most citedUnsupervised Generative Adversarial Cross-modal Hashing

15 citations · 40 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2018

Text-to-image Synthesis via Symmetrical Distillation Networks

Mingkuan Yuan, Yuxin Peng

Text-to-image synthesis aims to automatically generate images according to text descriptions given by users, which is a highly challenging task. The main issues of text-to-image sy…

cs.CV2018

SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network

Jian Zhang, Yuxin Peng, Mingkuan Yuan

Cross-modal hashing aims to map heterogeneous multimedia data into a common Hamming space, which can realize fast and flexible retrieval across different modalities. Supervised cro…

cs.CV201715 cited

Unsupervised Generative Adversarial Cross-modal Hashing

Jian Zhang, Yuxin Peng, Mingkuan Yuan

Cross-modal hashing aims to map heterogeneous multimedia data into a common Hamming space, which can realize fast and flexible retrieval across different modalities. Unsupervised c…

cs.MM201711 cited

MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval

Xin Huang, Yuxin Peng, Mingkuan Yuan

Cross-modal retrieval has drawn wide interest for retrieval across different modalities of data. However, existing methods based on DNN face the challenge of insufficient cross-mod…

cs.MM201714 cited

Cross-modal Common Representation Learning by Hybrid Transfer Network

Xin Huang, Yuxin Peng, Mingkuan Yuan

DNN-based cross-modal retrieval is a research hotspot to retrieve across different modalities as image and text, but existing methods often face the challenge of insufficient cross…