Search Results for author: Benjamin Busam

Found 44 papers, 6 papers with code

Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging

no code implementations25 Jan 2023 Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab

In our work, we discuss direction-dependent changes in the scene and show that a physics-inspired rendering improves the fidelity of US image synthesis.

Image Generation Neural Rendering

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation

no code implementations25 Dec 2022 Hanzhi Chen, Fabian Manhardt, Nassir Navab, Benjamin Busam

In this paper, we introduce neural texture learning for 6D object pose estimation from synthetic data and a few unlabelled real images.

6D Pose Estimation using RGB

OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection

no code implementations2 Nov 2022 Yongzhi Su, Yan Di, Fabian Manhardt, Guangyao Zhai, Jason Rambach, Benjamin Busam, Didier Stricker, Federico Tombari

Despite monocular 3D object detection having recently made a significant leap forward thanks to the use of pre-trained depth estimators for pseudo-LiDAR recovery, such two-stage methods typically suffer from overfitting and are incapable of explicitly encapsulating the geometric relation between depth and object bounding box.

Monocular 3D Object Detection object-detection

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

no code implementations27 Sep 2022 Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic

More specifically, 3D structures of the whole frame are first represented by our global PPF signatures, from which structural descriptors are learned to help geometric descriptors sense the 3D world beyond local regions.

Point Cloud Registration

Holistic Segmentation

no code implementations12 Sep 2022 Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari

In this work, we propose the necessary step to extend segmentation with a new task which we term holistic segmentation.

Panoptic Segmentation Scene Understanding

Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment

no code implementations5 Aug 2022 Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan

Specifically, we focus on human appearance and learn implicit pose, shape and garment representations of dressed humans from RGB images.

3D Reconstruction Disentanglement

DA$^2$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping

no code implementations31 Jul 2022 Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang

In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects.

CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud Learning

no code implementations31 Jul 2022 Mahdi Saleh, Yige Wang, Nassir Navab, Benjamin Busam, Federico Tombari

The proposed hierarchical model achieves state-of-the-art shape classification in mean accuracy and yields results on par with the previous segmentation methods while requiring significantly fewer computations.

Scene Segmentation

BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks

no code implementations9 Jun 2022 Shervin Dehghani, Benjamin Busam, Nassir Navab, Ali Nasseri

Despite its broad availability, volumetric information acquisition from Bright-Field Microscopy (BFM) is inherently difficult due to the projective nature of the acquisition process.

Instance Segmentation Semantic Segmentation

OSOP: A Multi-Stage One Shot Object Pose Estimation Framework

no code implementations CVPR 2022 Ivan Shugurov, Fu Li, Benjamin Busam, Slobodan Ilic

We present a novel one-shot method for object detection and 6 DoF pose estimation, that does not require training on target objects.

object-detection Object Detection +1

CroMo: Cross-Modal Learning for Monocular Depth Estimation

no code implementations CVPR 2022 Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Aleš Leonardis, Steven McDonagh

Learning-based depth estimation has witnessed recent progress in multiple directions; from self-supervision using monocular video to supervised methods offering highest accuracy.

Monocular Depth Estimation

Know your sensORs -- A Modality Study For Surgical Action Classification

no code implementations16 Mar 2022 Lennart Bastian, Tobias Czempiel, Christian Heiliger, Konrad Karcz, Ulrich Eck, Benjamin Busam, Nassir Navab

Existing datasets from OR room cameras are thus far limited in size or modalities acquired, leaving it unclear which sensor modalities are best suited for tasks such as recognizing surgical action from videos.

Action Classification Action Recognition +1

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments

no code implementations7 Dec 2021 HyunJun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam

Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth estimation for mobile devices due to its small size and affordable price.

Depth Estimation Depth Prediction

R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes

no code implementations10 Aug 2021 Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari

While self-supervised monocular depth estimation in driving scenarios has achieved comparable performance to supervised approaches, violations of the static world assumption can still lead to erroneous depth predictions of traffic participants, posing a potential safety issue.

Autonomous Vehicles Monocular Depth Estimation

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

no code implementations5 Mar 2021 Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab

In this paper we introduce OperA, a transformer-based model that accurately predicts surgical phases from long video sequences.

Surgical phase recognition

I Like to Move It: 6D Pose Estimation as an Action Decision Process

no code implementations26 Sep 2020 Benjamin Busam, Hyun Jun Jung, Nassir Navab

We change this paradigm and reformulate the problem as an action decision process where an initial pose is updated in incremental discrete steps that sequentially move a virtual 3D rendering towards the correct solution.

6D Pose Estimation Pose Prediction +2

DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching

no code implementations31 Jul 2020 Patrick Ruhkamp, Ruiqi Gong, Nassir Navab, Benjamin Busam

Feature based visual odometry and SLAM methods require accurate and fast correspondence matching between consecutive image frames for precise camera pose estimation in real-time.

Pose Estimation Visual Odometry

HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning

1 code implementation12 May 2020 Axel Barroso-Laguna, Yannick Verdie, Benjamin Busam, Krystian Mikolajczyk

Local feature extraction remains an active research area due to the advances in fields such as SLAM, 3D reconstructions, or AR applications.

3D Reconstruction

A Multi-Hypothesis Approach to Color Constancy

1 code implementation CVPR 2020 Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

Firstly, we select a set of candidate scene illuminants in a data-driven fashion and apply them to a target image to generate of set of corrected images.

Color Constancy

SteReFo: Efficient Image Refocusing with Stereo Vision

no code implementations29 Sep 2019 Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory Slabaugh

Whether to attract viewer attention to a particular object, give the impression of depth or simply reproduce human-like scene perception, shallow depth of field images are used extensively by professional and amateur photographers alike.

Depth Estimation

Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits

no code implementations4 Jan 2019 Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm

Based upon the idea of aligning the quadric gradients with the surface normals, our first formulation is exact and requires as low as four oriented points.

A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds

no code implementations CVPR 2018 Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm

As opposed to state-of-the-art, where a tailored algorithm treats each primitive type separately, we propose to encapsulate all types in a single robust detection procedure.

Scene Understanding

Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions

no code implementations24 Apr 2017 Benjamin Busam, Tolga Birdal, Nassir Navab

Time-varying, smooth trajectory estimation is of great interest to the vision community for accurate and well behaving 3D systems.

Pose Tracking regression +1

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