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Where to Look: Focus Regions for Visual Question Answering
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_35openalex-snapshot
Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot
Edge Boxes: Locating Object Proposals from Edges
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/cvpr.2015.7298754openalex-snapshot
From captions to visual concepts and back
inferredcites →https://doi.org/10.1109/cvpr.2015.7298856openalex-snapshot
Mind's eye: A recurrent visual representation for image caption generation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298878openalex-snapshot
Long-term recurrent convolutional networks for visual recognition and description
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-snapshot
Deep visual-semantic alignments for generating image descriptions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot
Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/iccv.2015.483openalex-snapshot
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions
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/10.21236/ada623249openalex-snapshot
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1410.1090openalex-snapshot
Explain Images with Multimodal Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1411.4555openalex-snapshot
Show and Tell: A Neural Image Caption Generator
inferredcites →https://doi.org/10.48550/arxiv.1412.4564openalex-snapshot
MatConvNet - Convolutional Neural Networks for MATLAB
inferredcites →https://doi.org/10.48550/arxiv.1412.6632openalex-snapshot
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
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.1505.00468openalex-snapshot
VQA: Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1506.00278openalex-snapshot
Visual Madlibs: Fill in the blank Image Generation and Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1506.00511openalex-snapshot
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
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/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.63317/3wtkaidk6ea8openalex-snapshot
Generating Typed Dependency Parses from Phrase Structure Parses
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Superpixel Semantics Representation and Pre-Training for Visionlanguage Tasks
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Image Tagging with Deep Learning: Fine‐Grained Visual Analysis
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Text-Guided Dual-Branch Attention Network for Visual Question Answering
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Diverse and Coherent Paragraph Generation from Images
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Learning Visual Question Answering by Bootstrapping Hard Attention
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Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
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VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
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Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
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Pairwise Body-Part Attention for Recognizing Human-Object Interactions
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Deep Attention Neural Tensor Network for Visual Question Answering
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ADVISE: Symbolism and External Knowledge for Decoding Advertisements
inferred← citeshttps://doi.org/10.1007/978-3-030-11018-5_34openalex-snapshot
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
inferred← citeshttps://doi.org/10.1007/978-3-030-22871-2_33openalex-snapshot
Revisiting Skip-Gram Negative Sampling Model with Rectification
inferred← citeshttps://doi.org/10.1007/978-3-030-31654-9_40openalex-snapshot
Semantic Reanalysis of Scene Words in Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-58592-1_10openalex-snapshot
Describing Unseen Videos via Multi-modal Cooperative Dialog Agents
inferred← citeshttps://doi.org/10.1007/978-3-030-69538-5_6openalex-snapshot
Second Order Enhanced Multi-glimpse Attention in Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-71187-0_14openalex-snapshot
ImageFuse: A Multi-view Image Featurization Framework for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-82469-3_29openalex-snapshot
A Survey on Representation Learning in Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-82681-9_1openalex-snapshot
Human Performance Modeling with Deep Learning
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Object Localization with Attribute Preference Based on Top-Down Attention
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CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
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Learning Disentanglement with Decoupled Labels for Vision-Language Navigation
inferred← citeshttps://doi.org/10.1007/978-3-031-20309-1_33openalex-snapshot
Dynamic Alternative Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-031-24340-0_42openalex-snapshot
EAGLE: An Enhanced Attention-Based Strategy by Generating Answers from Learning Questions to a Remote Sensing Image
inferred← citeshttps://doi.org/10.1007/978-3-031-25056-9_18openalex-snapshot
Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage?
