401 citations · 1.3k across the 36 of their papers we have counts for
9 papers · 1 filter
Cross-media Multi-level Alignment with Relation Attention Network
Jinwei Qi, Yuxin Peng, Yuxin Yuan
With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Natura…
Deep Cross-media Knowledge Transfer
Xin Huang, Yuxin Peng
Cross-media retrieval is a research hotspot in multimedia area, which aims to perform retrieval across different media types such as image and text. The performance of existing met…
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
Yuxin Peng, Jinwei Qi, Yuxin Yuan
It is known that the inconsistent distribution and representation of different modalities, such as image and text, cause the heterogeneity gap that makes it challenging to correlat…
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…
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…
Cross-media Similarity Metric Learning with Unified Deep Networks
Jinwei Qi, Xin Huang, Yuxin Peng
As a highlighting research topic in the multimedia area, cross-media retrieval aims to capture the complex correlations among multiple media types. Learning better shared represent…
An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges
Yuxin Peng, Xin Huang, Yunzhen Zhao
Multimedia retrieval plays an indispensable role in big data utilization. Past efforts mainly focused on single-media retrieval. However, the requirements of users are highly flexi…
CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
Yuxin Peng, Jinwei Qi, Xin Huang +1
Cross-modal retrieval has become a highlighted research topic for retrieval across multimedia data such as image and text. A two-stage learning framework is widely adopted by most…
Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition
Zhiwu Lu, Yuxin Peng
This paper proposes a novel latent semantic learning method for extracting high-level features (i.e. latent semantics) from a large vocabulary of abundant mid-level features (i.e.…