinjun Wang 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
- Locality-constrained Linear Coding for image classification (2010) — 3,382 citations
- Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function (2016) — 1,326 citations
- Multi-target tracking by learning local-to-global trajectory models (2015) — 63 citations
- Memory-Free Generative Replay For Class-Incremental Learning (2021) — 10 citations
- Summarizing surveillance videos with local-patch-learning-based abnormality detection, blob sequence optimization, and type-based synopsis (2015) — 60 citations
- Detecting Human Actions in Surveillance Videos (2009) — 42 citations