Search Results for author: Frank Julca-Aguilar

Found 5 papers, 3 papers with code

Gated2Gated: Self-Supervised Depth Estimation from Gated Images

1 code implementation CVPR 2022 Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank Julca-Aguilar, Michael Langer, Werner Ritter, Felix Heide

Gated cameras hold promise as an alternative to scanning LiDAR sensors with high-resolution 3D depth that is robust to back-scatter in fog, snow, and rain.

Depth Estimation

Gated2Depth: Real-time Dense Lidar from Gated Images

2 code implementations ICCV 2019 Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide

The proposed replacement for scanning lidar systems is real-time, handles back-scatter and provides dense depth at long ranges.

Scene Understanding

A General Framework for the Recognition of Online Handwritten Graphics

no code implementations19 Sep 2017 Frank Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata

We then model the recognition problem as a graph parsing problem: given an input stroke set, we search for a parse tree that represents the best interpretation of the input.

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

1 code implementation23 Jan 2017 Steven Diamond, Vincent Sitzmann, Frank Julca-Aguilar, Stephen Boyd, Gordon Wetzstein, Felix Heide

As such, conventional imaging involves processing the RAW sensor measurements in a sequential pipeline of steps, such as demosaicking, denoising, deblurring, tone-mapping and compression.

Autonomous Driving Deblurring +10

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