inferred← citeshttps://doi.org/10.1007/978-3-031-31435-3_28openalex-snapshot
Cleaner Categories Improve Object Detection and Visual-Textual Grounding
inferred← citeshttps://doi.org/10.1007/978-3-031-50755-7_32openalex-snapshot
Visual Question Answering – VizWiz Challenge
inferred← citeshttps://doi.org/10.1007/978-3-031-73668-1_10openalex-snapshot
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model
inferred← citeshttps://doi.org/10.1007/978-3-031-78495-8_2openalex-snapshot
Visual Question Answering with Cascade of Self- and Co-Attention Blocks
inferred← citeshttps://doi.org/10.1007/978-3-031-88992-9_27openalex-snapshot
SOVQA: Semantics Oriented Framework for Visual Question Answering Aggregating Regulated Knowledge and Partial Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-46448-0_25openalex-snapshot
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-319-46478-7_28openalex-snapshot
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-319-46484-8_44openalex-snapshot
Revisiting Visual Question Answering Baselines
inferred← citeshttps://doi.org/10.1007/978-3-319-46493-0_15openalex-snapshot
A Diagram is Worth a Dozen Images
inferred← citeshttps://doi.org/10.1007/978-3-319-77383-4_11openalex-snapshot
Spatio-Temporal Context Networks for Video Question Answering
inferred← citeshttps://doi.org/10.1007/978-981-10-8530-7_34openalex-snapshot
Initialized Frame Attention Networks for Video Question Answering
inferred← citeshttps://doi.org/10.1007/978-981-15-5573-2openalex-snapshot
Representation Learning for Natural Language Processing
inferred← citeshttps://doi.org/10.1007/978-981-15-5573-2_9openalex-snapshot
Cross-Modal Representation
inferred← citeshttps://doi.org/10.1007/978-981-15-9774-9_69openalex-snapshot
Towards Open Ended and Free Form Visual Question Answering: Modeling VQA as a Factoid Question Answering Problem
inferred← citeshttps://doi.org/10.1007/978-981-16-8248-3_26openalex-snapshot
Feature Extraction from Radiology Images for Visual Question Answering System Using CNN and BiLSTM Model
inferred← citeshttps://doi.org/10.1007/978-981-16-9247-5_23openalex-snapshot
Scene Graph Prediction with Concept Knowledge Base
inferred← citeshttps://doi.org/10.1007/978-981-19-2177-3_36openalex-snapshot
Visual Question Answering System Using Co-attention Model
inferred← citeshttps://doi.org/10.1007/978-981-95-7130-7_5openalex-snapshot
Activity Modeling and Recognition
inferred← citeshttps://doi.org/10.1007/978-981-96-5265-5_10openalex-snapshot
A Comparison of YOLO V8 and R-CNN Algorithm—A VQA Object Detection Method Survey
inferred← citeshttps://doi.org/10.1007/978-981-97-5588-2_9openalex-snapshot
Dual-Branch Collaborative Learning for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-981-97-6995-7_39openalex-snapshot
Knowledge Incorporated Image Question Answering Using Wikidata Repository
inferred← citeshttps://doi.org/10.1007/978-981-99-1373-2_30openalex-snapshot
Image Captioning on Apparel Using Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-99-1600-9_7openalex-snapshot
Cross-Modal Representation Learning
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Early Gastric Cancer Screening Framework Based on Multimodal Fusion
inferred← citeshttps://doi.org/10.1007/978-981-99-8537-1_39openalex-snapshot
EKGRL: Entity-Based Knowledge Graph Representation Learning for Fact-Based Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s00236-021-00400-2openalex-snapshot
Natural language guided object retrieval in images
inferred← citeshttps://doi.org/10.1007/s00371-019-01786-4openalex-snapshot
Multiple answers to a question: a new approach for visual question answering
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An improved landmark-driven and spatial–channel attentive convolutional neural network for fashion clothes classification
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Multi-modal co-attention relation networks for visual question answering
inferred← citeshttps://doi.org/10.1007/s00371-022-02751-4openalex-snapshot
A single-stage fashion clothing detection using multilevel visual attention
inferred← citeshttps://doi.org/10.1007/s00371-024-03346-xopenalex-snapshot
Modular dual-stream visual fusion network for visual question answering
inferred← citeshttps://doi.org/10.1007/s00371-025-03812-0openalex-snapshot
Adaptive sparse triple convolutional attention for enhanced visual question answering
inferred← citeshttps://doi.org/10.1007/s00521-024-09914-5openalex-snapshot
Object search by a concept-conditioned object detector
inferred← citeshttps://doi.org/10.1007/s00521-025-11261-yopenalex-snapshot
Cross-modal heterogeneous graph reasoning network for visual question answering
inferred← citeshttps://doi.org/10.1007/s00530-020-00745-7openalex-snapshot
Question-relationship guided graph attention network for visual question answer
inferred← citeshttps://doi.org/10.1007/s00530-024-01568-6openalex-snapshot
KTMN: Knowledge-driven Two-stage Modulation Network for visual question answering
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ViOCRVQA: novel benchmark dataset and VisionReader for visual question answering by understanding Vietnamese text in images
inferred← citeshttps://doi.org/10.1007/s10032-021-00383-3openalex-snapshot
Asking questions on handwritten document collections
inferred← citeshttps://doi.org/10.1007/s10462-020-09832-7openalex-snapshot
Visual question answering: a state-of-the-art review
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Attention, please! A survey of neural attention models in deep learning
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An analysis of graph convolutional networks and recent datasets for visual question answering
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IMCN: Improved modular co-attention networks for visual question answering
