Liming Jiang
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 487 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 151 citations into it
- Generative Models — 61 citations into it
- Artificial Intelligence — 37 citations into it
- Signal Processing — 20 citations into it
- Model Architectures — 13 citations into it
- Optimization & Training — 12 citations into it
- Media Technology — 11 citations into it
Whom Liming Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Sergey Ioffe
- Ross B. Girshick
- Yoshua Bengio
- Christian Szegedy
Who trusts Liming Jiang overall
- Kaede Shiohara
- Hasam Khalid
- Yong Zhang
- Alexandros Haliassos
- Chunming He
- Tianchen Zhao
- Toshihiko Yamasaki
- Shahroz Tariq
- Yibing Song
- Konstantinos Vougioukas
Papers from Liming Jiang's perspective
Ordered by how strongly the researchers Liming 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection (2020) — 617 citations
- CelebV-HQ: A Large-Scale Video Facial Attributes Dataset (2022) — 325 citations
- Focal Frequency Loss for Image Reconstruction and Synthesis (2020) — 467 citations