Results 51 to 60 of about 1,194,643 (283)

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

A Transformer‐Based Network for Full Object Pose Estimation with Depth Refinement

Advanced Intelligent Systems
In response to increasing demand for robotics manipulation, accurate vision‐based full pose estimation is essential. While convolutional neural networks‐based approaches have been introduced, the quest for higher performance continues, especially for ...
Mahmoud Abdulsalam, Kenan Ahiska, Nabil Aouf   +2 more
doaj   +1 more source

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

, 2018
Depth estimation from a single image is a fundamental problem in computer vision. In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN) to learn the affinity matrix for depth prediction.
C Dong, FR Kschischang, G Riegler, J Yang, N Silberman, Olaf Ronneberger, R Liu, T Igarashi, T-W Hui, X Song   +9 more
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Towards depth foundation models: Recent trends in vision-based depth estimation

Computational Visual Media
Depth estimation is a fundamental task in 3D computer vision, crucial for applications such as 3D reconstruction, free-viewpoint rendering, robotics, autonomous driving, and AR/VR technologies.
Zhen Xu, Hongyu Zhou, Sida Peng, Haotong Lin, Haoyu Guo, Jiahao Shao, Peishan Yang, Qinglin Yang, Sheng Miao, Xingyi He, Yifan Wang, Yue Wang, Ruizhen Hu, Yiyi Liao, Xiaowei Zhou, Hujun Bao   +15 more
doaj   +1 more source

Depth Prompting for Sensor-Agnostic Depth Estimation

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Accepted at CVPR ...
Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon   +3 more
openaire   +2 more sources

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking

Remote Sensing
Self-supervised monocular depth estimation methods have become the focus of research since ground truth data are not required. Current single-image-based works only leverage appearance-based features, thus achieving a limited performance.
Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang, Na Li   +5 more
doaj   +1 more source

Pix2Pix-Based Monocular Depth Estimation for Drones with Optical Flow on AirSim

Sensors, 2022
In this work, we propose a method for estimating depth for an image of a monocular camera in order to avoid a collision for the autonomous flight of a drone.
Tomoyasu Shimada, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama   +3 more
doaj   +1 more source

Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions

, 2017
Depth estimation is a fundamental problem for light field photography applications. Numerous methods have been proposed in recent years, which either focus on crafting cost terms for more robust matching, or on analyzing the geometry of scene structures ...
Chau, Lap-Pui, Chen, Jie, Hou, Junhui, Ni, Yun   +3 more
core   +1 more source