MuVieCAST: Multi-View Consistent Artistic Style Transfer

1 code implementation • 8 Dec 2023 • Nail Ibrahimli, Julian F. P. Kooij, Liangliang Nan

We introduce MuVieCAST, a modular multi-view consistent style transfer network architecture that enables consistent style transfer between multiple viewpoints of the same scene.

Novel View Synthesis Style Transfer

Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds

1 code implementation • 23 Dec 2022 • Shenglan Du, Nail Ibrahimli, Jantien Stoter, Julian Kooij, Liangliang Nan

To improve the segmentation near object boundaries, we propose a boundary-aware feature propagation mechanism.

Multi-Task Learning Object +2

DDL-MVS: Depth Discontinuity Learning for MVS Networks

1 code implementation • 2 Mar 2022 • Nail Ibrahimli, Hugo Ledoux, Julian Kooij, Liangliang Nan

We validate our idea and demonstrate that our strategies can be easily integrated into the existing learning-based MVS pipeline where the reconstruction depends on high-quality depth map estimation.

Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots

1 code implementation • 2 Mar 2018 • Mehmet Turan, Evin Pinar Ornek, Nail Ibrahimli, Can Giracoglu, Yasin Almalioglu, Mehmet Fatih Yanik, Metin Sitti

In the last decade, many medical companies and research groups have tried to convert passive capsule endoscopes as an emerging and minimally invasive diagnostic technology into actively steerable endoscopic capsule robots which will provide more intuitive disease detection, targeted drug delivery and biopsy-like operations in the gastrointestinal(GI) tract.

Robotics