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20152024
most citedDeep Binary Reconstruction for Cross-modal Hashing

41 citations · 193 across the 25 of their papers we have counts for

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9 papers · 1 filter

cs.CV2022

Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework

Liangchen Liu, Qiuhong Ke, Chaojie Li +2

Spectral clustering is an effective methodology for unsupervised learning. Most traditional spectral clustering algorithms involve a separate two-step procedure and apply the trans…

cs.CV202033 cited

Curriculum Audiovisual Learning

Di Hu, Zheng Wang, Haoyi Xiong +3

Associating sound and its producer in complex audiovisual scene is a challenging task, especially when we are lack of annotated training data. In this paper, we present a flexible…

cs.CV2019

Listen to the Image

Di Hu, Dong Wang, Xuelong Li +2

Visual-to-auditory sensory substitution devices can assist the blind in sensing the visual environment by translating the visual information into a sound pattern. To improve the tr…

cs.CV2018

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

Low Rank Regularization: A Review

Zhanxuan Hu, Feiping Nie, Rong Wang +1

Low rank regularization, in essence, involves introducing a low rank or approximately low rank assumption for matrix we aim to learn, which has achieved great success in many field…