On the public citation graph

Boost image captioning with knowledge reasoning

0 signed · 79 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-030-01216-8_31openalex-snapshot
Recurrent Fusion Network for Image Captioning
inferredcites →https://doi.org/10.1007/978-3-030-11018-5_12openalex-snapshot
Distinctive-Attribute Extraction for Image Captioning
inferredcites →https://doi.org/10.1016/j.neucom.2018.05.080openalex-snapshot
A survey on automatic image caption generation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot
Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/cvpr.2015.7299087openalex-snapshot
CIDEr: Consensus-based image description evaluation
inferredcites →https://doi.org/10.1109/cvpr.2016.494openalex-snapshot
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
inferredcites →https://doi.org/10.1109/cvpr.2016.503openalex-snapshot
Image Captioning with Semantic Attention
inferredcites →https://doi.org/10.1109/cvpr.2016.8openalex-snapshot
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
inferredcites →https://doi.org/10.1109/cvpr.2017.128openalex-snapshot
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward
inferredcites →https://doi.org/10.1109/cvpr.2017.131openalex-snapshot
Self-Critical Sequence Training for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.334openalex-snapshot
Top-Down Visual Saliency Guided by Captions
inferredcites →https://doi.org/10.1109/cvpr.2017.345openalex-snapshot
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.559openalex-snapshot
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects
inferredcites →https://doi.org/10.1109/cvpr.2017.667openalex-snapshot
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.681openalex-snapshot
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.780openalex-snapshot
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.00207openalex-snapshot
Scene Graph Generation With External Knowledge and Image Reconstruction
inferredcites →https://doi.org/10.1109/cvpr.2019.00856openalex-snapshot
Look Back and Predict Forward in Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2019.01278openalex-snapshot
Pointing Novel Objects in Image Captioning
inferredcites →https://doi.org/10.1109/iccv.2015.277openalex-snapshot
Guiding the Long-Short Term Memory Model for Image Caption Generation
inferredcites →https://doi.org/10.1109/iccv.2017.100openalex-snapshot
Improved Image Captioning via Policy Gradient optimization of SPIDEr
inferredcites →https://doi.org/10.1109/iccv.2017.140openalex-snapshot
Areas of Attention for Image Captioning
inferredcites →https://doi.org/10.1109/iccv.2017.524openalex-snapshot
Boosting Image Captioning with Attributes
inferredcites →https://doi.org/10.1109/iccv.2017.64openalex-snapshot
Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner
inferredcites →https://doi.org/10.1109/iccv.2019.00271openalex-snapshot
Hierarchy Parsing for Image Captioning
inferredcites →https://doi.org/10.1109/iccv.2019.00473openalex-snapshot
Attention on Attention for Image Captioning
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2708709openalex-snapshot
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
inferredcites →https://doi.org/10.1109/wacv.2019.00036openalex-snapshot
Improving Image Captioning by Leveraging Knowledge Graphs
inferredcites →https://doi.org/10.1145/3143561openalex-snapshot
Metamorphic Testing
inferredcites →https://doi.org/10.1145/3177745openalex-snapshot
Paying More Attention to Saliency
inferredcites →https://doi.org/10.1145/3295748openalex-snapshot
A Comprehensive Survey of Deep Learning for Image Captioning
inferredcites →https://doi.org/10.1609/aaai.v30i1.10475openalex-snapshot
SentiCap: Generating Image Descriptions with Sentiments
inferredcites →https://doi.org/10.1609/aaai.v31i1.11197openalex-snapshot
Attention Correctness in Neural Image Captioning
inferredcites →https://doi.org/10.1609/aaai.v31i1.11198openalex-snapshot
Reference Based LSTM for Image Captioning
inferredcites →https://doi.org/10.1609/aaai.v31i1.11236openalex-snapshot
Image Caption with Global-Local Attention
inferredcites →https://doi.org/10.1609/aaai.v32i1.12283openalex-snapshot
Learning to Guide Decoding for Image Captioning
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018650openalex-snapshot
Learning Object Context for Dense Captioning
inferredcites →https://doi.org/10.3115/1073083.1073135openalex-snapshot
BLEU
inferredcites →https://doi.org/10.3115/1073445.1073465openalex-snapshot
Automatic evaluation of summaries using N-gram co-occurrence statistics
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1506.03099openalex-snapshot
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1612.03975openalex-snapshot
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

