activity
20162026
most citedAlgorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization

60 citations · 177 across the 53 of their papers we have counts for

collaborators

59 papers

cs.CV2026

A Vision-Language Model (VLM)-based Pipeline for End-to-End Procedural Modeling of Field-Grown Maize from Point Clouds

Mozhgan Hadadi, Talukder Z. Jubery, Adarsh Krishnamurthy +1

Editable 3D models of field-grown crops support high-throughput phenotyping and in silico breeding trials, but building them from scanned point clouds requires organ-level segmenta…

cs.CV2026

Semi-automated reconstruction of indoor geometry from 360-degree video for CFD-based airflow analysis in classrooms

Dhruv Gamdha, James Afful, Shambhavi Joshi +3

Computational Fluid Dynamics (CFD) is widely used to evaluate ventilation and contaminant transport in occupied buildings, but deployment at scale is limited by three bottlenecks:…

cs.CV2026

Automated Maize Ear Phenotyping Using 3D Reconstructions

Ritwesh A. Kumar, Som Tripathi, Peja Matthews +5

Maize kernel traits such as row number, kernels per row, and kernel size vary largely for genetic reasons and are consistently associated with regions of the genome that influence…

cs.CV2026

AI-enabled Low-Cost 3D Maize Ear Morphometry Platform at Breeding Scale

Therin Young, Elijah Rodriguez, Lisa Coffey +4

Maize ear geometry (length, width, curvature, and volume) is closely tied to yield and grain-filling outcomes, but existing high-throughput phenotyping pipelines remain constrained…

cs.CV2026

Lighting-aware Unified Model for Instance Segmentation

Qisai Liu, Alloy Das, Zhanhong Jiang +4

Foundation models like the Segment Anything Model (SAM) demonstrate impressive zero-shot generalization but frequently degrade under diverse real-world illumination, particularly f…

physics.flu-dyn2026

Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows

Suresh Murugaiyan, Claire L. Nelson, Dhruv Gamdha +11

Materials used in polymer-based additive manufacturing processes, such as Digital Light Processing (DLP) and direct ink writing (DIW), typically exhibit non-Newtonian rheology. Car…