Results 61 to 70 of about 343,452 (277)

Deep Optical Flow Learning Networks Combined with Attention Mechanism

Jisuanji 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

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

, 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

Continual Occlusion and Optical Flow Estimation

, 2019
ACCV2018, 16 ...
Michal Neoral, Jan Šochman, Jiří Matas   +2 more
openaire   +2 more sources

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

, 2022
Unsupervised deep learning for optical flow computation has achieved promising results. Most existing deep-net based methods rely on image brightness consistency and local smoothness constraint to train the networks. Their performance degrades at regions
Dai, Yuchao, Ji, Pan, Li, Hongdong, Wang, Jianyuan, Zhong, Yiran   +4 more
core  

Confidence testing optical-flow estimates

Electronics Letters, 1998
Localised estimates of the optical-flow field in a video-frame sequence are noise prone. By observing a similarity between first differential filtering used for two differing purposes, confidence testing of estimates is shown to be reliant on the curvature of an intensity surface. A successful confidence test moves towards hardware implementation.
M. Fleury, A.C. Downton, A.F. Clark
openaire   +1 more source

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

Molecular 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, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Optical flow estimation for a periodic images sequence [PDF]

2008 15th IEEE International Conference on Image Processing, 2008
We propose a temporal modeling approach for determining image motion from a sequence of images wherein the inherent motion is periodic over time. To exploit the periodic nature of the motion, we use a Fourier harmonic representation to model the temporal evolution of the motion field for the entire sequence.
Li, Ling, Yang, Yongyi
openaire   +2 more sources

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

Molecular 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, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang   +12 more
wiley   +1 more source

Adaptive Fractional-Order Multi-Scale Optimization TV-L1 Optical Flow Algorithm

Fractal and Fractional
We propose an adaptive fractional multi-scale optimization optical flow algorithm, which for the first time improves the over-smoothing of optical flow estimation under the total variation model from the perspective of global feature and local texture ...
Qi Yang, Yilu Wang, Lu Liu, Xiaomeng Zhang   +3 more
doaj   +1 more source