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09/12/2023
SCP: Scene Completion Pre-training for 3D Object Detection
3D object detection using LiDAR point clouds is a fundamental task in th...
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09/10/2023
Geometrically Consistent Partial Shape Matching
Finding correspondences between 3D shapes is a crucial problem in comput...
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08/16/2023
SIGMA: Scale-Invariant Global Sparse Shape Matching
We propose a novel mixed-integer programming (MIP) formulation for gener...
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08/16/2023
Robust Autonomous Vehicle Pursuit without Expert Steering Labels
In this work, we present a learning method for lateral and longitudinal ...
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08/02/2023
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels
Deep learning models for self-driving cars require a diverse training da...
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07/31/2023
Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller
In this work, we propose a learning based neural model that provides bot...
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07/27/2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
The goal of Online Domain Adaptation for semantic segmentation is to han...
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07/15/2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
In this work, we propose a novel prior learning method for advancing gen...
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06/03/2023
Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling
Neural surface implicit representations offer numerous advantages, inclu...
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05/16/2023
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes
A promise of Generative Adversarial Networks (GANs) is to provide cheap ...
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05/16/2023
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
We propose a differentiable nonlinear least squares framework to account...
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05/15/2023
Non-Separable Multi-Dimensional Network Flows for Visual Computing
Flows in networks (or graphs) play a significant role in numerous comput...
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05/10/2023
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Reconstructing semantic 3D building models at the level of detail (LoD) ...
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01/26/2023
Semidefinite Relaxations for Robust Multiview Triangulation
We propose the first convex relaxation for multiview triangulation that ...
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01/18/2023
Behind the Scenes: Density Fields for Single View Reconstruction
Inferring a meaningful geometric scene representation from a single imag...
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01/06/2023
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Traditional approaches to prediction of future trajectory of road agents...
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12/20/2022
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
Event cameras offer the capacity to asynchronously capture brightness ch...
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12/09/2022
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering
We propose an end-to-end inverse rendering pipeline called SupeRVol that...
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12/06/2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models
We introduce PRISM, a method for real-time filtering in a probabilistic ...
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12/06/2022
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
We present G-MSM (Graph-based Multi-Shape Matching), a novel unsupervise...
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10/27/2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
Current graph neural networks (GNNs) that tackle node classification on ...
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10/21/2022
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
Fine-detailed reconstructions are in high demand in many applications. H...
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10/12/2022
Deep Combinatorial Aggregation
Neural networks are known to produce poor uncertainty estimations, and a...
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10/12/2022
What Makes Graph Neural Networks Miscalibrated?
Given the importance of getting calibrated predictions and reliable unce...
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09/29/2022
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment
Direct methods have shown excellent performance in the applications of v...
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08/24/2022
E-NeRF: Neural Radiance Fields from a Moving Event Camera
Estimating neural radiance fields (NeRFs) from ideal images has been ext...
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08/10/2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Despite years of research, out-of-domain generalization remains a critic...
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06/20/2022
Efficient and Flexible Sublabel-Accurate Energy Minimization
We address the problem of minimizing a class of energy functions consist...
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06/13/2022
Biologically Inspired Neural Path Finding
The human brain can be considered to be a graphical structure comprising...
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05/30/2022
CHALLENGER: Training with Attribution Maps
We show that utilizing attribution maps for training neural networks can...
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05/23/2022
VPAIR – Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments
Visual Place Recognition and Visual Localization are essential component...
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05/13/2022
A Unified Framework for Implicit Sinkhorn Differentiation
The Sinkhorn operator has recently experienced a surge of popularity in ...
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04/29/2022
Neural Implicit Representations for Physical Parameter Inference from a Single Video
Neural networks have recently been used to analyze diverse physical syst...
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04/27/2022
Power Bundle Adjustment for Large-Scale 3D Reconstruction
We present the design and the implementation of a new expansion type alg...
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04/27/2022
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
We present a scalable combinatorial algorithm for globally optimizing ov...
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04/21/2022
Implicit Shape Completion via Adversarial Shape Priors
We present a novel neural implicit shape method for partial point cloud ...
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04/05/2022
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions
The estimation of the relative pose of two camera views is a fundamental...
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03/30/2022
HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering
Implicit neural representations of 3D shapes form strong priors that are...
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03/23/2022
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Earth observation is a fundamental tool for monitoring the evolution of ...
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03/20/2022
Lateral Ego-Vehicle Control without Supervision using Point Clouds
Existing vision based supervised approaches to lateral vehicle control a...
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03/15/2022
Intrinsic Neural Fields: Learning Functions on Manifolds
Neural fields have gained significant attention in the computer vision c...
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03/02/2022
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications
In this paper, we present a complete pipeline for 3D semantic mapping so...
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01/11/2022
DM-VIO: Delayed Marginalization Visual-Inertial Odometry
We present DM-VIO, a monocular visual-inertial odometry system based on ...
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12/08/2021
Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis
Finding shortest paths in a graph is relevant for numerous problems in c...
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11/26/2021
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction
We present Gradient-SDF, a novel representation for 3D geometry that com...
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11/14/2021
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
In this paper, we present TANDEM a real-time monocular tracking and dens...
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10/08/2021
Multidirectional Conjugate Gradients for Scalable Bundle Adjustment
We revisit the problem of large-scale bundle adjustment and propose a te...
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09/30/2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
We address the non-convex optimisation problem of finding a sparse matri...
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09/23/2021
Scene Graph Generation for Better Image Captioning?
We investigate the incorporation of visual relationships into the task o...
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09/12/2021
