26 citations · 41 across the 9 of their papers we have counts for
5 papers · 1 filter
CgT-GAN: CLIP-guided Text GAN for Image Captioning
Jiarui Yu, Haoran Li, Yanbin Hao +3
The large-scale visual-language pre-trained model, Contrastive Language-Image Pre-training (CLIP), has significantly improved image captioning for scenarios without human-annotated…
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
Tong Xu, Micol Spitale, Hao Tang +3
Generating facial reactions in a human-human dyadic interaction is complex and highly dependent on the context since more than one facial reactions can be appropriate for the speak…
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation
Tong Xu, Lin Wang, Wu Ning +3
As a study on the efficient usage of data, Multi-source Unsupervised Domain Adaptation transfers knowledge from multiple source domains with labeled data to an unlabeled target dom…
Attention in Attention: Modeling Context Correlation for Efficient Video Classification
Yanbin Hao, Shuo Wang, Pei Cao +4
Attention mechanisms have significantly boosted the performance of video classification neural networks thanks to the utilization of perspective contexts. However, the current rese…
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection
Zhize Wu, Xiaofeng Wang, Tong Xu +4
Object recognition from images means to automatically find object(s) of interest and to return their category and location information. Benefiting from research on deep learning, l…