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Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
AngelMartínez-González, MichaelVillamizar, OlivierCanévet....
Published date-11/10/2020
3DHumanPoseEstimation, 3DPoseEstimation, Humanrobotinteraction, PoseEstimation
We propose to leverage recent advances in reliable 2D pose estimation with Convolutional Neural Networks (CNN) to estimate the 3D pose of people from depth images in multi-person Human-Robot Interaction …
Building an Automated and Self-Aware Anomaly Detection System
SayanChakraborty, SmitShah, KiumarsSoltani....
Published date-11/10/2020
AnomalyDetection, TimeSeries
Organizations rely heavily on time series metrics to measure and model key aspects of operational and business performance. The ability to reliably detect issues with these metrics is imperative to …
Two-Sided Fairness in Non-Personalised Recommendations
AadiSwadiptoMondal, RakeshBal, SayanSinha....
Published date-11/10/2020
fairness, RecommendationSystems
Recommender systems are one of the most widely used services on several online platforms to suggest potential items to the end-users. These services often use different machine learning techniques for …
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
MartinGubri, MaximeCordy, MikePapadakis....
Published date-11/10/2020
Deep neural networks are vulnerable to evasion attacks, i.e., carefully crafted examples designed to fool a model at test time. Attacks that successfully evade an ensemble of models can transfer …
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
HermanYau, ChrisRussell, SimonHadfield....
Published date-11/10/2020
We present a novel form of explanation for Reinforcement Learning, based around the notion of intended outcome. These explanations describe the outcome an agent is trying to achieve by its …
Towards a Better Global Loss Landscape of GANs
RuoyuSun, TiantianFang, AlexSchwing....
Published date-11/10/2020
Understanding of GAN training is still very limited. One major challenge is its non-convex-non-concave min-max objective, which may lead to sub-optimal local minima. In this work, we perform a global …