Tingting Jiang
Computer Vision and Pattern Recognition · with Liu · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 377 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 61 citations into it; #14,411 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 29 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Media Technology — 7 citations into it
- Model Architectures — 5 citations into it
Whom Tingting Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- A. Bovik
- Alex Krizhevsky
- Jia Deng
- Andrew Zisserman
- Yoshua Bengio
- Jimmy Ba
- Colin S. Lea
Who trusts Tingting Jiang overall
Papers from Tingting Jiang's perspective
Ordered by how strongly the researchers Tingting Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization (2019) — 237 citations
- Quality Assessment of In-the-Wild Videos (2019) — 420 citations
- Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification (2018) — 70 citations