Lakshmi Annamalai — accepted AI-conference papers

2024

EventMASK: A Frame-Free Rapid Human Instance Segmentation With Event Camera Through Constrained Mask Propagation

Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur

RA-L 2024

Human Instance Segmentation (HIS) is essential in robotics for applications such as autonomous driving and human-robot interaction, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">etc</i> . Existing HIS solutions using conventional cameras are comput

Cited by 1 Source ↗Scholar ↗

2022

Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data

Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur

RA-L 2022

Event cameras are activity-driven bio-inspired vision sensors that respond asynchronously to intensity changes resulting in sparse data known as events. It has potential advantages over conventional cameras, such as high temporal resolution, low latency, and low power consumption. Given the sparse a

Cited by 16 Source ↗Scholar ↗