Results 61 to 70 of about 400 (142)

Multifaceted Suppression of Staphylococcal Virulence Phenotypes: In Vitro Study of a Cellular Status With Reduced Agr Activity and Impaired Biofilm

MicrobiologyOpen, Volume 15, Issue 5, October 2026.
Finding of in vitro S. aureus status with reduced Agr activity and impaired biofilm. ABSTRACT Anti‐quorum sensing (QS) therapy has been focused on to reduce the virulence of pathogenic bacteria. However, there is a risk that suppression of the staphylococcal QS Agr system might promote biofilm formation.
Nghi Bao Nguyen, Yuri Ushijima, Raiku Sekiya, Kazuya Morikawa, Le Thuy Thi Nguyen   +4 more
wiley   +1 more source

Excessive Convective Precipitation Formation Caused by Warm‐Phase Bulk Microphysical Scheme Biases: A Multi‐Platform Observational Diagnosis

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 18, 28 September 2026.
Abstract Recent work has demonstrated that convection‐permitting models often produce a greater number of precipitating convective cells compared to radar observations. Congestus‐depth cells contribute most to the bias, which are colloquially termed “popcorn convection.” This study explores warm‐phase microphysical contributions to the bias using ...
McKenna W. Stanford, Adam C. Varble, Zhe Feng, Jerome Fast, William I. Gustafson Jr., Susanne Glienke, Joseph C. Hardin, Zhixiao Zhang   +7 more
wiley   +1 more source

Approach of dense video captioning based on multimodal memory knowledge

Dianxin kexue
Dense video captioning aims to localize events in an untrimmed video and generate a corresponding captions for each meaningful event. Existing methods mainly utilize the source video input to generate captions, and these methods are unable to capture the
FANG Haojie, LI Yonggang, CAO Zongrui, YE Lihua   +3 more
doaj  

Technical Report for Soccernet 2023 -- Dense Video Captioning

CoRR
In the task of dense video captioning of Soccernet dataset, we propose to generate a video caption of each soccer action and locate the timestamp of the caption. Firstly, we apply Blip as our video caption framework to generate video captions. Then we locate the timestamp by using (1) multi-size sliding windows (2) temporal proposal generation and (3 ...
Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang, Wei Li 0012, Chen Chen 0114, Wei Shen   +7 more
openaire   +3 more sources

Wolf: Dense Video Captioning with a World Summarization Framework

Trans. Mach. Learn. Res.
We propose Wolf, a WOrLd summarization Framework for accurate video captioning. Wolf is an automated captioning framework that adopts a mixture-of-experts approach, leveraging complementary strengths of Vision Language Models (VLMs). By utilizing both image and video models, our framework captures different levels of information and summarizes them ...
Boyi Li 0001, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen 0008, Yao Lu 0006, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu 0001, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han 0003, Marco Pavone 0001   +22 more
openaire   +3 more sources

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning

CoRR
Generating automatic dense captions for videos that accurately describe their contents remains a challenging area of research. Most current models require processing the entire video at once. Instead, we propose an efficient, online approach which outputs frequent, detailed and temporally aligned captions, without access to future frames.
A. J. Piergiovanni, Dahun Kim, Michael S. Ryoo, Isaac Noble, Anelia Angelova   +4 more
openaire   +2 more sources

RefCap: image captioning with referent objects attributes. [PDF]

Sci Rep, 2023
Park S, Paik J.
europepmc   +1 more source

Dense captioning and multidimensional evaluations for indoor robotic scenes. [PDF]

Front Neurorobot, 2023
Wang H, Wang W, Li W, Liu H.
europepmc   +1 more source

Towards Fault-Aware Image Captioning: A Review on Integrating Facial Expression Recognition (FER) and Object Detection. [PDF]

Sensors (Basel)
Khan AS, Abbass MJ, Khan AH.
europepmc   +1 more source

Fusion of deep transfer learning models with Gannet optimisation algorithm for an advanced image captioning system for visual disabilities. [PDF]

Sci Rep
Alkhaldi TM, Asiri MM, Alzahrani F, Sharif MM.   +3 more
europepmc   +1 more source