On the public citation graph
Adaptive Attention-based High-level Semantic Introduction for Image Caption
0 signed · 62 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_2openalex-snapshot
Every Picture Tells a Story: Generating Sentences from Images
inferredcites →https://doi.org/10.1016/j.neucom.2018.02.112openalex-snapshot
Image captioning via semantic element embedding
inferredcites →https://doi.org/10.1016/j.neucom.2019.04.095openalex-snapshot
Stimulus-driven and concept-driven analysis for image caption generation
inferredcites →https://doi.org/10.1016/j.neucom.2019.08.012openalex-snapshot
A neural image captioning model with caption-to-images semantic constructor
inferredcites →https://doi.org/10.1109/access.2019.2917979openalex-snapshot
Cascade Semantic Fusion for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298754openalex-snapshot
From captions to visual concepts and back
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.2016.29openalex-snapshot
What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
inferredcites →https://doi.org/10.1109/cvpr.2016.503openalex-snapshot
Image Captioning with Semantic Attention
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.127openalex-snapshot
Semantic Compositional Networks for Visual Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.131openalex-snapshot
Self-Critical Sequence Training for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.345openalex-snapshot
Knowing When to Look: Adaptive Attention via a Visual Sentinel for 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.2017.140openalex-snapshot
Areas of Attention for Image Captioning
inferredcites →https://doi.org/10.1109/iccv.2017.272openalex-snapshot
Paying Attention to Descriptions Generated by Image Captioning Models
inferredcites →https://doi.org/10.1109/iccv.2017.524openalex-snapshot
Boosting Image Captioning with Attributes
inferredcites →https://doi.org/10.1109/iccv19984.2013openalex-snapshot
2013 IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/tmm.2017.2729019openalex-snapshot
Video Captioning With Attention-Based LSTM and Semantic Consistency
inferredcites →https://doi.org/10.1109/tmm.2018.2888822openalex-snapshot
High-Quality Image Captioning With Fine-Grained and Semantic-Guided Visual Attention
inferredcites →https://doi.org/10.1109/tnnls.2018.2851077openalex-snapshot
From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning
inferredcites →https://doi.org/10.1109/tpami.2016.2587640openalex-snapshot
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge
inferredcites →https://doi.org/10.1109/tpami.2016.2598339openalex-snapshot
Deep Visual-Semantic Alignments for Generating Image Descriptions
inferredcites →https://doi.org/10.1109/tpami.2016.2599174openalex-snapshot
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
inferredcites →https://doi.org/10.1109/tpami.2016.2642953openalex-snapshot
Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts
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/tpami.2019.2894139openalex-snapshot
Hierarchical LSTMs with Adaptive Attention for Visual Captioning
inferredcites →https://doi.org/10.1145/3226037openalex-snapshot
Image Captioning with Affective Guiding and Selective Attention
inferredcites →https://doi.org/10.1145/3271485openalex-snapshot
Image Captioning via Semantic Guidance Attention and Consensus Selection Strategy
inferredcites →https://doi.org/10.1145/3284556openalex-snapshot
Extending Battery System Operation via Adaptive Reconfiguration
inferredcites →https://doi.org/10.1145/3292058openalex-snapshot
Image Captioning With Visual-Semantic Double Attention
inferredcites →https://doi.org/10.1145/3295748openalex-snapshot
A Comprehensive Survey of Deep Learning for Image Captioning
inferredcites →https://doi.org/10.18653/v1/2021.conll-1openalex-snapshot
Proceedings of the 25th Conference on Computational Natural Language Learning
inferredcites →https://doi.org/10.3115/v1/p15-2017openalex-snapshot
Language Models for Image Captioning: The Quirks and What Works
inferredcites →https://doi.org/10.48550/arxiv.1406.6247openalex-snapshot
Recurrent Models of Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1412.8419openalex-snapshot
Simple Image Description Generator via a Linear Phrase-Based Approach
inferredcites →https://doi.org/10.48550/arxiv.1506.06272openalex-snapshot
Aligning where to see and what to tell: image caption with region-based attention and scene factorization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00530-023-01249-wopenalex-snapshot
GVA: guided visual attention approach for automatic image caption generation
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.109033openalex-snapshot
Multilevel-based algorithm for hyperspectral image interpretation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119773openalex-snapshot
Evolution of visual data captioning Methods, Datasets, and evaluation Metrics: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123136openalex-snapshot
CrePoster: Leveraging multi-level features for cultural relic poster generation via attention-based framework
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101811openalex-snapshot
Feature fusion via multi-target learning for ancient artwork captioning
inferred← citeshttps://doi.org/10.1016/j.jfranklin.2025.107598openalex-snapshot
Multi-level semantic-aware communication for multi-task image transmission
inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200231openalex-snapshot
Image interpretation and generation method integrating block sentinels and AAM in intelligent art design
inferred← citeshttps://doi.org/10.1049/ipr2.13287openalex-snapshot
A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems
inferred← citeshttps://doi.org/10.1109/access.2025.3596720openalex-snapshot
Multimodality-Based Situational Knowledge for Obstacle Detection and Alert Generation to Enhance the Navigation Assistive Systems
inferred← citeshttps://doi.org/10.1109/tmm.2025.3623528openalex-snapshot
CMANet: Context-Aware Mutual Attention Network for Referring Image Segmentation
inferred← citeshttps://doi.org/10.1145/3499027openalex-snapshot
Cross-modal Graph Matching Network for Image-text Retrieval
inferred← citeshttps://doi.org/10.1145/3588572openalex-snapshot
Semantic Enhanced Video Captioning with Multi-feature Fusion
inferred← citeshttps://doi.org/10.1145/3638558openalex-snapshot
Exploring Visual Relationships via Transformer-based Graphs for Enhanced Image Captioning
inferred← citeshttps://doi.org/10.1145/3648370openalex-snapshot
Region-Focused Network for Dense Captioning
inferred← citeshttps://doi.org/10.1145/3660346openalex-snapshot
Multi-Grained Representation Aggregating Transformer with Gating Cycle for Change Captioning
inferred← citeshttps://doi.org/10.1145/3674980openalex-snapshot
Auxiliary Feature Fusion and Noise Suppression for HOI Detection
inferred← citeshttps://doi.org/10.1145/3679203openalex-snapshot
Action-aware Linguistic Skeleton Optimization Network for Non-autoregressive Video Captioning
inferred← citeshttps://doi.org/10.1155/2023/9397325openalex-snapshot
Amharic Language Image Captions Generation Using Hybridized Attention-Based Deep Neural Networks
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2046359/v1openalex-snapshot
Developing a deep neural network-based encoder-decoder framework in automatic image captioning systems
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.