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Found 18 papers, 4 papers with code
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
Learning a human-like driving policy from large-scale driving demonstrations is promising, but the uncertainty and non-deterministic nature of planning make it challenging.
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric
Face aging has received continuous research attention over the past two decades.
GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation
Constructing vivid 3D head avatars for given subjects and realizing a series of animations on them is valuable yet challenging.
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency
Finally, quality prediction is obtained by aggregating the subjective scores of the retrieved instances.
Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking
The pixel tracking process starts from the end-diastolic frame of the heart cycle using the available manually segmented images to predict the end-systolic segmentation mask.
Modelling and simulation of electrical propagation in transmural slabs of scarred left ventricle tissue
We report three-dimensional and time-dependent numerical simulations of the propagation of electrical action potentials in a model of rabbit ventricular tissue.
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage
However, encouraged by online services, users would also post asymmetric information across networks, such as geo-locations and texts.
Addendum: Action potential propagation and block in a model of atrial tissue with myocyte-fibroblast coupling
The analytical theory of our earlier study (Mortensen et al. (2021), Mathematical Medicine and Biology, 38(1), pp.
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
However, the low quality of observed user data confuses the judgment on anchor links, resulting in the matching collision problem in practice.
Advanced Geometry Surface Coding for Dynamic Point Cloud Compression
In video-based dynamic point cloud compression (V-PCC), 3D point clouds are projected onto 2D images for compressing with the existing video codecs.
Action potential propagation and block in a model of atrial tissue with myocyte-fibroblast coupling
An asymptotic theory proposed earlier is extended and applied to the case of a uniform fibroblast distribution.
ADASS: Adaptive Sample Selection for Training Acceleration
However, in all existing SGD and its variants, the sample size in each iteration~(epoch) of training is the same as the size of the full training set.
On the Convergence of Memory-Based Distributed SGD
Using the transformation equation, we propose the convergence rate of stagewise M-DSGD which bridges the gap between theory and practice.
Global Momentum Compression for Sparse Communication in Distributed Learning
With the rapid growth of data, distributed momentum stochastic gradient descent~(DMSGD) has been widely used in distributed learning, especially for training large-scale deep models.
Fast Parameter Inference in a Biomechanical Model of the Left Ventricle using Statistical Emulation
Emulation methods avoid computationally expensive simulations from the LV model by replacing the biomechanical model, which is defined in terms of explicit partial differential equations, with a surrogate model inferred from simulations generated before the arrival of a patient, vastly improving computational efficiency at the clinic.
Applications Methodology
Quantized Epoch-SGD for Communication-Efficient Distributed Learning
Due to its efficiency and ease to implement, stochastic gradient descent (SGD) has been widely used in machine learning.
Feature-Distributed SVRG for High-Dimensional Linear Classification
Linear classification has been widely used in many high-dimensional applications like text classification.
Depth Assisted Full Resolution Network for Single Image-based View Synthesis
In this paper, we focus on a more challenging and ill-posed problem that is to synthesize novel viewpoints from one single input image.
