Research Paper Report

3DVAEReCNN: Region-based Convolutional Neural Network for Volumetric Rendering of Indoor Scenes

Date of Submission
21st Feb 2023

General Information:

Year Of Paper Submission : 2021-22
Type of Applicant : Student
Selected Course : UG
Department of Applicant : IT
Class of Applicant : B.E.

Applicants Details:

UCID of Applicant : 2018140021
Applicant Name : Pravesh Ganwani
Applicant Email : pravesh.ganwani@spit.ac.in
Applicant Contact Number : 9930592116
UCID of Applicant No. 2 : 2018140018
Applicant No. 2 Name : Karan Gala
Applicant No. 2 Email : karan.gala@spit.ac.in
Applicant No. 2 Contact Number : 9869379456
UCID of Applicant No. 3 : 2018140032
Applicant No. 3 Name : Rucha Kulkarni
Applicant No. 3 Email : rucha.kulkarni@spit.ac.in
Applicant No. 3 Contact Number : 9619274773

Guide Details:

Department of Guide No. 1 : Information Technology
Name of First Guide : Prof. Renuka Pawar
Department of Guide No. 2 : Information Technology
Name of Second Guide : Prof. Kailas K. Devadkar

Paper Details:

Title of Paper : 3DVAEReCNN: Region-based Convolutional Neural Network for Volumetric Rendering of Indoor Scenes
Type of Paper : national
Type of Publication : national
Name of the Conference/journal/publisher : 2nd International Conference on Intelligent Technologies (CONIT 2022)
Date Of Conference / Journal / Book : 2022-06-24
Conference_Type : ieee
Name of the Hosting Institute of the Conference : K L E Institute of Technology
Address of Host Institute : K L E Institute of Technology, Opposite Airport, Gokul, Hubli, Karnataka 580-027
ISBN : 978-1-6654-8407-7
Indexed : Yes - 10.1109/CONIT55038.2022.9848353