Results 71 to 80 of about 343,452 (277)

Facial optical flow estimation via neural non-rigid registration

Computational Visual Media, 2022
Optical flow estimation in human facial video, which provides 2D correspondences between adjacent frames, is a fundamental pre-processing step for many applications, like facial expression capture and recognition.
Zhuang Peng, Boyi Jiang, Haofei Xu, Wanquan Feng, Juyong Zhang   +4 more
doaj   +1 more source

Real-Time Optical Flow Estimation Method Based on Cross-Stage Network

Applied Sciences, 2023
In this paper, a real-time optical flow estimation method based on a cross-stage network is proposed. The proposed model is designed with a network structure with encoders and decoders. The proposed method combines cross-stage network technology with the
Min-Hong Park, Jae-Hoon Cho, Yong-Tae Kim   +2 more
doaj   +1 more source

EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

, 2018
Event-based cameras have shown great promise in a variety of situations where frame based cameras suffer, such as high speed motions and high dynamic range scenes. However, developing algorithms for event measurements requires a new class of hand crafted
Chaney, Kenneth, Daniilidis, Kostas, Yuan, Liangzhe, Zhu, Alex Zihao   +3 more
core   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular 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, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

A Novel Moving Object Detection Algorithm Based on Robust Image Feature Threshold Segmentation with Improved Optical Flow Estimation

Applied Sciences, 2023
The detection of moving objects in images is a crucial research objective; however, several challenges, such as low accuracy, background fixing or moving, ‘ghost’ issues, and warping, exist in its execution.
Jing Ding, Zhen Zhang, Xuexiang Yu, Xingwang Zhao, Zhigang Yan   +4 more
doaj   +1 more source

Occlusion Aware Unsupervised Learning of Optical Flow

, 2018
It has been recently shown that a convolutional neural network can learn optical flow estimation with unsupervised learning. However, the performance of the unsupervised methods still has a relatively large gap compared to its supervised counterpart ...
Wang, Peng, Wang, Yang, Xu, Wei, Yang, Yi, Yang, Zhenheng, Zhao, Liang   +5 more
core   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Deep HDR Deghosting by Motion-Attention Fusion Network

Sensors, 2022
Multi-exposure image fusion (MEF) methods for high dynamic range (HDR) imaging suffer from ghosting artifacts when dealing with moving objects in dynamic scenes. The state-of-the-art methods use optical flow to align low dynamic range (LDR) images before
Yifan Xiao, Peter Veelaert, Wilfried Philips   +2 more
doaj   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Self-Supervised Pre-Training for Optical Flow Estimation via Contrastive Learning

IEEE Access
To address the issues of dataset dependency and correlation volume redundancy in optical flow estimation, contrastive learning is introduced to build a self supervised optical flow framework.
Feng An, Wenyin Tao
doaj   +1 more source