50 citations · 86 across the 8 of their papers we have counts for
8 papers
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Xingjia Pan, Yuqiang Ren, Kekai Sheng +5
Object detection has achieved remarkable progress in the past decade. However, the detection of oriented and densely packed objects remains challenging because of following inheren…
Distribution Aligned Multimodal and Multi-Domain Image Stylization
Minxuan Lin, Fan Tang, Weiming Dong +3
Multimodal and multi-domain stylization are two important problems in the field of image style transfer. Currently, there are few methods that can perform both multimodal and multi…
Arbitrary Style Transfer via Multi-Adaptation Network
Yingying Deng, Fan Tang, Weiming Dong +3
Arbitrary style transfer is a significant topic with research value and application prospect. A desired style transfer, given a content image and referenced style painting, would r…
Multi-Attribute Guided Painting Generation
Minxuan Lin, Yingying Deng, Fan Tang +2
Controllable painting generation plays a pivotal role in image stylization. Currently, the control way of style transfer is subject to exemplar-based reference or a random one-hot…
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Kekai Sheng, Weiming Dong, Menglei Chai +6
Visual aesthetic assessment has been an active research field for decades. Although latest methods have achieved promising performance on benchmark datasets, they typically rely on…
Incremental Concept Learning via Online Generative Memory Recall
Huaiyu Li, Weiming Dong, Bao-Gang Hu
The ability to learn more and more concepts over time from incrementally arriving data is essential for the development of a life-long learning system. However, deep neural network…