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19992026
most citedSemantic Graph Convolutional Networks for 3D Human Pose Regression

521 citations

Showing 2022Show all

9 papers · 1 filter

astro-ph.EP2022★ 16 cited

Liquid Water on Cold Exo-Earths via Basal Melting of Ice Sheets

Lujendra Ojha, Bryce Troncone, Jacob Buffo +2

Liquid water is a critical component of habitability. However, the production and stability of surficial liquid water can be challenging on planets outside the Habitable Zone and d…

cs.RO2022★ 16 cited

A Survey on the Integration of Machine Learning with Sampling-based Motion Planning

Troy McMahon, Aravind Sivaramakrishnan, Edgar Granados +1

Sampling-based methods are widely adopted solutions for robot motion planning. The methods are straightforward to implement, effective in practice for many robotic systems. It is o…

math.PR2022★ 1 cited

Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration

Nawaf Bou-Rabee, Milo Marsden

A randomized time integrator is suggested for unadjusted Hamiltonian Monte Carlo (uHMC) which involves a very minor modification to the usual Verlet time integrator, and hence, is…

eess.SP2022★ 16 cited

Programming Wireless Security through Learning-Aided Spatiotemporal Digital Coding Metamaterial Antenna

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu +2

The advancement of future large-scale wireless networks necessitates the development of cost-effective and scalable security solutions. Conventional cryptographic methods, due to t…

cond-mat.mtrl-sci2022★ 21 cited

Linking emergent phenomena and broken symmetries through one-dimensional objects and their dot/cross products

Sang-Wook Cheong, Fei-Ting Huang, Minhyong Kim

The symmetry of the whole experimental setups, including specific sample environments and measurables, can be compared with that of specimens for observable physical phenomena. We,…

cs.CL2022★ 3 cited

How people talk about each other: Modeling Generalized Intergroup Bias and Emotion

Venkata S Govindarajan, Katherine Atwell, Barea Sinno +3

Current studies of bias in NLP rely mainly on identifying (unwanted or negative) bias towards a specific demographic group. While this has led to progress recognizing and mitigatin…

cs.DS2022★ 1 cited

Brooks' Theorem in Graph Streams: A Single-Pass Semi-Streaming Algorithm for -Coloring

Sepehr Assadi, Pankaj Kumar, Parth Mittal

Every graph with maximum degree can be colored with colors using a simple greedy algorithm. Remarkably, recent work has shown that one can find such a coloring even in…

hep-ex2022★ 9 cited

Model selection and signal extraction using Gaussian Process regression

Abhijith Gandrakota, Amitabh Lath, Alexandre V. Morozov +1

We present a novel computational approach for extracting weak signals, whose exact location and width may be unknown, from complex background distributions with an arbitrary functi…

cs.RO2022★ 9 cited

Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration

Yuhan Zhao, Baichuan Huang, Jingjin Yu +1

In this study, we explore the application of game theory, in particular Stackelberg games, to address the issue of effective coordination strategy generation for heterogeneous robo…