105 citations · 126 across the 22 of their papers we have counts for
4 papers · 2 filters
How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation
Jie Ruan, Yue Wu, Xiaojun Wan +1
Sarcasm generation has been investigated in previous studies by considering it as a text-to-text generation problem, i.e., generating a sarcastic sentence for an input sentence. In…
Region-aware Attention for Image Inpainting
Zhilin Huang, Chujun Qin, Zhenyu Weng +1
Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image. However, they tend to generate blurry conten…
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification
Longhui Yu, Zhenyu Weng, Yuqing Wang +1
Incremental learning methods can learn new classes continually by distilling knowledge from the last model (as a teacher model) to the current model (as a student model) in the seq…
Interactive Image Inpainting Using Semantic Guidance
Wangbo Yu, Jinhao Du, Ruixin Liu +2
Image inpainting approaches have achieved significant progress with the help of deep neural networks. However, existing approaches mainly focus on leveraging the priori distributio…