Daniele Chiappalupi

Computer ScienceNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios”.

RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios

IEEE Transactions on Visualization and Computer Graphics(2023)10.1109/tvcg.2023.3326568

N/A

0DataRank · unranked

13 citations

Daniele Chiappalupi, Tica Lin, Yalong Yang, Johanna Beyer, Hanspeter Pfister +1 more

RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios

arXiv (Cornell University)(2023)10.48550/arxiv.2308.13540

N/A

0DataRank · unranked

3 citations

Daniele Chiappalupi, Tica Lin, Yalong Yang, Johanna Beyer, Hanspeter Pfister +1 more