6 citations · 8 across the 5 of their papers we have counts for
5 papers
Asynchronous Bioplausible Neuron for SNN for Event Vision
Sanket Kachole, Hussain Sajwani, Fariborz Baghaei Naeini +2
Spiking Neural Networks (SNNs) offer a biologically inspired approach to computer vision that can lead to more efficient processing of visual data with reduced energy consumption.…
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
Sanket Kachole, Yusra Alkendi, Fariborz Baghaei Naeini +2
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, mot…
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Sanket Kachole, Xiaoqian Huang, Fariborz Baghaei Naeini +3
Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance. To address t…
A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment
Xiaoqian Huang, Kachole Sanket, Abdulla Ayyad +3
Taking advantage of an event-based camera, the issues of motion blur, low dynamic range and low time sampling of standard cameras can all be addressed. However, there is a lack of…
Security Attacks on Smart Grid Scheduling and Their Defences: A Game-Theoretic Approach
Matthias Pilz, Fariborz Baghaei Naeini, Ketil Grammont +5
The introduction of advanced communication infrastructure into the power grid raises a plethora of new opportunities to tackle climate change. This paper is concerned with the secu…