Shikui Wei
Computer Vision and Pattern Recognition · 2010–2024
A researcher in the Science corpus: 7 papers; trusts 931 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 252 citations into it; #20,592 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 81 citations into it
- Evaluation & Benchmarks — 33 citations into it
- Generative Models — 25 citations into it
- Model Architectures — 15 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Aerospace Engineering — 8 citations into it
- Media Technology — 7 citations into it
Whom Shikui Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Diederik P. Kingma
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
- Andrew Zisserman
- David G. Lowe
Who trusts Shikui Wei overall
Papers from Shikui Wei's perspective
Ordered by how strongly the researchers Shikui Wei 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Multimodal Fusion for Video Search Reranking (2010) — 86 citations
- Interactive Object Segmentation With Inside-Outside Guidance (2020) — 135 citations
- Cross-Modal Retrieval With CNN Visual Features: A New Baseline (2017) — 370 citations
- Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection (2024) — 392 citations
- Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning (2024) — 299 citations
- Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection (2023) — 296 citations
- Interactive Object Segmentation With Inside-Outside Guidance (2022) — 15 citations