visual question answering

https://deepai.org/publication/active-learning-for-visual-question-answering-an-empirical-study Active Learning for Visual Question Answering: An Empirical Study | DeepAI Nov 6, 2017 - 11/06/17 - We present an empirical study of active learning for Visual Question Answering, where a deep VQA model selects informative questio... visual question answering active learning empirical study deepai https://deepai.org/publication/probabilistic-neural-symbolic-models-for-interpretable-visual-question-answering Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering | DeepAI Feb 21, 2019 - 02/21/19 - We propose a new class of probabilistic neural-symbolic models, that have symbolic functional programs as a latent, stochastic var... visual question answering probabilistic neural symbolic models https://aclanthology.org/2025.evalmg-1.7/ Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and... Neelabh Sinha, Vinija Jain, Aman Chadha. Proceedings of the First Workshop of Evaluation of Multi-Modal Generation. 2025. vision language model visual question answering https://openreview.net/forum?id=cp87LU7Msc3&referrer=%5Bthe%20profile%20of%20Ond%C5%99ej%20Bojar%5D(%2Fprofile%3Fid%3D~Ond%C5%99ej_Bojar1) HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language |... This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language. The dataset was created by manually... visual question answering https://deepai.org/publication/zero-shot-visual-question-answering-using-knowledge-graph Zero-shot Visual Question Answering using Knowledge Graph | DeepAI Jul 12, 2021 - 07/12/21 - Incorporating external knowledge to Visual Question Answering (VQA) has become a vital practical need. Existing methods mostly ado... visual question answering zero shot knowledge graph using deepai https://openreview.net/forum?id=X5OpWMcSzIH&referrer=%5Bthe%20profile%20of%20Wei%20Tao%5D(%2Fprofile%3Fid%3D~Wei_Tao4) Type-Aware Medical Visual Question Answering | OpenReview Medical Visual Question Answering (Med-VQA) helps answer medical questions raised by patients automatically so as to relieve the shortage of experienced... visual question answering type aware medical openreview https://www.stir.ac.uk/research/hub/publication/1966986 Article | NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent... visual question answering neuro symbolic https://openreview.net/forum?id=bW1uwPV3im LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering | OpenReview The capacity to reason logically is a hallmark of human cognition. Humans excel at integrating multimodal information for locigal reasoning, as exemplified by... visual question answering logical reasoning lora augmented https://aclanthology.org/2024.lrec-main.806/ Intrinsic Subgraph Generation for Interpretable Graph Based Visual Question Answering - ACL... Pascal Tilli, Ngoc Thang Vu. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation... visual question answering intrinsic subgraph generation https://aclanthology.org/2020.findings-emnlp.34/ Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation - ACL Anthology Yiming Xu, Lin Chen, Zhongwei Cheng, Lixin Duan, Jiebo Luo. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. visual question answering open ended https://openreview.net/forum?id=iTtiBwIMpI&referrer=%5Bthe%20profile%20of%20Qi%20Zhao%5D(%2Fprofile%3Fid%3D~Qi_Zhao1) Predicting human scanpaths in visual question answering | OpenReview Attention has been an important mechanism for both humans and computer vision systems. While state-of-the-art models to predict attention focus on estimating a... visual question answering predicting human openreview https://openreview.net/forum?id=jtnMIbJIso Variational Visual Question Answering for Uncertainty-Aware Selective Prediction | OpenReview Despite remarkable progress in recent years, Vision Language Models (VLMs) remain prone to overconfidence and hallucinations on tasks such as Visual Question... visual question answering variational uncertainty aware selective https://arxiv.org/abs/2205.12616 [2205.12616] Guiding Visual Question Answering with Attention Priors Abstract page for arXiv paper 2205.12616: Guiding Visual Question Answering with Attention Priors visual question answering 2205 12616 guiding attention https://arxiv.org/abs/2511.22154v2 [2511.22154v2] WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic... Abstract page for arXiv paper 2511.22154v2: WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios visual question answering https://slides.com/techedlaksh/visual-question-answering-vqa Visual Question Answering (VQA) A presentation created with Slides. visual question answering vqa https://cvqa-benchmark.org/ CVQA: A Culturally-diverse Multilingual Visual Question Answering Benchmark A Culturally-diverse Multilingual Visual Question Answering Benchmark visual question answering culturally diverse multilingual benchmark https://openreview.net/forum?id=yPZ7w29qSNK&referrer=%5Bthe%20profile%20of%20Zhihang%20Yu%5D(%2Fprofile%3Fid%3D~Zhihang_Yu1) Towards Video Text Visual Question Answering: Benchmark and Baseline | OpenReview A new dataset M4-ViteQA and a new method T5-ViteVQA for a new task video text visual question answering. visual question answering towards video text benchmark https://www.mdpi.com/1424-8220/22/6/2245 COIN: Counterfactual Image Generation for Visual Question Answering Interpretation Due to the significant advancement of Natural Language Processing and Computer Vision-based models, Visual Question Answering (VQA) systems are becoming more... visual question answering image generation coin counterfactual interpretation https://openreview.net/forum?id=_vpnJ0IJJI0 A Confidence-Based Interface for Neuro-Symbolic Visual Question Answering | OpenReview We present a neuro-symbolic visual question answering approach for the CLEVR dataset that is based on deep neural networks and answer-set programming. visual question answering neuro symbolic confidence based interface https://www.kaggle.com/datasets/bhavikardeshna/visual-question-answering-computer-vision-nlp Visual Question Answering- Computer Vision & NLP | Kaggle Exploring multimodal fusion-type transformer models for VQA visual question answering computer vision nlp kaggle https://wandb.ai/onlineinference/paper-reading/reports/Answer-Me-Multi-Task-Open-Vocabulary-Visual-Question-Answering-In-Layspeak---VmlldzoyMDg2NzY3 Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering (In Layspeak) Jun 1, 2022 - On May 2, 2022 Google Research submitted the Answer-Me paper to arXiv. Let's take a look at this new effort to advance multi-modal questions answering. visual question answering multi task open https://www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/mmc/research/research_projects/vqa/ Visual Question Answering visual question answering https://aclanthology.org/2023.findings-eacl.90/ Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution... Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh. Findings of the Association for... https://openreview.net/forum?id=51gbtl2VxL&referrer=%5Bthe%20profile%20of%20Tong%20Xiao%5D(%2Fprofile%3Fid%3D~Tong_Xiao4) Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering... This paper presents an in-depth study of multimodal machine translation (MMT), examining the prevailing understanding that MMT systems exhibit decreased... machine translation incorporating probing signals multimodal https://www.atlantis-press.com/proceedings/iciic-21/125960859 Deep Cross of Intra and Inter Modalities for Visual Question Answering | Atlantis Press Visual Question Answering (VQA) has recently attained interest in the deep learning community. The main challenge that exists in VQA is to understand the sense... https://www.mdpi.com/1424-8220/20/23/6758 Multi-Modal Explicit Sparse Attention Networks for Visual Question Answering Visual question answering (VQA) is a multi-modal task involving natural language processing (NLP) and computer vision (CV), which requires models to understand... multi modal sparse attention explicit networks visual https://aclanthology.org/2020.coling-main.278/ Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering - ACL... Wei Han, Hantao Huang, Tao Han. Proceedings of the 28th International Conference on Computational Linguistics. 2020. https://github.com/abhshkdz/neural-vqa-attention GitHub - abhshkdz/neural-vqa-attention: :question: Attention-based Visual Question Answering in... :question: Attention-based Visual Question Answering in Torch - abhshkdz/neural-vqa-attention github neural vqa attention question

Robuta