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Word embeddings for retrieving tabular data from research publications
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Weakly supervised detection with decoupled attention-based deep representation
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Question action relevance and editing for visual question answering
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Word-to-region attention network for visual question answering
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Object-difference drived graph convolutional networks for visual question answering
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Image captioning improved visual question answering
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Graph neural networks for visual question answering: a systematic review
inferred← citeshttps://doi.org/10.1007/s11042-024-18871-zopenalex-snapshot
Advanced Visual and Textual Co-context Aware Attention Network with Dependent Multimodal Fusion Block for Visual Question Answering
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Multi-modality guided cross-attention for visual question answering
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An Improved Attention and Hybrid Optimization Technique for Visual Question Answering
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Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-018-1096-0openalex-snapshot
Combining Multiple Cues for Visual Madlibs Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-018-1116-0openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-019-01157-5openalex-snapshot
Hierarchical Attention for Part-Aware Face Detection
inferred← citeshttps://doi.org/10.1007/s11263-019-01205-0openalex-snapshot
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
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Diagnosing Human-Object Interaction Detectors
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Vision Generalist Model: A Survey
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Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering
inferred← citeshttps://doi.org/10.1007/s11771-021-4641-xopenalex-snapshot
A survey of deep learning-based visual question answering
inferred← citeshttps://doi.org/10.1007/s13369-023-07687-yopenalex-snapshot
VAQA: Visual Arabic Question Answering
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Few-shot and meta-learning methods for image understanding: a survey
inferred← citeshttps://doi.org/10.1007/s41019-022-00200-9openalex-snapshot
A Multi-level Mesh Mutual Attention Model for Visual Question Answering
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105584openalex-snapshot
Visual question answering via Attention-based syntactic structure tree-LSTM
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2022.107988openalex-snapshot
A Feature Sparse Co-Attention Network for Visual internet of things (VIoT) sensing
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.05.001openalex-snapshot
Visual question answering: A survey of methods and datasets
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.06.005openalex-snapshot
Visual question answering: Datasets, algorithms, and future challenges
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.102829openalex-snapshot
Triple attention network for sentimental visual question answering
inferred← citeshttps://doi.org/10.1016/j.dss.2019.113234openalex-snapshot
Exploring the role of deep neural networks for post-disaster decision support
inferred← citeshttps://doi.org/10.1016/j.elerap.2020.101019openalex-snapshot
Neural text similarity of user reviews for improving collaborative filtering recommender systems
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109948openalex-snapshot
ENVQA: Improving Visual Question Answering model by enriching the visual feature
inferred← citeshttps://doi.org/10.1016/j.hcc.2023.100184openalex-snapshot
Coreference resolution helps visual dialogs to focus
inferred← citeshttps://doi.org/10.1016/j.image.2021.116319openalex-snapshot
Multi-scale relation reasoning for multi-modal Visual Question Answering
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104165openalex-snapshot
Visual question answering model based on graph neural network and contextual attention
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104281openalex-snapshot
Multi-type decision fusion network for visual Q&A
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104291openalex-snapshot
Multi-Tier Attention Network using Term-weighted Question Features for Visual Question Answering
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104327openalex-snapshot
A survey of methods, datasets and evaluation metrics for visual question answering
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104328openalex-snapshot
VQA as a factoid question answering problem: A novel approach for knowledge-aware and explainable visual question answering
inferred← citeshttps://doi.org/10.1016/j.inffus.2019.03.005openalex-snapshot
Information fusion in visual question answering: A Survey
inferred← citeshttps://doi.org/10.1016/j.inffus.2019.08.009openalex-snapshot
Multimodal feature fusion by relational reasoning and attention for visual question answering
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.02.022openalex-snapshot
Multimodal feature-wise co-attention method for visual question answering
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102270openalex-snapshot
From image to language: A critical analysis of Visual Question Answering (VQA) approaches, challenges, and opportunities
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102265openalex-snapshot
Video question answering via grounded cross-attention network learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103008openalex-snapshot
