Results 41 to 50 of about 61,033 (257)

Advances in deep concealed scene understanding

open access: yesVisual Intelligence, 2023
AbstractConcealed scene understanding (CSU) is a hot computer vision topic aiming to perceive objects exhibiting camouflage. The current boom in terms of techniques and applications warrants an up-to-date survey. This can help researchers better understand the global CSU field, including both current achievements and remaining challenges.
Deng-Ping Fan   +5 more
openaire   +2 more sources

Active Vision for Scene Understanding

open access: yes, 2021
Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view ...
openaire   +5 more sources

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

SUM: Sequential scene understanding and manipulation [PDF]

open access: yes2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
In order to perform autonomous sequential manipulation tasks, perception in cluttered scenes remains a critical challenge for robots. In this paper, we propose a probabilistic approach for robust sequential scene estimation and manipulation - Sequential Scene Understanding and Manipulation(SUM).
Zhiqiang Sui   +3 more
openaire   +2 more sources

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

Overall Understanding of Indoor Scenes by Fusing Multiframe Local RGB-D Data Based on Conditional Random Fields

open access: yesIEEE Access, 2020
Indoor mobile robots normally cannot capture the whole information of a scene by a single frame of perceptive data due to the limited sensor scope. The category of the current scene may be misjudged by robotics due to incomplete scene information, which ...
Haotian Chen   +5 more
doaj   +1 more source

A Hierarchical Feature Extraction Network for Fast Scene Segmentation

open access: yesSensors, 2021
Semantic segmentation is one of the most active research topics in computer vision with the goal to assign dense semantic labels for all pixels in a given image.
Liu Miao, Yi Zhang
doaj   +1 more source

Spatially Adaptive Column Fixed-Pattern Noise Correction in Infrared Imaging System Using 1D Horizontal Differential Statistics

open access: yesIEEE Photonics Journal, 2017
In this paper we present a novel non-uniformity correction (NUC) method to remove column fixed-pattern noise (FPN), which is introduced by non-uniformity of on-chip column-parallel readout circuit in uncooled infrared focal plane array. We first define a
Yanpeng Cao   +4 more
doaj   +1 more source

Tencent AVS: A Holistic Ads Video Dataset for Multi-Modal Scene Segmentation

open access: yesIEEE Access, 2022
Temporal video segmentation and classification have been advanced greatly by public benchmarks in recent years. However, such research still mainly focuses on human actions, failing to describe videos in a holistic view.
Jie Jiang   +5 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy