Christian Häne

Shubham Tulsiani

Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2020

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching.

[BibT_eX]

[DOI]

CoRR, 2020

RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Du<sup>2</sup>Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Implicit Volume Compression.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

Differentiable graphics with TensorFlow 2.0.

[BibT_eX]

[DOI]

Alexander Mordvintsev

Julien Valentin

Martin Wicke

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Learning Independent Object Motion From Unlabelled Stereoscopic Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

PatchFCN for Intracranial Hemorrhage Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Dense Semantic 3D Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection.

[BibT_eX]

[DOI]

Lionel Heng

Gim Hee Lee

Friedrich Fraundorfer

Paul Furgale

Torsten Sattler

Image Vis. Comput., 2017

Large-scale outdoor 3D reconstruction on a mobile device.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

[BibT_eX]

[DOI]

CoRR, 2017

Learning a Multi-View Stereo Machine.

[BibT_eX]

[DOI]

Abhishek Kar

Jitendra Malik

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Hierarchical Surface Prediction for 3D Object Reconstruction.

[BibT_eX]

[DOI]

Shubham Tulsiani

Jitendra Malik

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Semantic 3D Modeling from Images with Geometric Priors.

[BibT_eX]

[DOI]

PhD thesis, 2016

Automated valet parking and charging for e-mobility.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

An overview of recent progress in volumetric semantic 3D reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Semantische 3D Modellierung aus Bildern mit geometrischem Vorwissen.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2016, 2016

Semantic 3D Reconstruction of Heads.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on 3D Vision, 2016

Multi-Label Semantic 3D Reconstruction Using Voxel Blocks.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Learning the Matching Function.

[BibT_eX]

[DOI]

Lubor Ladicky

CoRR, 2015

Obstacle detection for self-driving cars using only monocular cameras and wheel odometry.

[BibT_eX]

[DOI]

Torsten Sattler

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Discrete optimization of ray potentials for semantic 3D reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Segment based 3D object shape priors.

[BibT_eX]

[DOI]

Rabeeh Karimi Mahabadi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Direction matters: Depth estimation with a surface normal classifier.

[BibT_eX]

[DOI]

Lubor Ladicky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D Modeling on the Go: Interactive 3D Reconstruction of Large-Scale Scenes on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on 3D Vision, 2015

2014

What Is Optimized in Convex Relaxations for Multilabel Problems: Connecting Discrete and Continuously Inspired MAP Inference.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Multi-body Depth-Map Fusion with Non-intersection Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Class Specific 3D Object Shape Priors Using Surface Normals.

[BibT_eX]

[DOI]

Nikolay Savinov

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Real-Time Direct Dense Matching on Fisheye Images Using Plane-Sweeping Stereo.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise Linear Priors.

[BibT_eX]

[DOI]

CoRR, 2013

Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Real-World Normal Map Capture for Nearly Flat Reflective Surfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Joint 3D Scene Reconstruction and Class Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

What is optimized in tight convex relaxations for multi-label problems?

[BibT_eX]

[DOI]