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

Gated2Gated: Self-Supervised Depth Estimation From Gated Images (CVPR 2022)

CVPR

Spiking Transformers for Event-Based Single Object Tracking (CVPR 2022)

CVPR

LiDAR Snowfall Simulation for Robust 3D Object Detection (CVPR 2022)

CVPR

Neural Point Light Fields (CVPR 2022)

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CVPR

Glass Segmentation Using Intensity and Spectral Polarization Cues (CVPR 2022)

CVPR

The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement (CVPR 2022)

CVPR

All-photon Polarimetric Time-of-Flight Imaging (CVPR 2022)

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)

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)

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