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09/06/2023
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline
We propose a new approach to 3D reconstruction from sequences of images ...
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08/21/2023
LightDepth: Single-View Depth Self-Supervision from Illumination Decline
Single-view depth estimation can be remarkably effective if there is eno...
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07/16/2023
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling
Objects interact with each other in various ways, including containment,...
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05/23/2023
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
Many approaches to draping individual garments on human body models are ...
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05/03/2023
Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning
We propose two deep learning models that fully automate shape parameteri...
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03/10/2023
GECCO: Geometrically-Conditioned Point Diffusion Models
Diffusion models generating images conditionally on text, such as Dall-E...
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12/29/2022
AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers
Vision transformers have emerged as powerful tools for many computer vis...
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11/23/2022
Unsupervised 3D Keypoint Estimation with Multi-View Geometry
Given enough annotated training data, 3D human pose estimation models ca...
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11/21/2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
Multi-task learning is central to many real-world applications. Unfortun...
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11/21/2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Whereas the ability of deep networks to produce useful predictions on ma...
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11/21/2022
DrapeNet: Generating Garments and Draping them with Self-Supervision
Recent approaches to drape garments quickly over arbitrary human bodies ...
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10/27/2022
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
3D reconstruction of deformable (or non-rigid) scenes from a set of mono...
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10/19/2022
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Multi-view approaches to people-tracking have the potential to better ha...
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10/19/2022
Two-level Data Augmentation for Calibrated Multi-view Detection
Data augmentation has proven its usefulness to improve model generalizat...
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10/04/2022
Perspective Aware Road Obstacle Detection
While road obstacle detection techniques have become increasingly effect...
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09/22/2022
Learning to Simulate Realistic LiDARs
Simulating realistic sensors is a challenging part in data generation fo...
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09/22/2022
DIG: Draping Implicit Garment over the Human Body
Existing data-driven methods for draping garments over human bodies, des...
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08/05/2022
3D Pose Based Feedback for Physical Exercises
Unsupervised self-rehabilitation exercises and physical training can cau...
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07/14/2022
Enforcing connectivity of 3D linear structures using their 2D projections
Many biological and medical tasks require the delineation of 3D curvilin...
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06/30/2022
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
The human annotations are imperfect, especially when produced by junior ...
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06/21/2022
Deep Active Latent Surfaces for Medical Geometries
Shape priors have long been known to be effective when reconstructing 3D...
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03/29/2022
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation
Supervised approaches to 3D pose estimation from single images are remar...
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03/18/2022
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
Most recent 6D object pose estimation methods, including unsupervised on...
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12/08/2021
Adversarial Parametric Pose Prior
The Skinned Multi-Person Linear (SMPL) model can represent a human body ...
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12/06/2021
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
Deep learning-based approaches to delineating 3D structure depend on acc...
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12/02/2021
Overcoming the Domain Gap in Neural Action Representations
Relating animal behaviors to brain activity is a fundamental goal in neu...
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12/01/2021
Dyadic Human Motion Prediction
Prior work on human motion forecasting has mostly focused on predicting ...
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11/29/2021
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations
A fundamental goal in neuroscience is to understand the relationship bet...
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11/29/2021
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks
Recent work modelling 3D open surfaces train deep neural networks to app...
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11/17/2021
Learning to Align Sequential Actions in the Wild
State-of-the-art methods for self-supervised sequential action alignment...
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11/12/2021
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
We propose a method for unsupervised reconstruction of a temporally-cons...
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10/14/2021
3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks
Curvilinear structures frequently appear in microscopy imaging as the ob...
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10/12/2021
Localized Persistent Homologies for more Effective Deep Learning
Persistent Homologies have been successfully used to increase the perfor...
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09/28/2021
DEBOSH: Deep Bayesian Shape Optimization
Shape optimization is at the heart of many industrial applications, such...
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09/22/2021
HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation
CAD modeling typically involves the use of simple geometric primitives w...
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06/20/2021
DeepMesh: Differentiable Iso-Surface Extraction
Geometric Deep Learning has recently made striking progress with the adv...
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06/07/2021
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
There are many approaches that use weak-supervision to train networks to...
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04/30/2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
State-of-the-art semantic or instance segmentation deep neural networks ...
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04/22/2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
We introduce a novel approach to unsupervised and semi-supervised domain...
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04/14/2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
We propose a method for the unsupervised reconstruction of a temporally-...
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04/08/2021
Robust Differentiable SVD
Eigendecomposition of symmetric matrices is at the heart of many compute...
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04/01/2021
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
Reconstructing 3D shape from 2D sketches has long been an open problem b...
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04/01/2021
Wide-Depth-Range 6D Object Pose Estimation in Space
6D pose estimation in space poses unique challenges that are not commonl...
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03/30/2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
State-of-the-art methods for counting people in crowded scenes rely on d...
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03/22/2021
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
The problem of estimating a surface shape from its observed reflectance ...
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12/25/2020
Detecting Road Obstacles by Erasing Them
Vehicles can encounter a myriad of obstacles on the road, and it is not ...
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12/21/2020
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction
Deep learning-solutions for hand-object 3D pose and shape estimation are...
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12/15/2020
Masksembles for Uncertainty Estimation
Deep neural networks have amply demonstrated their prowess but estimatin...
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12/09/2020
Self-supervised Human Detection and Segmentation via Multi-view Consensus
Self-supervised detection and segmentation of foreground objects in comp...
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12/08/2020