Anilkumar Swamy

Centre Inria de l'Université Grenoble Alpes, Institut national de recherche en sciences et technologies du numérique

Papers

Total Citations

H-Index

About

Anilkumar Swamy is a computer vision researcher specializing in 3D reconstruction and hand-object interaction understanding. His work focuses on the challenging problem of reconstructing hand-object interactions from visual data, an area with significant implications for augmented reality, robotics, and human-computer interaction. Swamy's most notable contribution is the development of SHOWMe, a pioneering benchmark and reconstruction framework that addresses critical limitations in existing hand-object interaction research. Recognizing that prior datasets suffered from limited real-world object variability and over-reliance on parametric hand models like MANO, he introduced a comprehensive dataset comprising 96 annotated videos designed to push the boundaries of object-agnostic 3D reconstruction. This work, which has accumulated citations across both its benchmark (2023) and reconstruction methodology (2024) iterations, demonstrates a commitment to building robust, generalizable systems that can handle diverse real-world objects without object-specific assumptions. By tackling the dual challenges of dataset creation and algorithmic development, Swamy has made meaningful contributions to advancing the field's ability to reconstruct complex hand-object interactions from standard RGB video. His research provides the community with both the evaluation tools and methodological foundations needed to develop more capable and practical hand-object understanding systems.