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.

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)

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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)

CVPR

Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging (CVPR 2020)

CVPR

Defending Against Universal Attacks Through Selective Feature Regeneration (CVPR 2020)

CVPR

Hardware-in-the-loop End-to-end Optimization of Camera Image Processing Pipelines (CVPR 2020)

Misc

Deep-Inverse Correlography: Towards Real-Time High-Resolution Non-Line-of-Sight Imaging (Optica 2020)

SIGGRAPH

Learned Large Field-of-View Imaging With Thin-Plate Optics (SIGGRAPH Asia 2019)

SIGGRAPH

Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies (SIGGRAPH 2019)

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