S
Siliang Tang
Researcher at Zhejiang University
Publications - 119
Citations - 1581
Siliang Tang is an academic researcher from Zhejiang University. The author has contributed to research in topics: Computer science & Context (language use). The author has an hindex of 17, co-authored 112 publications receiving 1017 citations. Previous affiliations of Siliang Tang include Maynooth University.
Papers
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Journal ArticleDOI
Sparse Multi-Modal Hashing
TL;DR: The experimental results show that SM2H outperforms other methods in terms of mAP and Percentage on two real-world data sets.
Journal ArticleDOI
Rethinking the Bottom-Up Framework for Query-Based Video Localization
TL;DR: It is argued that the performance of bottom-up framework is severely underestimated by current unreasonable designs, including both the backbone and head network, and designed a novel top-up model: Graph-FPN with Dense Predictions (GDP).
Journal ArticleDOI
MRFN: Multi-Receptive-Field Network for Fast and Accurate Single Image Super-Resolution
TL;DR: This paper proposes a new solution (named as Multi-Receptive-Field Network - MRFN), which outperforms existing SISR solutions in three different aspects and can achieve more accurate recovering results than most state-of-the-art methods with significantly less complexity.
Journal ArticleDOI
Cascaded Deep Networks With Multiple Receptive Fields for Infrared Image Super-Resolution
TL;DR: A cascaded architecture of deep neural networks with multiple receptive fields is presented to increase the spatial resolution of infrared images by a large scale factor and achieves improved reconstruction accuracy using significantly fewer parameters.
Proceedings ArticleDOI
A low rank structural large margin method for cross-modal ranking
TL;DR: A general cross-modal ranking algorithm to optimize the listwise ranking loss with a low rank embedding, which is called Latent Semantic Cross-Modal Ranking (LSCMR) and shows significant improvements over the state-of-the-art methods.