Yue Wu
Computer Vision and Pattern Recognition · 8 papers · 2011–2019
A researcher in the Science corpus: 8 papers; trusts 529 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 138 citations into it; #7,111 of 21,575 by trust here, #10,010 by citations
- Artificial Intelligence — 29 citations into it
- Generative Models — 23 citations into it
- Media Technology — 18 citations into it; #1,179 of 3,621 by trust here, #2,280 by citations
- Mathematical Physics — 15 citations into it; #5,746 of 8,562 by trust here, #5,794 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Biophysics — 10 citations into it; #272 of 1,196 by trust here, #880 by citations
- Statistical and Nonlinear Physics — 10 citations into it
Whom Yue Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Andrew Zisserman
- Davide Cozzolino
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- Guanrong Chen
Who trusts Yue Wu overall
- Zhongyun Hua
- Luisa Verdoliva
- Yicong Zhou
- Xuefeng Hu
- Kiran Garimella
- Wael AbdAlmageed
- Chengbo Dong
- Ayush Jaiswal
- Zhihan Zhang
- Dean Eckles
Papers from Yue Wu's perspective
Ordered by how strongly the researchers Yue Wu 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Bidirectional Conditional Generative Adversarial Networks (2017) — 42 citations
- ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features (2019) — 655 citations
- Unsupervised Adversarial Invariance (2018) — 52 citations
- Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild (2019) — 102 citations
- BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization (2018) — 306 citations
- Image encryption using the two-dimensional logistic chaotic map (2012) — 315 citations
- NPCR and UACI Randomness Tests for Image Encryption (2011) — 1,431 citations
- Shannon Entropy based Randomness Measurement and Test for Image Encryption (2011) — 581 citations