activity
20182022
most citedA Convolutional Neural Network Approach to the Classification of Engineering Models

39 citations · 98 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 2 cited

SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system

Bharadwaj Manda, Prasad Kendre, Subhrajit Dey +1

Search and retrieval remains a major research topic in several domains, including computer graphics, computer vision, engineering design, etc. A search engine requires primarily an…

cs.CV2021★ 1 cited

A learning-based approach to feature recognition of Engineering shapes

Lakshmi Priya Muraleedharan, Ramanathan Muthuganapathy

In this paper, we propose a machine learning approach to recognise engineering shape features such as holes, slots, etc. in a CAD mesh model. With the advent of digital archiving,…

cs.CV2021★ 35 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.CV2021★ 39 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.CV2020★ 1 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★ 20 cited

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-…