Results 81 to 90 of about 4,486 (211)

Recent progression of artificial intelligence driven no-reference video quality assessment techniques in multimedia services

Discover Computing
The importance of maintaining consistent visual quality has increased significantly due to the rapid advancement of video acquisition technologies, high-speed Internet connectivity, the widespread adoption of social media platforms, and the growing ...
Anish Kumar Vishwakarma, Rakesh Ranjan, Rahul Priyadarshi, D. Samuel Kollie   +3 more
doaj   +1 more source

Crayons × Code: Re‐Exploring Children's Drawings With Multimodal AI and Dynamic Ethics

Area, Volume 58, Issue 2, June 2026.
ABSTRACT Children's drawings are used to study their environmental perception, but AI‐powered analysis of these visual materials remains underexplored. This paper re‐explores the use of children's drawings as a tool for understanding their perceptions of the environment, leveraging multimodal AI for analysis.
Chen Qu
wiley   +1 more source

Collaborative Modality Fusion for Mitigating Language Bias in Visual Question Answering

Journal of Imaging
Language bias stands as a noteworthy concern in visual question answering (VQA), wherein models tend to rely on spurious correlations between questions and answers for prediction.
Qiwen Lu, Shengbo Chen, Xiaoke Zhu
doaj   +1 more source

Evaluation of the efficacy of plan adaptation in stereotactic body proton therapy for pancreatic cancer

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Purpose This study aimed to quantitatively evaluate the efficacy of plan adaptation in stereotactic body proton therapy (SBPT) for pancreatic cancer using daily CT‐based dose evaluation, investigate the appropriate adaptation frequency. Methods This retrospective planning study included 10 patients previously treated with X‐ray stereotactic ...
Yuto Matsuo, Yusuke Uchinami, Norio Katoh, Takayuki Hashimoto, Hidefumi Aoyama, Keiji Nakazato, Taeko Matsuura, Naoki Miyamoto, Seishin Takao   +8 more
wiley   +1 more source

Splattalk: 3D VQA with Gaussian Splatting

2025 IEEE/CVF International Conference on Computer Vision (ICCV)
Language-guided 3D scene understanding is important for advancing applications in robotics, AR/VR, and human-computer interaction, enabling models to comprehend and interact with 3D environments through natural language. While 2D vision-language models (VLMs) have achieved remarkable success in 2D VQA tasks, progress in the 3D domain has been ...
Anh Thai, Songyou Peng, Kyle Genova, Leonidas J. Guibas, Thomas A. Funkhouser   +4 more
openaire   +2 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering

Big Data Mining and Analytics
Previous works employ the Large Language Model (LLM) like GPT-3 for knowledge-based Visual Question Answering (VQA). We argue that the inferential capacity of LLM can be enhanced through knowledge injection. Although methods that utilize knowledge graphs
Zhongjian Hu, Peng Yang, Fengyuan Liu, Yuan Meng, Xingyu Liu   +4 more
doaj   +1 more source

Explainable Artificial Intelligence Through the Lens of Bibliometric Citation Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT This study provides a comprehensive bibliometric analysis of the development of Explainable Artificial Intelligence (XAI) research from 1993 to 2024. The objective is to explore key contributors, thematic trends, and the evolution of methodologies within the field.
Mariateresa Russo, Domenico Vistocco
wiley   +1 more source

Deep Exemplar Networks for VQA and VQG

CoRR, 2019
In this paper, we consider the problem of solving semantic tasks such as `Visual Question Answering' (VQA), where one aims to answers related to an image and `Visual Question Generation' (VQG), where one aims to generate a natural question pertaining to an image.
Badri N. Patro, Vinay P. Namboodiri
openaire   +3 more sources

A Self-supervised Strategy for the Robustness of VQA Models

, 2022
Part 6: Game Theory and EmotionInternational audienceIn visual question answering (VQA), most existing models suffer from language biases which make models not robust.
Jing, Chenchen, Wu, Yuwei, Su, Jingyu, Li, Chuanhao   +3 more
core   +1 more source