On the public citation graph

Learning Label Preserving Binary Codes for Multimedia Retrieval

https://doi.org/10.1145/3152126
0 signed · 68 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-46478-7_26openalex-snapshot
Kernel-Based Supervised Discrete Hashing for Image Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2010.5539928openalex-snapshot
Data fusion through cross-modality metric learning using similarity-sensitive hashing
inferredcites →https://doi.org/10.1109/cvpr.2011.5995432openalex-snapshot
Iterative quantization: A procrustean approach to learning binary codes
inferredcites →https://doi.org/10.1109/cvpr.2012.6247912openalex-snapshot
Supervised hashing with kernels
inferredcites →https://doi.org/10.1109/cvpr.2012.6248043openalex-snapshot
Fast search in Hamming space with multi-index hashing
inferredcites →https://doi.org/10.1109/cvpr.2013.379openalex-snapshot
Optimized Product Quantization for Approximate Nearest Neighbor Search
inferredcites →https://doi.org/10.1109/cvpr.2014.253openalex-snapshot
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
inferredcites →https://doi.org/10.1109/cvpr.2014.267openalex-snapshot
Collective Matrix Factorization Hashing for Multimodal Data
inferredcites →https://doi.org/10.1109/cvpr.2015.7298598openalex-snapshot
Supervised Discrete Hashing
inferredcites →https://doi.org/10.1109/cvpr.2015.7298947openalex-snapshot
Simultaneous feature learning and hash coding with deep neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7299011openalex-snapshot
Semantics-preserving hashing for cross-view retrieval
inferredcites →https://doi.org/10.1109/cvpr.2015.7299052openalex-snapshot
Tree quantization for large-scale similarity search and classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7299085openalex-snapshot
Sparse composite quantization
inferredcites →https://doi.org/10.1109/cvpr.2016.165openalex-snapshot
Efficient Training of Very Deep Neural Networks for Supervised Hashing
inferredcites →https://doi.org/10.1109/cvpr.2016.224openalex-snapshot
Collaborative Quantization for Cross-Modal Similarity Search
inferredcites →https://doi.org/10.1109/cvpr.2017.348openalex-snapshot
Deep Cross-Modal Hashing
inferredcites →https://doi.org/10.1109/cvpr31182.2015openalex-snapshot
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/iccv.2013.317openalex-snapshot
A General Two-Step Approach to Learning-Based Hashing
inferredcites →https://doi.org/10.1109/iccv.2015.219openalex-snapshot
Alternating Co-Quantization for Cross-Modal Hashing
inferredcites →https://doi.org/10.1109/icdm.2016.0184openalex-snapshot
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization
inferredcites →https://doi.org/10.1109/icdm38702.2016openalex-snapshot
2016 IEEE 16th International Conference on Data Mining (ICDM)
inferredcites →https://doi.org/10.1109/icme.2016.7552884openalex-snapshot
Cross-modal hashing through ranking subspace learning
inferredcites →https://doi.org/10.1109/ism.2016.0121openalex-snapshot
Supervised Ranking Hash for Semantic Similarity Search
inferredcites →https://doi.org/10.1109/ism46123.2019openalex-snapshot
2019 IEEE International Symposium on Multimedia (ISM)
inferredcites →https://doi.org/10.1109/tip.2014.2326010openalex-snapshot
Scalable Similarity Search With Topology Preserving Hashing
inferredcites →https://doi.org/10.1109/tmm.2014.2306392openalex-snapshot
A Prior-Free Weighting Scheme for Binary Code Ranking
inferredcites →https://doi.org/10.1109/tmm.2016.2616177openalex-snapshot
IEEE International Conference on Multimedia and Expo (ICME) 2017
inferredcites →https://doi.org/10.1109/tmm.2016.2625747openalex-snapshot
Cross-Modal Hashing via Rank-Order Preserving
inferredcites →https://doi.org/10.1109/tpami.2010.57openalex-snapshot
Product Quantization for Nearest Neighbor Search
inferredcites →https://doi.org/10.1109/tpami.2013.225openalex-snapshot
Multimodal Similarity-Preserving Hashing
inferredcites →https://doi.org/10.1109/tpami.2016.2610969openalex-snapshot
Linear Subspace Ranking Hashing for Cross-Modal Retrieval
inferredcites →https://doi.org/10.1142/s1793351x17400074openalex-snapshot
Semantic Image Retrieval with Feature Space Rankings
inferredcites →https://doi.org/10.1145/2339530.2339678openalex-snapshot
A probabilistic model for multimodal hash function learning
inferredcites →https://doi.org/10.1145/2463676.2465274openalex-snapshot
Inter-media hashing for large-scale retrieval from heterogeneous data sources
inferredcites →https://doi.org/10.1145/2600428.2609610openalex-snapshot
Latent semantic sparse hashing for cross-modal similarity search
inferredcites →https://doi.org/10.1145/2911451.2911493openalex-snapshot
Composite Correlation Quantization for Efficient Multimodal Retrieval
inferredcites →https://doi.org/10.1145/2911996.2912000openalex-snapshot
Correlation Autoencoder Hashing for Supervised Cross-Modal Search
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/997817.997857openalex-snapshot
Locality-sensitive hashing scheme based on p-stable distributions
inferredcites →https://doi.org/10.1609/aaai.v28i1.8995openalex-snapshot
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization
inferredcites →https://doi.org/10.1609/aaai.v30i1.10176openalex-snapshot
Column Sampling Based Discrete Supervised Hashing
inferredcites →https://doi.org/10.1609/aaai.v31i1.11218openalex-snapshot
Collective Deep Quantization for Efficient Cross-Modal Retrieval
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
inferredcites →https://doi.org/10.48550/arxiv.1603.05572openalex-snapshot
Supervised Matrix Factorization for Cross-Modality Hashing
inferredcites →https://doi.org/10.5244/c.31.128openalex-snapshot
Correlation Hashing Network for Efficient Cross-Modal Retrieval

