Vincent Lepetit

Univ.-Prof. Dr.

20142020
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Research Output 2014 2019

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Conference contribution
2019

Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning

Stekovic, S., Fraundorfer, F. & Lepetit, V., 2019, arXiv preprint arXiv:1904.12534.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Supervised learning
Computer vision
Casting
Semantics
Color

CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining

Pitteri, G., Ilic, S. & Lepetit, V., 2019, Proceedings of the IEEE International Conference on Computer Vision Workshops.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Computer aided design
Geometry
Color

Generalized Feedback Loop for Joint Hand-Object Pose Estimation

Oberweger, M., Wohlhart, P. & Lepetit, V., 2019, IEEE transactions on pattern analysis and machine intelligence.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Feedback
Neural networks
Graphics processing unit

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild

Grabner, A., Roth, P. M. & Lepetit, V., 2019, Proceedings of the IEEE International Conference on Computer Vision. p. 2222-2231

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Deep learning

Handseg: An automatically labeled dataset for hand segmentation from depth images

Bojja, A. K., Mueller, F., Malireddi, S. R., Oberweger, M., Lepetit, V., Theobalt, C., Yi, K. M. & Tagliasacchi, A., 2019, 2019 16th Conference on Computer and Robot Vision (CRV). p. 151-158

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sensors
Costs

Location Field Descriptors: Single Image 3D Model Retrieval in the Wild

Grabner, A., Roth, P. M. & Lepetit, V., 2019, 2019 International Conference on 3D Vision (3DV). p. 583-593

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

pixel
prediction
method

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

Biasutti, P., Lepetit, V., Aujol, J-F., Brédif, M. & Bugeau, A., 2019, Proceedings of the IEEE International Conference on Computer Vision Workshops.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Semantics
Sensors
Image processing
Topology
Experiments

On Object Symmetries and 6D Pose Estimation from Images

Pitteri, G., Ramamonjisoa, M., Ilic, S. & Lepetit, V., 2019, 2019 International Conference on 3D Vision (3DV). p. 614-622

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Learning algorithms
Learning systems

Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization

Germain, H., Bourmaud, G. & Lepetit, V., 2019, 2019 International Conference on 3D Vision (3DV). p. 513-523

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras

Speed invariant time surface for learning to detect corner points with event-based cameras

Lepetit, V., Manderscheid, J., Sironi, A., Bourdis, N. & Migliore, D., 2019, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. p. 10245-10254

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras
Program processors
Experiments
2018

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

Grabner, A., Roth, P. M. & Lepetit, V., 2018, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Geometry

Efficient 3D Pose Estimation and 3D Model Retrieval

Grabner, A., Roth, P. M. & Lepetit, V., 2018, Proceedings of the 42nd OAGM Workshop. Welk, M., Urschler, M. & Roth, P. M. (eds.). Verlag der Technischen Universität Graz, 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Efficient Physics-Based Implementation for Realistic Hand-Object Interaction in Virtual Reality

Höll, M., Oberweger, M., Arth, C. & Lepetit, V., 2018, IEEE Conference on Virtual Reality and 3D User Interfaces.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images

Rad, M., Oberweger, M. & Lepetit, V., 2018, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2017

3D Localization in Urban Environments from Single Images

Armagan, A., Hirzer, M., Roth, P. M. & Lepetit, V., 2017, Proceedings of the OAGM/AAPR & ARW Joint Workshop (OAGM/AAPR & ARW).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Information use
Image segmentation
Accelerometers
Learning systems
Global positioning system

Accurate Camera Registration in Urban Environments Using High-Level Feature Matching

Armagan, A., Hirzer, M., Roth, P. M. & Lepetit, V., 2017, Proceedings of the British Machine Vision Conference (BMVC).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras
Bridge approaches
Semantics

ALCN: Adaptive Local Contrast Normalization for Robust Object Detection and 3D Pose Estimation

