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Mani Ramanagopal

5 accepted papers

2026

Dual Band Thermal Videography: Separating Time-Varying Reflection and Emission Near Ambient Conditions

CVPR 2026

Long-wave infrared radiation captured by a thermal camera includes (a) emission from an object governed by its temperature and emissivity, and (b) reflected radiation from the surrounding environment. Separating these components is a long-standing challenge in thermography. Even when using multiple

Cited by 0SourceScholar
2026

VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image Pair

CVPR 2026

Decomposing a scene into its reflectance and shading is a challenge due to the lack of extensive ground-truth data for real-world scenes. We introduce a novel physics-based approach for intrinsic image decomposition using a pair of visible and thermal images. We leverage the principle that light not

Cited by 0SourcecodeScholar
2024

A Theory of Joint Light and Heat Transport for Lambertian Scenes

CVPR 2024poster

We present a novel theory that establishes the relationship between light transport in visible and thermal infrared and heat transport in solids. We show that heat generated due to light absorption can be estimated by modeling heat transport using a thermal camera. For situations where heat conducti…

Cited by 3SourcePDFScholar
2024

Shape from Heat Conduction

ECCV 2024oral

"Thermal cameras measure the temperature of objects based on radiation emitted in the infrared spectrum. In this work, we propose a novel shape recovery approach that exploits the properties of heat transport, specifically heat conduction, induced on objects when illuminated using simple light bulbs…

Cited by 1SourcePDFScholar
2023

LONER: LiDAR Only Neural Representations for Real-Time SLAM

RA-L 2023

This letter proposes <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LONER</i> , the first real-time LiDAR SLAM algorithm that uses a neural implicit scene representation. Existing implicit mapping methods for LiDAR show promising results in large-sc

Cited by 46SourceScholar