Xi Peng
Computer Vision and Pattern Recognition · AAAI Conference on Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 8 papers; trusts 591 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 202 citations into it; #17,610 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 119 citations into it; #28,683 of 35,345 by trust here, #16,771 by citations
- Representation & Self-Supervised Learning — 56 citations into it
- Media Technology — 44 citations into it
- Computational Mechanics — 20 citations into it
- Optimization & Training — 18 citations into it
- Signal Processing — 16 citations into it
- Model Architectures — 12 citations into it
Whom Xi Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Karen Simonyan
- Diederik P. Kingma
- Andrew Y. Ng
- Yann LeCun
- Yoshua Bengio
- Andrew Zisserman
- Ross B. Girshick
Who trusts Xi Peng overall
- Yijie Lin
- Zongbo Han
- Mouxing Yang
- Yuanbiao Gou
- Erlin Pan
- Peng Hu
- Changqing Zhang
- Yunfan Li
- Jiancheng Lv
Papers from Xi Peng's perspective
Ordered by how strongly the researchers Xi Peng 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Contrastive Clustering (2021) — 831 citations
- AnomalyNet: An Anomaly Detection Network for Video Surveillance (2019) — 317 citations
- Robust Multi-View Clustering With Incomplete Information (2022) — 355 citations
- COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (2021) — 440 citations
- CLEARER: Multi-Scale Neural Architecture Search for Image Restoration (2020) — 88 citations
- You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network (2020) — 282 citations
- COMIC: Multi-view Clustering Without Parameter Selection (2019) — 358 citations
- Structured AutoEncoders for Subspace Clustering (2018) — 326 citations