Results 51 to 60 of about 341,318 (278)

Combining Stereo Disparity and Optical Flow for Basic Scene Flow

open access: yes, 2018
Scene flow is a description of real world motion in 3D that contains more information than optical flow. Because of its complexity there exists no applicable variant for real-time scene flow estimation in an automotive or commercial vehicle context that ...
Bailer, Christian   +3 more
core   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids

open access: yes, 2016
We present a global optimization approach to optical flow estimation. The approach optimizes a classical optical flow objective over the full space of mappings between discrete grids. No descriptor matching is used.
Chen, Qifeng, Koltun, Vladlen
core   +2 more sources

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

open access: yesMolecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic   +5 more
wiley   +1 more source

A Hardware-Friendly Optical Flow-Based Time-to-Collision Estimation Algorithm

open access: yesSensors, 2019
This work proposes a hardware-friendly, dense optical flow-based Time-to-Collision (TTC) estimation algorithm intended to be deployed on smart video sensors for collision avoidance.
Cong Shi   +3 more
doaj   +1 more source

Deep Optical Flow Learning Networks Combined with Attention Mechanism

open access: yesJisuanji kexue yu tansuo, 2020
In order to improve the accuracy of deep learning optical flow estimation based on encoder-decoder U-Net, a modified supervised deep optical flow learning network combined with attention mechanism is proposed, which consists of a contracting part and an ...
ZHOU Haiyun, XIANG Xuezhi, ZHAI Mingliang, ZHANG Rongfang, WANG Shuai
doaj   +1 more source

Optical Flow in Mostly Rigid Scenes

open access: yes, 2017
The optical flow of natural scenes is a combination of the motion of the observer and the independent motion of objects. Existing algorithms typically focus on either recovering motion and structure under the assumption of a purely static world or ...
Black, Michael J.   +2 more
core   +1 more source

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