61 citations · 64 across the 4 of their papers we have counts for
5 papers
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint
Guanyu Cai, Lianghua He
Recent advances in unsupervised domain adaptation have seen considerable progress in semantic segmentation. Existing methods either align different domains with adversarial trainin…
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
Guanyu Cai, Jun Zhang, Xinyang Jiang +7
Text-based image retrieval has seen considerable progress in recent years. However, the performance of existing methods suffers in real life since the user is likely to provide an…
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Chenyang Gao, Guanyu Cai, Xinyang Jiang +6
Text-based person search aims at retrieving target person in an image gallery using a descriptive sentence of that person. It is very challenging since modal gap makes effectively…
Virtual Conditional Generative Adversarial Networks
Haifeng Shi, Guanyu Cai, Yuqin Wang +2
When trained on multimodal image datasets, normal Generative Adversarial Networks (GANs) are usually outperformed by class-conditional GANs and ensemble GANs, but conditional GANs…
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai, Yuqin Wang, Mengchu Zhou +1
Domain adaptation is widely used in learning problems lacking labels. Recent studies show that deep adversarial domain adaptation models can make markable improvements in performan…