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Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
HaoyiFan, FengbinZhang, YueGao....
Published date-11/27/2020
RelationalReasoning, RepresentationLearning, Self-SupervisedLearning, TimeSeries, TimeSeriesClassification
Self-supervised learning achieves superior performance in many domains by extracting useful representations from the unlabeled data. However, most of traditional self-supervised methods mainly focus on exploring the inter-sample structure while …
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
MatheusR.F.Mendonça, AndréM.S.Barreto, ArturZiviani....
Published date-11/27/2020
GraphEmbedding
Network seeding for efficient information diffusion over time-varying graphs~(TVGs) is a challenging task with many real-world applications. There are several ways to model this spatio-temporal influence maximization problem, but the …
Navigating the GAN Parameter Space for Semantic Image Editing
AntonCherepkov, AndreyVoynov, ArtemBabenko....
Published date-11/27/2020
ImageRestoration, Image-to-ImageTranslation
Generative Adversarial Networks (GANs) are currently an indispensable tool for visual editing, being a standard component of image-to-image translation and image restoration pipelines. Furthermore, GANs are especially useful for controllable …
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification
HaoChen, BenoitLagadec, FrancoisBremond....
Published date-11/27/2020
DomainAdaptation, PersonRe-Identification, UnsupervisedDomainAdaptation, UnsupervisedPersonRe-Identification
The objective of unsupervised person re-identification (Re-ID) is to learn discriminative features without labor-intensive identity annotations. State-of-the-art unsupervised Re-ID methods assign pseudo labels to unlabeled images in the target domain …
Efficient Scene Compression for Visual-based Localization
MarcelaMera-Trujillo, BenjaminSmith, VictorFragoso....
Published date-11/27/2020
3DReconstruction
Estimating the pose of a camera with respect to a 3D reconstruction or scene representation is a crucial step for many mixed reality and robotics applications. Given the vast amount …
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
VictorFragoso, SudiptaSinha....
Published date-11/27/2020
We present gP4Pc, a new method for computing the absolute pose of a generalized camera with unknown internal scale from four corresponding 3D point-and-ray pairs. Unlike most pose-and-scale methods, gP4Pc …