HVLM: Exploring Human-Like Visual Cognition and Language-Memory Network for Visual Dialog
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.06.002openalex-snapshot
HRVQA: A Visual Question Answering benchmark for high-resolution aerial images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.08.029openalex-snapshot
Text-Guided Coarse-to-Fine Fusion Network for robust remote sensing visual question answering
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.102762openalex-snapshot
Local relation network with multilevel attention for visual question answering
inferred← citeshttps://doi.org/10.1016/j.media.2024.103279openalex-snapshot
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.11.049openalex-snapshot
Mood-aware visual question answering
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128895openalex-snapshot
Superpixel semantics representation and pre-training for vision–language tasks
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.02.001openalex-snapshot
Visual question answering based on local-scene-aware referring expression generation
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107586openalex-snapshot
Probabilistic framework for solving visual dialog
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.06.030openalex-snapshot
Movie fill in the blank by joint learning from video and text with adaptive temporal attention
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.01.024openalex-snapshot
Scene-Graph-Guided message passing network for dense captioning
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.07.002openalex-snapshot
Visual question answering in the medical domain based on deep learning approaches: A comprehensive study
inferred← citeshttps://doi.org/10.1017/s1351324918000086openalex-snapshot
From image to language and back again
inferred← citeshttps://doi.org/10.1038/s42256-020-0152-yopenalex-snapshot
Predicting drug–protein interaction using quasi-visual question answering system
inferred← citeshttps://doi.org/10.1049/el.2017.1881openalex-snapshot
Question‐aware prediction with candidate answer recommendation for visual question answering
inferred← citeshttps://doi.org/10.1080/01969722.2021.2018543openalex-snapshot
Optimal Deep Neural Network-Based Model for Answering Visual Medical Question
inferred← citeshttps://doi.org/10.1080/15732479.2024.2355929openalex-snapshot
Deep learning-based bridge damage cause estimation from multiple images using visual question answering
inferred← citeshttps://doi.org/10.1088/1742-6596/1828/1/012145openalex-snapshot
Co-attention Spatial Reasoning for Visual Question Answering
inferred← citeshttps://doi.org/10.1088/1742-6596/2646/1/012031openalex-snapshot
Transformer-based visual question answering model comparison
inferred← citeshttps://doi.org/10.1088/1757-899x/949/1/012074openalex-snapshot
Visual Question Answering for Cultural Heritage
inferred← citeshttps://doi.org/10.1109/access.2018.2844789openalex-snapshot
Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2018.2873570openalex-snapshot
Multimodal Local Perception Bilinear Pooling for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2019.2908035openalex-snapshot
Co-Attention Network With Question Type for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2019.2958864openalex-snapshot
Dualattn-GAN: Text to Image Synthesis With Dual Attentional Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/access.2020.2975093openalex-snapshot
Multimodal Encoder-Decoder Attention Networks for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2021.3074937openalex-snapshot
Improving Visual Reasoning Through Semantic Representation
inferred← citeshttps://doi.org/10.1109/access.2021.3127324openalex-snapshot
Automatic Chinese Meme Generation Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2022.3158952openalex-snapshot
A Novel Attention-Based Multi-Modal Modeling Technique on Mixed Type Data for Improving TFT-LCD Repair Process
inferred← citeshttps://doi.org/10.1109/access.2023.3335216openalex-snapshot
A Critical Analysis of Benchmarks, Techniques, and Models in Medical Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2024.3521032openalex-snapshot
Designing and Evaluating a Dual-Stream Transformer-Based Architecture for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2025.3540388openalex-snapshot
BVQA: Connecting Language and Vision Through Multimodal Attention for Open-Ended Question Answering
inferred← citeshttps://doi.org/10.1109/access.2025.3609656openalex-snapshot
(GRAVITY) Graph-Based Reasoning With Attention and Visual Information Using Transformers for Yielding Answers
inferred← citeshttps://doi.org/10.1109/aipr57179.2022.10092229openalex-snapshot
Post-Disaster Damage Detection using Aerial Footage: Visual Question Answering (VQA) Case Study
inferred← citeshttps://doi.org/10.1109/ase.2019.00012openalex-snapshot
Multi-modal Attention Network Learning for Semantic Source Code Retrieval
inferred← citeshttps://doi.org/10.1109/avss.2019.8909869openalex-snapshot
Video-Based Person Re-Identification using Refined Attention Networks
inferred← citeshttps://doi.org/10.1109/bigcom.2017.17openalex-snapshot
Two-Step Joint Attention Network for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622513openalex-snapshot
You Type a Few Words and We Do the Rest: Image Recommendation for Social Multimedia Posts
inferred← citeshttps://doi.org/10.1109/ccis.2018.8691361openalex-snapshot
Sequential Visual Reasoning for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/crv55824.2022.00038openalex-snapshot
3DVQA: Visual Question Answering for 3D Environments
inferred← citeshttps://doi.org/10.1109/csci54926.2021.00314openalex-snapshot
Determining Performance of Computer Vision Models using Generalizability, Robustness & Elasticity Score
inferred← citeshttps://doi.org/10.1109/cvpr.2017.123openalex-snapshot