What points at this work

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

inferred← citeshttps://doi.org/10.1002/eng2.12785openalex-snapshot
Deep learning and knowledge graph for image/video captioning: A review of datasets, evaluation metrics, and methods
inferred← citeshttps://doi.org/10.1007/978-3-030-89188-6_15openalex-snapshot
Adversarial Training for Image Captioning Incorporating Relation Attention
inferred← citeshttps://doi.org/10.1007/978-3-031-84602-1_2openalex-snapshot
ViT-GPT2: Vision Transformer Based Automatic Image Captioning
inferred← citeshttps://doi.org/10.1007/978-981-97-7571-2_28openalex-snapshot
Comprehensive Analysis on Image Captioning Approaches
inferred← citeshttps://doi.org/10.1007/978-981-99-7022-3_19openalex-snapshot
Multilayer Vision and Language Augmented Transformer for Image Captioning
inferred← citeshttps://doi.org/10.1007/s10489-022-03624-yopenalex-snapshot
Enhance understanding and reasoning ability for image captioning
inferred← citeshttps://doi.org/10.1007/s10994-023-06440-8openalex-snapshot
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation
inferred← citeshttps://doi.org/10.1007/s11042-023-15555-yopenalex-snapshot
Automatic image caption generation using deep learning
inferred← citeshttps://doi.org/10.1007/s11042-023-18080-0openalex-snapshot
Taylor African vulture optimization algorithm with hybrid deep convolution neural network for image captioning system
inferred← citeshttps://doi.org/10.1007/s11042-026-21394-4openalex-snapshot
Enhanced image captioning with positional and dual attention using deep convolutional long short-term memory and emotional feedback mechanism
inferred← citeshttps://doi.org/10.1007/s44443-026-01085-8openalex-snapshot
Image captioning using a transformer with topic–word semantic modeling and multimodal feature fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106928openalex-snapshot
Mining graph-based dynamic relationships for object detection
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109134openalex-snapshot
Attribute-Driven Filtering: A new attributes predicting approach for fine-grained image captioning
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110358openalex-snapshot
Dynamic window sampling strategy for image captioning
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126956openalex-snapshot
Urban scene representation and summarization using knowledge graph
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104340openalex-snapshot
Improving image captioning with Pyramid Attention and SC-GAN
inferred← citeshttps://doi.org/10.1016/j.imavis.2022.104507openalex-snapshot
Fine-Grained Bidirectional Attentional Generation and Knowledge-Assisted Networks for Cross-Modal Retrieval
inferred← citeshttps://doi.org/10.1016/j.imavis.2022.104591openalex-snapshot
Modeling graph-structured contexts for image captioning
inferred← citeshttps://doi.org/10.1016/j.imavis.2023.104864openalex-snapshot
External knowledge-assisted Transformer for image captioning
inferred← citeshttps://doi.org/10.1016/j.joitmc.2024.100297openalex-snapshot
DTwin-TEC: An AI-based TEC district digital twin and emulating security events by leveraging knowledge graph
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109891openalex-snapshot
Multiple instance relation graph reasoning for cross-modal hash retrieval
inferred← citeshttps://doi.org/10.1016/j.neunet.2022.01.011openalex-snapshot
Dual Global Enhanced Transformer for image captioning
inferred← citeshttps://doi.org/10.1093/ct/qtae012openalex-snapshot
How verbal text guides the interpretation of advertisement images: a predictive typology of verbal anchoring
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746714openalex-snapshot
Exploring Dual Stream Global Information For Image Captioning
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747541openalex-snapshot
Mixed Knowledge Relation Transformer for Image Captioning
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747820openalex-snapshot
Improve Image Captioning Via Relation Modeling
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446104openalex-snapshot
Multi-Source Dynamic Interactive Network Collaborative Reasoning Image Captioning
inferred← citeshttps://doi.org/10.1109/iconscept61884.2024.10627857openalex-snapshot
Deep Learning Hybrid Technique for Generation of Image Caption
inferred← citeshttps://doi.org/10.1109/inc457730.2023.10263093openalex-snapshot
Image Captioning using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3155795openalex-snapshot
Adaptive Path Selection for Dynamic Image Captioning
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3525158openalex-snapshot
Enriched Image Captioning Based on Knowledge Divergence and Focus
inferred← citeshttps://doi.org/10.1142/s0129183125420033openalex-snapshot
An automatic image description generation technology and application for visually impaired individuals
inferred← citeshttps://doi.org/10.1145/3503161.3548058openalex-snapshot
Image-Text Matching with Fine-Grained Relational Dependency and Bidirectional Attention-Based Generative Networks
inferred← citeshttps://doi.org/10.33540/1709openalex-snapshot
Image Captioning with External Knowledge
inferred← citeshttps://doi.org/10.3390/electronics14163325openalex-snapshot
Image Captioning Model Based on Multi-Step Cross-Attention Cross-Modal Alignment and External Commonsense Knowledge Augmentation
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.