Search Results for author: Gabriel Brostow

Found 13 papers, 7 papers with code

Interactive Sketching of Mannequin Poses

no code implementations14 Dec 2022 Gizem Unlu, Mohamed Sayed, Gabriel Brostow

It can be easy and even fun to sketch humans in different poses.

Vector Graphics

SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models

1 code implementation7 Oct 2022 Omiros Pantazis, Gabriel Brostow, Kate Jones, Oisin Mac Aodha

To combat this, a series of light-weight adaptation methods have been proposed to efficiently adapt such models when limited supervision is available.

General Classification Image Classification +1

Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision

1 code implementation6 Apr 2021 Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel Brostow, Aron Monszpart

Visual re-localization means using a single image as input to estimate the camera's location and orientation relative to a pre-recorded environment.

regression

LookOut! Interactive Camera Gimbal Controller for Filming Long Takes

no code implementations3 Dec 2020 Mohamed Sayed, Robert Cinca, Enrico Costanza, Gabriel Brostow

The job of a camera operator is challenging, and potentially dangerous, when filming long moving camera shots.

Graphics Human-Computer Interaction Robotics

Improved Handling of Motion Blur in Online Object Detection

no code implementations CVPR 2021 Mohamed Sayed, Gabriel Brostow

Also, in contrast to findings from classification, we see a noteworthy boost by conditioning our model on bespoke categories of motion blur.

Deblurring Object +2

Single-Image Depth Prediction Makes Feature Matching Easier

1 code implementation21 Aug 2020 Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel Brostow

Good local features improve the robustness of many 3D re-localization and multi-view reconstruction pipelines.

Depth Estimation Depth Prediction

Deep Blending for Free-Viewpoint Image-Based-Rendering

1 code implementation SIGGRAPH Asia 2018 2018 Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, Gabriel Brostow

We present a new deep learning approach to blending for IBR, in which we use held-out real image data to learn blending weights to combine input photo contributions.

Novel View Synthesis

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