2 citations · 2 across the 2 of their papers we have counts for
4 papers
EventSSEG: Event-driven Self-Supervised Segmentation with Probabilistic Attention
Lakshmi Annamalai, Chetan Singh Thakur
Road segmentation is pivotal for autonomous vehicles, yet achieving low latency and low compute solutions using frame based cameras remains a challenge. Event cameras offer a promi…
EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
Lakshmi Annamalai, Chetan Singh Thakur
Bio-inspired Address Event Representation (AER) sensors have attracted significant popularity owing to their low power consumption, high sparsity, and high temporal resolution. Spi…
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur
Event cameras are activity-driven bio-inspired vision sensors, thereby resulting in advantages such as sparsity,high temporal resolution, low latency, and power consumption. Given…
EvAn: Neuromorphic Event-based Anomaly Detection
Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur
Event-based cameras are bio-inspired novel sensors that asynchronously record changes in illumination in the form of events, thus resulting in significant advantages over conventio…