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03/26/2023
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
Learning-based methods to solve dense 3D vision problems typically train...
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03/14/2023
Rotation-Invariant Transformer for Point Cloud Matching
The intrinsic rotation invariance lies at the core of matching point clo...
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10/12/2022
What can we learn about a generated image corrupting its latent representation?
Generative adversarial networks (GANs) offer an effective solution to th...
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09/27/2022
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Successful point cloud registration relies on accurate correspondences e...
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07/06/2022
Multi-View Object Pose Refinement With Differentiable Renderer
This paper introduces a novel multi-view 6 DoF object pose refinement ap...
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07/06/2022
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation
We propose a three-stage 6 DoF object detection method called DPODv2 (De...
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05/09/2022
Is my Depth Ground-Truth Good Enough? HAMMER – Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression
Depth estimation is a core task in 3D computer vision. Recent methods in...
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03/29/2022
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
We present a novel one-shot method for object detection and 6 DoF pose e...
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03/09/2022
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
Pose estimation of 3D objects in monocular images is a fundamental and l...
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10/26/2021
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration
We study the problem of extracting correspondences between a pair of poi...
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08/09/2021
DistillPose: Lightweight Camera Localization Using Auxiliary Learning
We propose a lightweight retrieval-based pipeline to predict 6DOF camera...
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12/20/2020
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
In this work, we introduce Deep Bingham Networks (DBN), a generic framew...
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10/08/2020
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
We present an approach for detecting and estimating the 3D poses of obje...
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04/09/2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
We present a multimodal camera relocalization framework that captures am...
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11/22/2019
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
We present a novel method to track 3D models in color and depth data. To...
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08/29/2019
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining
We present a novel approach to the detection and 3D pose estimation of o...
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08/20/2019
On Object Symmetries and 6D Pose Estimation from Images
Objects with symmetries are common in our daily life and in industrial c...
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04/09/2019
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
In this paper, we address the problem of 3D object instance recognition ...
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04/08/2019
3D Local Features for Direct Pairwise Registration
We present a novel, data driven approach for solving the problem of regi...
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04/05/2019
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects
One of the most important prerequisites for creating and evaluating 6D o...
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04/04/2019
DeceptionNet: Network-Driven Domain Randomization
We present a novel approach to tackle domain adaptation between syntheti...
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03/15/2019
Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement
In this paper we present a deep-learning based framework for direct came...
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02/28/2019
DPOD: Dense 6D Pose Object Detector in RGB images
In this work we propose a new method for simultaneous object detection a...
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01/04/2019
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
We present a novel and effective method for detecting 3D primitives in c...
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10/09/2018
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition
While convolutional neural networks are dominating the field of computer...
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08/30/2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
We present PPF-FoldNet for unsupervised learning of 3D local descriptors...
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05/31/2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
We introduce Tempered Geodesic Markov Chain Monte Carlo (TG-MCMC) algori...
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05/22/2018
Scene Coordinate and Correspondence Learning for Image-Based Localization
Scene coordinate regression has become an essential part of current came...
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05/22/2018
Scene Coordinate and Correspondence Learning for Imabe-Based Localization
Scene coordinate regression has become an essential part of current came...
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05/16/2018
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation
In this work, we propose a method for object recognition and pose estima...
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04/24/2018
Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only
With the increasing availability of large databases of 3D CAD models, de...
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03/19/2018
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds
This paper proposes a segmentation-free, automatic and efficient procedu...
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02/07/2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
We present PPFNet - Point Pair Feature NETwork for deeply learning a glo...
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11/27/2017
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
We present a novel method for detecting 3D model instances and estimatin...
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05/08/2017
CAD Priors for Accurate and Flexible Instance Reconstruction
We present an efficient and automatic approach for accurate reconstructi...
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08/26/2016