68 citations · 241 across the 16 of their papers we have counts for
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cs.CV2018★ 1 cited
Dense Multimodal Fusion for Hierarchically Joint Representation
Di Hu, Feiping Nie, Xuelong Li
Multiple modalities can provide more valuable information than single one by describing the same contents in various ways. Hence, it is highly expected to learn effective joint rep…
cs.CV2018
Deep LDA Hashing
Di Hu, Feiping Nie, Xuelong Li
The conventional supervised hashing methods based on classification do not entirely meet the requirements of hashing technique, but Linear Discriminant Analysis (LDA) does. In this…
cs.CV2018
Deep Multimodal Clustering for Unsupervised Audiovisual Learning
Di Hu, Feiping Nie, Xuelong Li
The seen birds twitter, the running cars accompany with noise, etc. These naturally audiovisual correspondences provide the possibilities to explore and understand the outside worl…