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-00767-6_68openalex-snapshot
Deep Residual Net Based Compact Feature Representation for Image Retrieval
inferred← citeshttps://doi.org/10.1007/s10922-020-09545-wopenalex-snapshot
Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective
inferred← citeshttps://doi.org/10.1007/s12652-020-02177-7openalex-snapshot
Modality-specific matrix factorization hashing for cross-modal retrieval
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107603openalex-snapshot
Time series classification models based on nonlinear spiking neural P systems
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.10.041openalex-snapshot
Reservoir computing models based on spiking neural P systems for time series classification
inferred← citeshttps://doi.org/10.1109/access.2019.2910198openalex-snapshot
Modal-Dependent Retrieval Based on Mid-Level Semantic Enhancement Space
inferred← citeshttps://doi.org/10.1109/icmla.2019.00160openalex-snapshot
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm
inferred← citeshttps://doi.org/10.1109/jsen.2020.3009312openalex-snapshot
Early Transportation Mode Detection Using Smartphone Sensing Data
inferred← citeshttps://doi.org/10.1109/tbdata.2019.2954516openalex-snapshot
Weakly-supervised Cross-modal Hashing
inferred← citeshttps://doi.org/10.1109/tcyb.2018.2883970openalex-snapshot
Graph Convolutional Network Hashing
inferred← citeshttps://doi.org/10.1109/tip.2017.2776745openalex-snapshot
Semantic Neighbor Graph Hashing for Multimodal Retrieval
inferred← citeshttps://doi.org/10.1109/tip.2018.2883522openalex-snapshot
Deep Ordinal Hashing With Spatial Attention
inferred← citeshttps://doi.org/10.1109/tmm.2020.2978593openalex-snapshot
Boosting Temporal Binary Coding for Large-Scale Video Search
inferred← citeshttps://doi.org/10.1109/tpami.2019.2907086openalex-snapshot
Learning to Index for Nearest Neighbor Search
inferred← citeshttps://doi.org/10.1145/3206025.3206066openalex-snapshot
Cross-Modal Retrieval Using Deep De-correlated Subspace Ranking Hashing
inferred← citeshttps://doi.org/10.1145/3284750openalex-snapshot
CM-GANs
inferred← citeshttps://doi.org/10.1145/3355394openalex-snapshot
Efficient Image Hashing with Geometric Invariant Vector Distance for Copy Detection
inferred← citeshttps://doi.org/10.1145/3460426.3463580openalex-snapshot
2.5D Pose Guided Human Image Generation
inferred← citeshttps://doi.org/10.1145/3501799openalex-snapshot
Densely Enhanced Semantic Network for Conversation System in Social Media
inferred← citeshttps://doi.org/10.1145/3589185openalex-snapshot
Weakly Supervised Hashing with Reconstructive Cross-modal Attention
inferred← citeshttps://doi.org/10.1145/3633284openalex-snapshot
Detecting Post Editing of Multimedia Images using Transfer Learning and Fine Tuning
inferred← citeshttps://doi.org/10.48550/arxiv.1809.02681openalex-snapshot
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.