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researcher

A. Krishnamurthy

58 papers hereh-index 252.3k citations177 works total

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

author position
  • middle author45
  • last author13

Across the 58 of 58 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.LG12
  • physics.flu-dyn7
  • cs.CE3
  • cs.GR3
  • math.NA3
same name
  • A. Krishnamurthy — 63 papers, h 47
  • A. Krishnamurthy — 23 papers, h 76
  • A. Krishnamurthy — 9 papers, h 9
  • A. Krishnamurthy — 5 papers, h 2
  • A. Krishnamurthy — 3 papers, h 25
  • A. Krishnamurthy — 1 paper, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedDirect Immersogeometric Fluid Flow and Heat Transfer Analysis of Objects Represented by Point Clouds

20 citations · 67 across the 47 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

3 papers · 2 filters

cs.CV2024

3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs)

Jaydeep Rade, Ethan Herron, Soumik Sarkar +2

Recent advancements in deep learning for predicting 3D protein structures have shown promise, particularly when leveraging inputs like protein sequences and Cryo-Electron microscop…

cs.CV2024★ 2 cited

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra +5

G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the moveme…

cs.CV2024★ 4 cited

Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions

Muhammad Arbab Arshad, Talukder Jubery, James Afful +5

We evaluate different Neural Radiance Fields (NeRFs) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields. Traditional meth…

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