Yang Yang
Computer Vision and Pattern Recognition · ACM Multimedia · 2013–2018
A researcher in the Science corpus: 9 papers; trusts 615 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 159 citations into it; #6,297 of 21,575 by trust here, #5,236 by citations
- Artificial Intelligence — 60 citations into it
- Representation & Self-Supervised Learning — 38 citations into it
- Information Retrieval & Search — 25 citations into it
- Multimodal Learning — 20 citations into it
- Media Technology — 16 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Signal Processing — 12 citations into it
Whom Yang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Ruslan Salakhutdinov
- Ross B. Girshick
Who trusts Yang Yang overall
- Shiv Ram Dubey
- Jingkuan Song
- Yu Zhang
- Erkun Yang
- Cheng Deng
- Xing Xu
- Dong Huang
- Tingting Qiao
- Xiaotong Zhang
- Bokun Wang
Papers from Yang Yang's perspective
Ordered by how strongly the researchers Yang Yang 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Inter-media hashing for large-scale retrieval from heterogeneous data sources (2013) — 616 citations
- Learning Binary Codes for Maximum Inner Product Search (2015) — 154 citations
- Adversarial Cross-Modal Retrieval (2017) — 756 citations
- Start from Scratch: Towards Automatically Identifying, Modeling, and Naming Visual Attributes (2014) — 83 citations
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (2018) — 372 citations
- Robust (Semi) Nonnegative Graph Embedding (2014) — 58 citations
- Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval (2017) — 427 citations
- Learning Visual Semantic Relationships for Efficient Visual Retrieval (2015) — 103 citations
- Multitask Spectral Clustering by Exploring Intertask Correlation (2015) — 168 citations