A deep learning framework for unsupervised affine and deformable image registration

BD De Vos, FF Berendsen, MA Viergever… - Medical image …, 2019 - Elsevier
… coarse-to-fine image registration. We show for registration of cardiac cine MRI and registration
of chest CT that … Adaptive stochastic gradient descent was used for iterative optimization. …

Fast and robust matching for multimodal remote sensing image registration

Y Ye, L Bruzzone, J Shan, F Bovolo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… Then, we define a fast similarity measure based on the feature representation using the fast
Fourier transform (FFT) in the frequency domain. A template matching strategy is employed …

Teaser: Fast and certifiable point cloud registration

H Yang, J Shi, L Carlone - IEEE Transactions on Robotics, 2020 - ieeexplore.ieee.org
… for 3-D registration with outliers. We reformulate the registration problem using a truncated
least … In this section, we propose an adaptive voting algorithm to solve exactly the robust scale …

Learning a probabilistic model for diffeomorphic registration

J Krebs, H Delingette, B Mailhé… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
… Probabilistic Registration using a Generative Model We introduce a generative and
probabilistic model for diffeomorphic image registration, inspired by generative latent variable …

Alignedreid++: Dynamically matching local information for person re-identification

H Luo, W Jiang, X Zhang, X Fan, J Qian, C Zhang - Pattern Recognition, 2019 - Elsevier
… Matching Local Information (DMLI) that could dynamically align local information without …
learned with global features and local feature based on DMLI. AlignedReID++ improves the …

Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection

H Yang, P Antonante, V Tzoumas… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
… [27] develop the generalpurpose Adaptive Trimming (ADAPT) algorithm, that has linear
running time, and, instead, is applicable when a non-minimal solver exists. Mangelson et al. [30] …

Transmorph: Transformer for unsupervised medical image registration

J Chen, EC Frey, Y He, WP Segars, Y Li, Y Du - Medical image analysis, 2022 - Elsevier
… can be readily adapted to several existing techniques to allow diffeomorphism for image
registration, and incorporate Bayesian deep learning to estimate registration uncertainty. …

BIRNet: Brain image registration using dual-supervised fully convolutional networks

J Fan, X Cao, PT Yap, D Shen - Medical image analysis, 2019 - Elsevier
… The output is 24 × 24 × 24 patch of displacement vectors, because the deformable prediction
is highly related to the local information of the image and also we can only estimate the …

Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking

T Xu, ZH Feng, XJ Wu, J Kittler - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
… integrating historical appearance information. To eliminate these problems, we advocate
the joint use of temporal information and spatial regularization for adaptive target appearance …

Measuring adaptive control in conflict tasks

S Braem, JM Bugg, JR Schmidt, MJC Crump… - Trends in cognitive …, 2019 - cell.com
… and neural mechanisms of adaptive control processes that … confound-minimized metrics
of adaptive control. The resulting … can measure four hallmark indices of adaptive control (the …