401 citations · 1.3k across the 36 of their papers we have counts for
16 papers · 1 filter
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…
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification
Yuxin Peng, Yunzhen Zhao, Junchao Zhang
Video classification is highly important with wide applications, such as video search and intelligent surveillance. Video naturally consists of static and motion information, which…
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…
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
Xiangteng He, Yuxin Peng, Junjie Zhao
Fine-grained image classification is to recognize hundreds of subcategories in each basic-level category. Existing methods employ discriminative localization to find the key distin…
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
Xiangteng He, Yuxin Peng, Junjie Zhao
Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflec…
Fine-grained Visual-textual Representation Learning
Xiangteng He, Yuxin Peng
Fine-grained visual categorization is to recognize hundreds of subcategories belonging to the same basic-level category, which is a highly challenging task due to the quite subtle…
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…
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…
Fine-graind Image Classification via Combining Vision and Language
Xiangteng He, Yuxin Peng
Fine-grained image classification is a challenging task due to the large intra-class variance and small inter-class variance, aiming at recognizing hundreds of sub-categories belon…
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…
Cross-modal Deep Metric Learning with Multi-task Regularization
Xin Huang, Yuxin Peng
DNN-based cross-modal retrieval has become a research hotspot, by which users can search results across various modalities like image and text. However, existing methods mainly foc…
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…
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng, Xiangteng He, Junjie Zhao
Fine-grained image classification is to recognize hundreds of subcategories belonging to the same basic-level category, such as 200 subcategories belonging to the bird, which is hi…
Saliency-guided video classification via adaptively weighted learning
Yunzhen Zhao, Yuxin Peng
Video classification is productive in many practical applications, and the recent deep learning has greatly improved its accuracy. However, existing works often model video frames…