I am a postdoctoral researcher at PAVIS, Istituto Italiano di Tecnologia (IIT), Genova, Italy, working with Dr. Alessio Del Bue.
I am working on a research problem, estimating the 3D keypoints for deformable objects in a self-supervised way.
I have done my PhD from the same (PAVIS) lab on March 27th, 2023, where I have desinged deep leanring networks to estimate 3D keypoints for rigid objects considering 2D and 3D data.
The paper introduces "SelfGeo", a self-supervised method for estimating persistent
3D keypoints on deformable shapes without requiring human annotations.
This generalized approach is broadly applicable, without being limited to specific shapes.
The paper presents a self-supervised approach to estimate 3D keypoints that are semantically coherent, proximal to
PCD surface and resilient to PCD perturbations.
This work presents a ROS-based algorithm for constructing dynamic maps,
which exploits the spatial-temporal locality for detecting and tracking moving objects
without relying on prior knowledge of their geometrical features.
Our paper presents an end-to-end 3D reconsturction approach that learns to compute stable features for an object by reducing the influence of image background.
The paper presents an autonomous seeder robot that minimizes human involvement in the sowing process; thus, it reduces errors and time consumption and increases efficiency.