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Indu P. Bodala

3 accepted papers

2025

Structured Pruning for Efficient Visual Place Recognition

RA-L 2025

Visual Place Recognition (VPR) is fundamental for the global re-localization of robots and devices, enabling them to recognize previously visited locations based on visual inputs. This capability is crucial for maintaining accurate mapping and localization over large areas. Given that VPR methods ne

Cited by 1SourceScholar
2025

TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition

RA-L 2025

Visual Place Recognition (VPR) localizes a query image by matching it against a database of geo-tagged reference images, making it essential for navigation and mapping in robotics. Although Vision Transformer (ViT) solutions deliver high accuracy, their large models often exceed the memory and compu

Cited by 2SourceScholar
2024

Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition

RA-L 2024

Visual Place Recognition (VPR) is a critical task for performing global re-localization in visual perception systems, requiring the ability to recognize a previously visited location under variations such as illumination, occlusion, appearance and viewpoint. In the case of robotics, the target devic

Cited by 9SourceScholar