92 citations · 108 across the 5 of their papers we have counts for
5 papers
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction
Prashant Kumar, Dhruv Makwana, Onkar Susladkar +2
Accurate static structure reconstruction and segmentation of non-stationary objects is of vital importance for autonomous navigation applications. These applications assume a LiDAR…
TPFNet: A Novel Text In-painting Transformer for Text Removal
Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh +3
Text erasure from an image is helpful for various tasks such as image editing and privacy preservation. In this paper, we present TPFNet, a novel one-stage (end-toend) network for…
ACLNet: An Attention and Clustering-based Cloud Segmentation Network
Dhruv Makwana, Subhrajit Nag, Onkar Susladkar +4
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images. ACLNet uses both deep neural network and machine learning (ML) algorithm to extract…
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects
Subhrajit Nag, Dhruv Makwana, Sai Chandra Teja R +2
As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since the manual inspection…
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun, Ajith Kumar, Guanci Yang +4
Graph Convolutional Networks (GCNs) are widely used in many applications yet still need large amounts of labelled data for training. Besides, the adjacency matrix of GCNs is stable…