Automatic Understanding of Image and Video Advertisements
inferred← citeshttps://doi.org/10.1109/cvpr.2017.215openalex-snapshot
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferred← citeshttps://doi.org/10.1109/cvpr.2017.232openalex-snapshot
Dual Attention Networks for Multimodal Reasoning and Matching
inferred← citeshttps://doi.org/10.1109/cvpr.2017.344openalex-snapshot
Graph-Structured Representations for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2017.416openalex-snapshot
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions
inferred← citeshttps://doi.org/10.1109/cvpr.2017.446openalex-snapshot
Multi-level Attention Networks for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2017.475openalex-snapshot
GuessWhat?! Visual Object Discovery through Multi-modal Dialogue
inferred← citeshttps://doi.org/10.1109/cvpr.2017.575openalex-snapshot
Creativity: Generating Diverse Questions Using Variational Autoencoders
inferred← citeshttps://doi.org/10.1109/cvpr.2017.670openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2017.680openalex-snapshot
What's in a Question: Using Visual Questions as a Form of Supervision
inferred← citeshttps://doi.org/10.1109/cvpr.2017.773openalex-snapshot
An Empirical Evaluation of Visual Question Answering for Novel Objects
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00449openalex-snapshot
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00519openalex-snapshot
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00520openalex-snapshot
Fooling Vision and Language Models Despite Localization and Attention Mechanism
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00522openalex-snapshot
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00569openalex-snapshot
Learning Answer Embeddings for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00583openalex-snapshot
Convolutional Image Captioning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00599openalex-snapshot
Cross-Dataset Adaptation for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00603openalex-snapshot
Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00637openalex-snapshot
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00640openalex-snapshot
Visual Question Generation as Dual Task of Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00641openalex-snapshot
Unsupervised Textual Grounding: Linking Words to Image Concepts
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00642openalex-snapshot
Focal Visual-Text Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00688openalex-snapshot
Motion-Appearance Co-memory Networks for Video Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00729openalex-snapshot
Visual Question Answering with Memory-Augmented Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00757openalex-snapshot
Visual Question Reasoning on General Dependency Tree
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00801openalex-snapshot
Differential Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00807openalex-snapshot
Learning Visual Knowledge Memory Networks for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00915openalex-snapshot
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00930openalex-snapshot
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00203openalex-snapshot
It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00644openalex-snapshot
Deep Modular Co-Attention Networks for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00648openalex-snapshot
Visual Question Answering as Reading Comprehension
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00683openalex-snapshot
Reasoning Visual Dialogs With Structural and Partial Observations
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01078openalex-snapshot
Complete the Look: Scene-Based Complementary Product Recommendation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01283openalex-snapshot
A Simple Baseline for Audio-Visual Scene-Aware Dialog
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00359openalex-snapshot
Context-Aware Attention Network for Image-Text Retrieval
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01008openalex-snapshot
TA-Student VQA: Multi-Agents Training by Self-Questioning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01396openalex-snapshot
TESA: Tensor Element Self-Attention via Matricization
inferred← citeshttps://doi.org/10.1109/cvprw53098.2021.00181openalex-snapshot
An Improved Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00265openalex-snapshot
Multimodal Integration of Human-Like Attention in Visual Question Answering
inferred← citeshttps://doi.org/10.1109/dsc50466.2020.00040openalex-snapshot
Graph Convolutional Network for Visual Question Answering Based on Fine-grained Question Representation
inferred← citeshttps://doi.org/10.1109/ecmr.2019.8870919openalex-snapshot
Query Generation for Resolving Ambiguity in User's Command for a Mobile Service Robot
inferred← citeshttps://doi.org/10.1109/eit53891.2022.9813988openalex-snapshot
Recent, Rapid Advancement in Visual Question Answering: a Review
inferred← citeshttps://doi.org/10.1109/fccm53951.2022.9786159openalex-snapshot
A Dual-Mode Similarity Search Accelerator based on Embedding Compression for Online Cross-Modal Image-Text Retrieval
inferred← citeshttps://doi.org/10.1109/icais56108.2023.10073911openalex-snapshot
Knowledge Blended Open Domain Visual Question Answering using Transformer
inferred← citeshttps://doi.org/10.1109/iccrtee68719.2026.11566398openalex-snapshot
An Interactive Audio-Driven Framework for Semantic Image Captioning, Question Generation, and Visual Question Answering for the Visually Impaired
inferred← citeshttps://doi.org/10.1109/iccss58421.2023.10270653openalex-snapshot
Distance Metric Learning-optimized Attention Mechanism for Visual Question Answering
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