A. Cengiz Öztireli

发表

A Comprehensive Theory and Variational Framework for Anti‐aliasing Sampling Patterns

A. Cengiz Öztireli, A. Cengiz Öztireli, 2019, Comput. Graph. Forum.

3D modeling with a symmetric sketch

Markus H. Gross, Alla Sheffer, Tiberiu Popa, 2011, SBIM '11.

General Point Sampling with Adaptive Density and Correlations

Markus H. Gross, A. Cengiz Öztireli, Riccardo Roveri, 2017, Comput. Graph. Forum.

Interactive Generation of Realistic Facial Wrinkles from Sketchy Drawings

Soo-Mi Choi, Markus H. Gross, A. Cengiz Öztireli, 2015, Comput. Graph. Forum.

Differential blending for expressive sketch-based posing

Markus H. Gross, Tiberiu Popa, Robert W. Sumner, 2013, SCA '13.

Detection of Pictorial Map Objects with Convolutional Neural Networks

Lorenz Hurni, A. Cengiz Öztireli, Raimund Schnürer, 2020 .

PointProNets: Consolidation of Point Clouds with Convolutional Neural Networks

Markus H. Gross, A. Cengiz Öztireli, Riccardo Roveri, 2018, Comput. Graph. Forum.

Sampling analysis using correlations for monte carlo rendering

Gurprit Singh, A. Cengiz Öztireli, C. Öztireli, 2018, SIGGRAPH Asia 2018 Courses.

DeepGarment : 3D Garment Shape Estimation from a Single Image

Markus H. Gross, Remo Ziegler, Endri Dibra, 2017, Comput. Graph. Forum.

Example Based Repetitive Structure Synthesis

Markus H. Gross, Barbara Solenthaler, A. Cengiz Öztireli, 2015, SGP '15.

Semantic Segmentation for Line Drawing Vectorization Using Neural Networks

Markus H. Gross, Byungsoo Kim, Oliver Wang, 2018, Comput. Graph. Forum.

How to Refine 3D Hand Pose Estimation from Unlabelled Depth Data?

Thomas Wolf, Markus H. Gross, Endri Dibra, 2017, 2017 International Conference on 3D Vision (3DV).

Feature Preserving Point Set Surfaces based on Non‐Linear Kernel Regression

Markus H. Gross, Gaël Guennebaud, A. Cengiz Öztireli, 2009, Comput. Graph. Forum.

Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks

Markus H. Gross, Remo Ziegler, Endri Dibra, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests

Markus H. Gross, Remo Ziegler, Endri Dibra, 2016, ECCV.

HS-Nets: Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks

Markus H. Gross, Remo Ziegler, Endri Dibra, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

Spectral sampling of manifolds

Marc Alexa, Markus H. Gross, A. Cengiz Öztireli, 2010, ACM Trans. Graph..

Extraction and Transfer of Facial Expression Wrinkles for Facial Performance Enhancement

Soo-Mi Choi, Thabo Beeler, Markus Gross, 2014, PG.

Perceptually based downscaling of images

Markus H. Gross, A. Cengiz Öztireli, M. Gross, 2015, ACM Trans. Graph..

Spatio‐temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces

Markus H. Gross, Tobias Martin, Jean Charles Bazin, 2014, Comput. Graph. Forum.

Adaptive surface splatting for facial rendering

Soo-Mi Choi, Markus H. Gross, A. Cengiz Öztireli, 2012, Comput. Animat. Virtual Worlds.

Integration with Stochastic Point Processes

A. Cengiz Öztireli, 2016, ACM Trans. Graph..

Geometry representations with unsupervised feature learning

Yeo-Jin Yoon, Soo-Mi Choi, Markus H. Gross, 2016, 2016 International Conference on Big Data and Smart Computing (BigComp).

Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations pdf

Olga Sorkine-Hornung, Yifan Wang, A. Cengiz Öztireli, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds

Cagatay Basdogan, A. Cengiz Öztireli, C. Basdogan, 2008, The Visual Computer.

Analysis and synthesis of point distributions based on pair correlation

Markus Gross, A. Cengiz Öztireli, A. C. Öztireli, 2012, ACM Trans. Graph..

Making Sense of Geometric Data

A. Cengiz Öztireli, A. C. Öztireli, 2015, IEEE Computer Graphics and Applications.

A unified view of gradient-based attribution methods for Deep Neural Networks pdf

Markus H. Gross, A. Cengiz Öztireli, Enea Ceolini, 2017, NIPS 2017.

A machine learning framework for full-reference 3D shape quality assessment

Tolga K. Çapin, A. Cengiz Öztireli, Zeynep Cipiloglu, 2018, The Visual Computer.

Image Based Classification Label PredictionsPoint Cloud View Prediction ResNet 50 ResNet 50 View Pool Depth Image Generation

Markus Gross, A. Cengiz Öztireli, Riccardo Roveri, 2018 .

Spectral sampling of manifolds

Marc Alexa, Markus Gross, A. Cengiz Öztireli, 2010, SIGGRAPH 2010.

Spectral sampling of manifolds

Marc Alexa, Markus Gross, A. Cengiz Öztireli, 2010, ACM Trans. Graph..