output
20112026
most citedAdvanced capabilities for materials modelling with Quantum ESPRESSO

7.7k citations

Showing 2021Show all

18 papers · 1 filter

cs.CV2021★ 44 cited

3D shape sensing and deep learning-based segmentation of strawberries

Justin Le Louëdec, Grzegorz Cielniak

Automation and robotisation of the agricultural sector are seen as a viable solution to socio-economic challenges faced by this industry. This technology often relies on intelligen…

cs.CV2021

In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging

Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard +4

Effective early detection of potato late blight (PLB) is an essential aspect of potato cultivation. However, it is a challenge to detect late blight at an early stage in fields wit…

cs.CV2021

Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model

Chao Qi, Junfeng Gao, Simon Pearson +3

Tea chrysanthemum detection at its flowering stage is one of the key components for selective chrysanthemum harvesting robot development. However, it is a challenge to detect flowe…

astro-ph.EP2021★ 46 cited

TOI-2076 and TOI-1807: Two young, comoving planetary systems within 50 pc identified by TESS that are ideal candidates for further follow-up

Christina Hedges, Alex Hughes, Steven Giacalone +42

We report the discovery of two planetary systems around comoving stars; TOI-2076 (TIC 27491137) and TOI-1807 (TIC 180695581). TOI-2076 is a nearby (41.9 pc) multi-planetary system…

gr-qc2021★ 2 cited

Change in Hamiltonian General Relativity with Spinors

J. Brian Pitts

In Hamiltonian GR, change has seemed to be missing, defined only asymptotically, or otherwise obscured at best. By construing change as essential time dependence, can one find chan…

cs.CV2021★ 30 cited

DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors

Anargyros Chatzitofis, Dimitrios Zarpalas, Stefanos Kollias +1

In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflect…