activity
20172022
most citedCM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning

64 citations · 79 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GR2022★ 1 cited

Text/Speech-Driven Full-Body Animation

Wenlin Zhuang, Jinwei Qi, Peng Zhang +2

Due to the increasing demand in films and games, synthesizing 3D avatar animation has attracted much attention recently. In this work, we present a production-ready text/speech-dri…

cs.MM2018★ 5 cited

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…

cs.MM2017★ 64 cited

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…

cs.CV2017★ 3 cited

Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network

Yuxin Peng, Jinwei Qi, Yuxin Yuan

Nowadays, cross-modal retrieval plays an indispensable role to flexibly find information across different modalities of data. Effectively measuring the similarity between different…

cs.MM2017★ 1 cited

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…

cs.MM2017★ 5 cited

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…