Kekai Sheng
Shandong Institute of Automation(CN)
Publications by Year
Research Areas
Visual Attention and Saliency Detection, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Face recognition and analysis, Multimodal Machine Learning Applications
Most-Cited Works
- → Dynamic Refinement Network for Oriented and Densely Packed Object Detection(2020)401 cited
- → Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer(2022)161 cited
- → Transformers in computational visual media: A survey(2021)128 cited
- → Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment(2018)118 cited
- → Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing(2021)115 cited
- → Dual Reweighting Domain Generalization for Face Presentation Attack Detection(2021)86 cited
- → Generative Domain Adaptation for Face Anti-Spoofing(2022)62 cited
- → Training-free Transformer Architecture Search(2022)50 cited
- → Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning(2020)33 cited
- → ARM: Any-Time Super-Resolution Method(2022)28 cited