Rad, M., Roth, P. M. & Lepetit, V., 2017, British Machine Vision Conference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Lighting
Neural networks
Object detection

BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

Rad, M. & Lepetit, V., 31 Mar 2017, International Conference on Computer Vision. 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Color
Neural networks
Classifiers
Object detection

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

Oberweger, M. & Lepetit, V., 2017, International Conference on Computer Vision Workshops.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

File

Efficient 3D Tracking in Urban Environments with Semantic Segmentation

Hirzer, M., Arth, C., Roth, P. M. & Lepetit, V., 2017, Proceedings of the British Machine Vision Conference (BMVC).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Semantics

Feedback Loop and Accurate Training Data for 3D Hand Pose Estimation

Oberweger, M., Wohlhart, P., Riegler, G. & Lepetit, V., 2017, OAGM&ARW Joint Workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization

Armagan, A., Hirzer, M., Roth, P. M. & Lepetit, V., 2017, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Semantics
Global positioning system

Semantic Segmentation for 3D Localization in Urban Environments

Armagan, A., Hirzer, M. & Lepetit, V., 2017, Proceedings of the Joint Urban Remote Sensing Event (JURSE).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Semantics
Image segmentation
Learning systems
Rendering (computer graphics)
2016

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation

Oberweger, M., Riegler, G., Wohlhart, P. & Lepetit, V., 2016, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
2015

An Efficient Minimal Solution for Multi-Camera Motion

Lepetit, V., Arth, C. & Ventura, J. D., 2015, International Conference on Computer Vision. ., p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

Lepetit, V. & Rad, M., 2015, International Conference on Computer Vision. ., p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Flying Objects Detection from a Single Moving Camera

Lepetit, V., 2015, Conference on Computer Vision and Pattern Recognition. ., p. 1-10

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Hands Deep in Deep Learning for Hand Pose Estimation

Oberweger, M., Wohlhart, P. & Lepetit, V., 2015, Computer Vision Winter Workshop. ., p. 1-10

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Hashmod: A Hashing Method for Scalable 3D Object Detection

Lepetit, V., 2015, British Machine Vision Conference. ., p. 1-12

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Instant Outdoor Localization and SLAM Initialization from 2.5D Maps

Arth, C., Pirchheim, C., Ventura, J., Schmalstieg, D. & Lepetit, V., 2015, (Accepted/In press) International Symposium on Mixed and Augmented Reality. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Leaf Segmentation under Loosely Controlled Conditions

Lepetit, V., 2015, British Machine Vision Conference. ., p. 1-12

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Learning Descriptors for Object Recognition and 3D Pose Estimation

Lepetit, V., 2015, Conference on Computer Vision and Pattern Recognition. ., p. 1-10

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Projection onto the Manifold of Elongated Structures for Accurate Extraction

Lepetit, V., 2015, International Conference on Computer Vision. ., p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

TILDE: A Temporally Invariant Learned DEtector

Lepetit, V., 2015, Conference on Computer Vision and Pattern Recognition. ., p. 1-10

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Training a Feedback Loop for Hand Pose Estimation

Oberweger, M., Wohlhart, P. & Lepetit, V., 2015, International Conference on Computer Vision. ., p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

You Should Use Regression to Detect Cells

Lepetit, V., 2015, International Conference on Medical Image Computing and Computer Assisted Intervention. ., p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
2014

Approximated relative pose solvers for efficient camera motion estimation.

Ventura, J., Arth, C. & Lepetit, V., 2014, Proc. of the ECCV 2014. ., p. 1-1

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

Sironi, A., Lepetit, V. & Fua, P., 2014, (Accepted/In press) Conference on Computer Vision and Pattern Recognition. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Robust 3D Tracking with Descriptor Fields

Crivelaro, A. & Lepetit, V., 2014, (Accepted/In press) Conference on Computer Vision and Pattern Recognition. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review