On the public citation graph
Image to Modern Chinese Poetry Creation via a Constrained Topic-aware Model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-89222-9_26openalex-snapshot
Hitch Haiku: An Interactive Supporting System for Composing Haiku Poem
inferredcites →https://doi.org/10.1007/978-3-642-04052-8_19openalex-snapshot
New Hitch Haiku: An Interactive Renku Poem Composition Supporting Tool Applied for Sightseeing Navigation System
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/10.1109/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.2016.503openalex-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.2017.108openalex-snapshot
StyleNet: Generating Attractive Visual Captions with Styles
inferredcites →https://doi.org/10.1109/cvpr.2017.131openalex-snapshot
Self-Critical Sequence Training for Image Captioning
inferredcites →https://doi.org/10.1109/icassp.1986.1169179openalex-snapshot
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/tmm.2015.2510329openalex-snapshot
Multi-Modal Event Topic Model for Social Event Analysis
inferredcites →https://doi.org/10.1109/tmm.2019.2912735openalex-snapshot
SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning
inferredcites →https://doi.org/10.1109/tmm.2019.2931815openalex-snapshot
Recall What You See Continually Using GridLSTM in Image Captioning
inferredcites →https://doi.org/10.1145/2964284.2964294openalex-snapshot
Multi-modal Multi-view Topic-opinion Mining for Social Event Analysis
inferredcites →https://doi.org/10.1145/3115432openalex-snapshot
Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning
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/10.1145/3292058openalex-snapshot
Image Captioning With Visual-Semantic Double Attention
inferredcites →https://doi.org/10.18653/v1/n16-1014openalex-snapshot
A Diversity-Promoting Objective Function for Neural Conversation Models
inferredcites →https://doi.org/10.18653/v1/p17-1016openalex-snapshot
Automatically Generating Rhythmic Verse with Neural Networks
inferredcites →https://doi.org/10.18653/v1/p17-1125openalex-snapshot
Flexible and Creative Chinese Poetry Generation Using Neural Memory
inferredcites →https://doi.org/10.3115/1119355openalex-snapshot
Proceedings of the 2003 conference on Empirical methods in natural language processing -
inferredcites →https://doi.org/10.3115/v1/d14-1074openalex-snapshot
Chinese Poetry Generation with Recurrent Neural Networks
inferredcites →https://doi.org/10.5555/2566972.2566993openalex-snapshot
Framing image description as a ranking task
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s12559-026-10556-zopenalex-snapshot
VTPPG: End-to-end Video-Transformed Persona Poem Generation
inferred← citeshttps://doi.org/10.1007/s12650-021-00780-0openalex-snapshot
iPoet: interactive painting poetry creation with visual multimodal analysis
inferred← citeshttps://doi.org/10.1007/s44163-025-00563-8openalex-snapshot
The application of artificial intelligence in comic creation: taking the exaggeration method of face images as an example
inferred← citeshttps://doi.org/10.1016/j.cag.2023.07.029openalex-snapshot
Poetry4painting: Diversified poetry generation for large-size ancient paintings based on data augmentation
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.04.024openalex-snapshot
Generating diverse chinese poetry from images via unsupervised method
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.05.016openalex-snapshot
Generate classical Chinese poems with theme-style from images
inferred← citeshttps://doi.org/10.1049/cit2.12089openalex-snapshot
Images2Poem in different contexts with Dual‐CharRNN
inferred← citeshttps://doi.org/10.1080/10447318.2025.2518333openalex-snapshot
Integrating Generative Artificial Intelligence and Human Design: The Impact of Automation Level on Human Creative Experience and Efficiency
inferred← citeshttps://doi.org/10.1177/14727978241313258openalex-snapshot
Human resources big data management platform for listed companies through cloud computing technology
inferred← citeshttps://doi.org/10.1590/0101-3173.2024.v47.n2.e0240058openalex-snapshot
Literature in the new era: a study of Glück’s poetic quality and its affinity with the characteristics of Chinese culture
inferred← citeshttps://doi.org/10.3390/electronics11081275openalex-snapshot
AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry Retrieval
inferred← citeshttps://doi.org/10.3390/info16090726openalex-snapshot
Image Captioning Using Topic Faster R-CNN-LSTM Networks
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