Results 41 to 50 of about 1,186,680 (282)

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

open access: yesFEBS 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   +3 more
wiley   +1 more source

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

open access: yesAdvanced 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   +2 more
doaj   +1 more source

Depth Map Estimation for Free-Viewpoint Television and Virtual Navigation

open access: yesIEEE Access, 2020
The paper presents a new method of depth estimation, dedicated for free-viewpoint television (FTV) and virtual navigation (VN). In this method, multiple arbitrarily positioned input views are simultaneously used to produce depth maps characterized by ...
Dawid Mieloch   +2 more
doaj   +1 more source

Optimal Configuration of Multi-Task Learning for Autonomous Driving

open access: yesSensors, 2023
For autonomous driving, it is imperative to perform various high-computation image recognition tasks with high accuracy, utilizing diverse sensors to perceive the surrounding environment.
Woomin Jun   +3 more
doaj   +1 more source

Semi-Supervised Adversarial Monocular Depth Estimation [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
In this paper, we address the problem of monocular depth estimation when only a limited number of training image-depth pairs are available. To achieve a high regression accuracy, the state-of-the-art estimation methods rely on CNNs trained with a large number of image-depth pairs, which are prohibitively costly or even infeasible to acquire.
Rongrong Ji   +8 more
openaire   +3 more sources

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

open access: yesFEBS 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   +11 more
wiley   +1 more source

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

open access: yesRemote 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   +5 more
doaj   +1 more source

J-MOD$^{2}$: Joint Monocular Obstacle Detection and Depth Estimation

open access: yes, 2017
In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications.
Ciarfuglia, Thomas A.   +3 more
core   +1 more source

Estimation of   Well Depth [PDF]

open access: yesProgress of Theoretical Physics, 1994
Usually Λ and Σ hypernuclear problems are discussed separately. However one should discuss these problems simultaneously with the same potential and with the same way of calculation because the transition ΛN ↔ ΣN plays an essential role to estimate the Λ and Σ well depths.
M. Kimura, E. Satoh
openaire   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

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