1 code implementation • 2 May 2024 • Guangyao Zhai, Evin Pınar Örnek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam
The scheme ensures that the denoising processes are influenced by a holistic understanding of the scene graph, facilitating the generation of globally coherent scenes.
no code implementations • 30 Nov 2023 • Evin Pınar Örnek, Yann Labbé, Bugra Tekin, Lingni Ma, Cem Keskin, Christian Forster, Tomas Hodan
Pose hypotheses are then generated from 2D-3D correspondences established by matching DINOv2 patch features between the query image and a retrieved template, and finally optimized by featuremetric refinement.
1 code implementation • NeurIPS 2023 • Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
The generated scenes can be manipulated by editing the input scene graph and sampling the noise in the diffusion model.
1 code implementation • 22 Dec 2022 • Evin Pınar Örnek, Aravindhan K Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
We introduce a zero-shot split for Tabletop Objects Dataset (TOD-Z) to enable this study and present a method that uses annotated objects to learn the ``objectness'' of pixels and generalize to unseen object categories in cluttered indoor environments.
no code implementations • 2 Dec 2022 • Enis Simsar, Alessio Tonioni, Evin Pınar Örnek, Federico Tombari
3D GANs have the ability to generate latent codes for entire 3D volumes rather than only 2D images.
1 code implementation • 22 Mar 2022 • Ege Özsoy, Evin Pınar Örnek, Ulrich Eck, Tobias Czempiel, Federico Tombari, Nassir Navab
Towards this goal, for the first time, we propose using semantic scene graphs (SSG) to describe and summarize the surgical scene.
Ranked #4 on Scene Graph Generation on 4D-OR
no code implementations • 15 Mar 2022 • Evin Pınar Örnek, Shristi Mudgal, Johanna Wald, Yida Wang, Nassir Navab, Federico Tombari
There have been numerous recently proposed methods for monocular depth prediction (MDP) coupled with the equally rapid evolution of benchmarking tools.
1 code implementation • 2 Dec 2021 • Enis Simsar, Evin Pınar Örnek, Fabian Manhardt, Helisa Dhamo, Nassir Navab, Federico Tombari
With the advent of deep learning, estimating depth from a single RGB image has recently received a lot of attention, being capable of empowering many different applications ranging from path planning for robotics to computational cinematography.
no code implementations • 29 Nov 2021 • Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian, Luc van Gool, Federico Tombari
Parts represent a basic unit of geometric and semantic similarity across different objects.
no code implementations • 9 Jun 2021 • Ege Özsoy, Evin Pınar Örnek, Ulrich Eck, Federico Tombari, Nassir Navab
We then use MSSG to introduce a dynamically generated graphical user interface tool for surgical procedure analysis which could be used for many applications including process optimization, OR design and automatic report generation.