Our Research

The Algolux research team is focused on advancing the state-of-the-art in artificial intelligence, perception, and computational imaging. This page compiles our most recent publications.

Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design

SIGGRAPH

Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design

Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging

SIGGRAPH

Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging

Dirty Pixels: Towards End-to-End Image Processing and Perception

SIGGRAPH

Dirty Pixels: Towards End-to-End Image Processing and Perception

Thallo – Scheduling for High-Performance Large-scale Non-linear Least-Squares Solvers

SIGGRAPH

Thallo – Scheduling for High-Performance Large-scale Non-linear Least-Squares Solvers (SIGGRAPH 2021)

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CVPR

End-to-end High Dynamic Range Camera Pipeline Optimization (CVPR 2021)

CVPR

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging (CVPR 2021)

CVPR

Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo (CVPR 2021)

CVPR

Neural Auto Exposure for High-Dynamic Range Object Detection (CVPR 2021)

CVPR

Neural Scene Graphs for Dynamic Scenes (CVPR 2021)

CVPR

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media (CVPR 2021)

CVPR

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather (CVPR 2020)

CVPR

Seeing Around Street Corners: Non-Line-of-Sight Detection (NLOS) and Tracking In-the-Wild Using Doppler Radar (CVPR 2020)

CVPR

Single-shot Monocular RGB-D Imaging using Uneven Double Refraction (CVPR 2020)

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