32 citations · 53 across the 6 of their papers we have counts for
6 papers · 1 filter
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
Guangyao Zhai, Evin Pınar Örnek, Dave Zhenyu Chen +5
We present EchoScene, an interactive and controllable generative model that generates 3D indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that dynam…
FoundPose: Unseen Object Pose Estimation with Foundation Features
Evin Pınar Örnek, Yann Labbé, Bugra Tekin +4
We propose FoundPose, a model-based method for 6D pose estimation of unseen objects from a single RGB image. The method can quickly onboard new objects using their 3D models withou…
4D-OR: Semantic Scene Graphs for OR Domain Modeling
Ege Özsoy, Evin Pınar Örnek, Ulrich Eck +3
Surgical procedures are conducted in highly complex operating rooms (OR), comprising different actors, devices, and interactions. To date, only medically trained human experts are…
From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction
Evin Pınar Örnek, Shristi Mudgal, Johanna Wald +3
There have been numerous recently proposed methods for monocular depth prediction (MDP) coupled with the equally rapid evolution of benchmarking tools. However, we argue that MDP i…
Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures
Ege Özsoy, Evin Pınar Örnek, Ulrich Eck +2
From a computer science viewpoint, a surgical domain model needs to be a conceptual one incorporating both behavior and data. It should therefore model actors, devices, tools, thei…
Zero-Shot Activity Recognition with Videos
Evin Pinar Ornek
In this paper, we examined the zero-shot activity recognition task with the usage of videos. We introduce an auto-encoder based model to construct a multimodal joint embedding spac…