Search Results for author:
Found 9 papers, 4 papers with code
FoundPose: Unseen Object Pose Estimation with Foundation Features
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.
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
The generated scenes can be manipulated by editing the input scene graph and sampling the noise in the diffusion model.
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments
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.
LatentSwap3D: Semantic Edits on 3D Image GANs
3D GANs have the ability to generate latent codes for entire 3D volumes rather than only 2D images.
4D-OR: Semantic Scene Graphs for OR Domain Modeling
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
From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction
There have been numerous recently proposed methods for monocular depth prediction (MDP) coupled with the equally rapid evolution of benchmarking tools.
Object-aware Monocular Depth Prediction with Instance Convolutions
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.
3D Compositional Zero-shot Learning with DeCompositional Consensus
Parts represent a basic unit of geometric and semantic similarity across different objects.
Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures
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.
