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Vivaan Singhvi

2 papers hereh-index 13 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedHigh-Throughput Phenotyping using Computer Vision and Machine Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NE2025

A Scalable Trie Building Algorithm for High-Throughput Phyloanalysis of Wafer-Scale Digital Evolution Experiments

Vivaan Singhvi, Joey Wagner, Emily Dolson +2

Agent-based simulation platforms play a key role in enabling fast-to-run evolution experiments that can be precisely controlled and observed in detail. Availability of high-resolut…

cs.CV2024★ 1 cited

High-Throughput Phenotyping using Computer Vision and Machine Learning

Vivaan Singhvi, Langalibalele Lunga, Pragya Nidhi +2

High-throughput phenotyping refers to the non-destructive and efficient evaluation of plant phenotypes. In recent years, it has been coupled with machine learning in order to impro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.