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The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/acp.3229openalex-snapshot
Reading Without Words: Eye Movements in the Comprehension of Comic Strips
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Visual Analysis of Cartoons: A View from the Far Side
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Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1007/s10032-015-0243-1openalex-snapshot
Knowledge-driven understanding of images in comic books
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Automatic comic page segmentation based on polygon detection
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Sketch-based manga retrieval using manga109 dataset
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Reading Text in the Wild with Convolutional Neural Networks
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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
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Plot Units and Narrative Summarization*
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-snapshot
Deep visual-semantic alignments for generating image descriptions
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Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/das.2012.66openalex-snapshot
Panel and Speech Balloon Extraction from Comic Books
inferredcites →https://doi.org/10.1109/iccv.2015.9openalex-snapshot
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images
inferredcites →https://doi.org/10.1109/icdar.2007.4376991openalex-snapshot
An Overview of the Tesseract OCR Engine
inferredcites →https://doi.org/10.1109/icdar.2013.232openalex-snapshot
eBDtheque: A Representative Database of Comics
inferredcites →https://doi.org/10.1109/icdar.2013.251openalex-snapshot
An Active Contour Model for Speech Balloon Detection in Comics
inferredcites →https://doi.org/10.1109/icip.2015.7351614openalex-snapshot
A layered method for determining manga text bubble reading order
inferredcites →https://doi.org/10.1109/tpami.2014.2366143openalex-snapshot
Adopting Abstract Images for Semantic Scene Understanding
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/wacv.2016.7477560openalex-snapshot
Naming TV characters by watching and analyzing dialogs
inferredcites →https://doi.org/10.1145/2614217.2614255openalex-snapshot
Interactive segmentation for manga
inferredcites →https://doi.org/10.1145/2647868.2654990openalex-snapshot
A Robust Panel Extraction Method for Manga
inferredcites →https://doi.org/10.1145/2733373.2807997openalex-snapshot
Challenge for Manga Processing
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1162/tacl_a_00177openalex-snapshot
Grounded Compositional Semantics for Finding and Describing Images with Sentences
inferredcites →https://doi.org/10.1177/107769905303000401openalex-snapshot
“Cloze Procedure”: A New Tool for Measuring Readability
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The limits of time and transitions: challenges to theories of sequential image comprehension
inferredcites →https://doi.org/10.18653/v1/d16-1091openalex-snapshot
Sort Story: Sorting Jumbled Images and Captions into Stories
inferredcites →https://doi.org/10.18653/v1/n16-1098openalex-snapshot
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
inferredcites →https://doi.org/10.18653/v1/n16-1180openalex-snapshot
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
inferredcites →https://doi.org/10.18653/v1/w16-0107openalex-snapshot
"A Distorted Skull Lies in the Bottom Center..." Identifying Paintings from Text Descriptions
inferredcites →https://doi.org/10.2307/1421499openalex-snapshot
Scripts, Plans, Goals, and Understanding: An Inquiry into Human Knowledge Structures
inferredcites →https://doi.org/10.2307/412850openalex-snapshot
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inferredcites →https://doi.org/10.3115/1690219.1690231openalex-snapshot
Unsupervised learning of narrative schemas and their participants
inferredcites →https://doi.org/10.3115/v1/p14-1035openalex-snapshot
A Bayesian Mixed Effects Model of Literary Character
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
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.1512.02167openalex-snapshot
Simple Baseline for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1603.01417openalex-snapshot
Dynamic Memory Networks for Visual and Textual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1606.00061openalex-snapshot
Hierarchical Question-Image Co-Attention for Visual Question Answering
inferredcites →https://doi.org/10.5244/c.20.92openalex-snapshot
Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video
inferredcites →https://doi.org/10.5244/c.28.38openalex-snapshot
The State of the Art: Object Retrieval in Paintings using Discriminative Regions
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets
inferredcites →https://doi.org/10.5244/c.29.65openalex-snapshot
Face Painting: querying art with photos
inferredcites →https://doi.org/10.7916/d8m90j1sopenalex-snapshot
Extracting Social Networks from Literary Fiction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ADVISE: Symbolism and External Knowledge for Decoding Advertisements
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C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis
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Automatic Reading Order Detection of Comic Panels
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Automatic Detection of Comic Characters: An Analysis of Model Robustness Across Domains
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KangaiSet: A Dataset for Visual Emotion Recognition on Manga
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ComiCap: A VLMs Pipeline for Dense Captioning of Comic Panels
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Towards automatic understanding of narrative audiovisual content
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