activity
20182021
most citedA Convolutional Neural Network Approach to the Classification of Engineering Models

39 citations · 75 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202135 cited

'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks

Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran +2

Ongoing advancements in the fields of 3D modelling and digital archiving have led to an outburst in the amount of data stored digitally. Consequently, several retrieval systems hav…

cs.CV202139 cited

A Convolutional Neural Network Approach to the Classification of Engineering Models

Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy

This paper presents a deep learning approach for the classification of Engineering (CAD) models using Convolutional Neural Networks (CNNs). Owing to the availability of large annot…

cs.GR2021

2D Points Curve Reconstruction Survey and Benchmark

Stefan Ohrhallinger, Jiju Peethambaran, Amal D. Parakkat +2

Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like han…

cs.CV20201 cited

Point Transformer for Shape Classification and Retrieval of 3D and ALS Roof PointClouds

Dimple A Shajahan, Mukund Varma T, Ramanathan Muthuganapathy

The success of deep learning methods led to significant breakthroughs in 3-D point cloud processing tasks with applications in remote sensing. Existing methods utilize convolutions…

cs.GR2018

Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling

Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1

This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…