activity
20202024
most citedComparative Analysis of Multiple Deep CNN Models for Waste Classification

32 citations · 49 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 1 cited

Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation

Dipesh Gyawali, Jian Zhang, BB Karki

Point cloud segmentation, which helps us understand the environment of specific structures and objects, can be performed in class-specific and class-agnostic ways. We propose a nov…

cs.HC2023

Mixed Reality: The Interface of the Future

Dipesh Gyawali

The world is slowly moving towards everything being simulated digitally and virtually. Mixed Reality (MR) is the amalgam of the real world with virtual stimuli. It has great prospe…

cs.DC2023★ 6 cited

Comparative Analysis of CPU and GPU Profiling for Deep Learning Models

Dipesh Gyawali

Deep Learning(DL) and Machine Learning(ML) applications are rapidly increasing in recent days. Massive amounts of data are being generated over the internet which can derive meanin…

cs.DC2022

Writing summary for the state-of-the-art methods for big data clustering in distributed environment

Dipesh Gyawali

Big Data processing systems handle huge unstructured and structured data to store, process, and analyze through cluster analysis which helps in identifying unseen patterns to find…

cs.CV2021★ 10 cited

Age Range Estimation using MTCNN and VGG-Face Model

Dipesh Gyawali, Prashanga Pokharel, Ashutosh Chauhan +1

The Convolutional Neural Network has amazed us with its usage on several applications. Age range estimation using CNN is emerging due to its application in myriad of areas which ma…

cs.CV2020★ 32 cited

Comparative Analysis of Multiple Deep CNN Models for Waste Classification

Dipesh Gyawali, Alok Regmi, Aatish Shakya +2

Waste is a wealth in a wrong place. Our research focuses on analyzing possibilities for automatic waste sorting and collecting in such a way that helps it for further recycling pro…