Results 71 to 80 of about 374,244 (266)

Multiscale and multidirection depth map super resolution with semantic inference

IET Image Processing, 2023
Depth map super resolution has been paid much attention in 3D applications due to the limitation of depth sensors. Few textures in objects with clear contours along them is the most important characteristic of depth map. An efficient image representation
Dan Xu, Xiaopeng Fan, Debin Zhao, Wen Gao   +3 more
doaj   +1 more source

Object-Level Semantic Map Construction for Dynamic Scenes

Applied Sciences, 2021
Visual simultaneous localization and mapping (SLAM) is challenging in dynamic environments as moving objects can impair camera pose tracking and mapping.
Xujie Kang, Jing Li, Xiangtao Fan, Hongdeng Jian, Chen Xu   +4 more
doaj   +1 more source

High‐Rate FA‐Based Co‐Evaporated Perovskites: Understanding Rate Limitations and Practical Considerations to Overcome Their Impact

Advanced Functional Materials, EarlyView.
Vacuum‐based deposition is promising for perovskite solar cells to be successfully commercialized. However, co‐evaporation, the most common vapor phase deposition technique, suffers from very low deposition rates. In this work, we reveal that high deposition rates can lead to carbon flakes depositing into the perovskite absorber layers due to material ...
Thomas Feeney, Aleksandra Miaskiewicz, Julian Petry, Felix Laufer, Roja Singh, Stefanie Severin, Viktor Škorjanc, Alexander Diercks, Suresh Maniyarasu, Lars Korte, Steve Albrecht, Ulrich W. Paetzold, Marcel Roß, Paul Fassl   +13 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Semantic Visual SLAM Algorithm Based on Improved DeepLabV3+ Model and LK Optical Flow

Applied Sciences
Aiming at the problem that dynamic targets in indoor environments lead to low accuracy and large errors in the localization and position estimation of visual SLAM systems and the inability to build maps containing semantic information, a semantic visual ...
Yiming Li, Yize Wang, Liuwei Lu, Yiran Guo, Qi An   +4 more
doaj   +1 more source

Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles

Advanced Functional Materials, EarlyView.
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati, Yoann Lalatonne, Cédric Chauvierre   +2 more
wiley   +1 more source

Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss

, 2016
Recent works on deep conditional random fields (CRF) have set new records on many vision tasks involving structured predictions. Here we propose a fully-connected deep continuous CRF model for both discrete and continuous labelling problems. We exemplify
Lin, Guosheng, Liu, Fayao, Shen, Chunhua
core   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

Advanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte   +6 more
wiley   +1 more source

Hierarchical path planning from speech instructions with spatial concept-based topometric semantic mapping

Frontiers in Robotics and AI
Assisting individuals in their daily activities through autonomous mobile robots is a significant concern, especially for users without specialized knowledge.
Akira Taniguchi, Shuya Ito, Tadahiro Taniguchi   +2 more
doaj   +1 more source