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ORCIDA. Cengiz Öztireli
Cengiz Öztireli
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2020 – today
- 2024
[j23]Hanxue Liang
, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafal Mantiuk, A. Cengiz Öztireli:
Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views. Comput. Graph. Forum 43(2): i-iii (2024)- [c30]Wenyan Cong, Hanxue Liang, Zhiwen Fan, Peihao Wang, Yifan Jiang, Dejia Xu, A. Cengiz Öztireli, Zhangyang Wang:
NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. CVPR Workshops 2024: 2872-2882 - [c29]Weihao Xia, Raoul de Charette, A. Cengiz Öztireli, Jing-Hao Xue:
UMBRAE: Unified Multimodal Brain Decoding. ECCV (7) 2024: 242-259 - [c28]Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh:
Blue noise for diffusion models. SIGGRAPH (Conference Paper Track) 2024: 28 - [c27]Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue:
DREAM: Visual Decoding from REversing HumAn Visual SysteM. WACV 2024: 8211-8220 - [i32]Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup:
Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization. CoRR abs/2402.01401 (2024) - [i31]Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh:
Blue noise for diffusion models. CoRR abs/2402.04930 (2024) - [i30]Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue:
UMBRAE: Unified Multimodal Decoding of Brain Signals. CoRR abs/2404.07202 (2024) - [i29]Madeleine Darbyshire, Shaun Coutts, Eleanor Hammond, Fazilet Gokbudak, Cengiz Öztireli, Petra Bosilj, Junfeng Gao, Elizabeth Sklar, Simon Parsons:
Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops. CoRR abs/2405.02218 (2024) - [i28]Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Öztireli:
Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping. CoRR abs/2405.12069 (2024) - [i27]Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt:
Evolutive Rendering Models. CoRR abs/2405.17531 (2024) - [i26]Jing Yang, Kyle Fogarty, Fangcheng Zhong, A. Cengiz Öztireli:
SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs. CoRR abs/2406.06432 (2024) - 2023
- [j22]Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai:
Differentiable visual computing for inverse problems and machine learning. Nat. Mac. Intell. 5(11): 1189-1199 (2023) - [c26]Fazilet Gokbudak, A. Cengiz Öztireli:
One-shot Detail Retouching with Patch Space Neural Transformation Blending. CVMP 2023: 2:1-2:10 - [c25]Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, Yujiu Yang:
3D GAN Inversion with Facial Symmetry Prior. CVPR 2023: 342-351 - [c24]Cristina Nader Vasconcelos, A. Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi:
CUF: Continuous Upsampling Filters. CVPR 2023: 9999-10008 - [c23]Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak:
Statistical shape representations for temporal registration of plant components in 3D. ICRA 2023: 9587-9593 - [c22]Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli:
Neural Fields with Hard Constraints of Arbitrary Differential Order. NeurIPS 2023 - [c21]Chenliang Zhou, Fangcheng Zhong, Cengiz Öztireli:
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable and Controllable Text-Guided Face Manipulation. SIGGRAPH (Conference Paper Track) 2023: 57:1-57:9 - [i25]Tianhao Wu, Hanxue Liang, Fangcheng Zhong, Gernot Riegler, Shimon Vainer, A. Cengiz Öztireli:
αSurf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity. CoRR abs/2303.10083 (2023) - [i24]Hanxue Liang, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafal Mantiuk, A. Cengiz Öztireli:
Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views. CoRR abs/2303.15206 (2023) - [i23]Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli:
Neural Fields with Hard Constraints of Arbitrary Differential Order. CoRR abs/2306.08943 (2023) - [i22]Wenzhao Li, Tianhao Wu, Fangcheng Zhong, A. Cengiz Öztireli:
ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization. CoRR abs/2308.12452 (2023) - [i21]Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue:
DREAM: Visual Decoding from Reversing Human Visual System. CoRR abs/2310.02265 (2023) - [i20]Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Öztireli:
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation. CoRR abs/2311.12090 (2023) - [i19]Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou, Fangcheng Zhong, Rafal Mantiuk, Cengiz Öztireli:
Hypernetworks for Generalizable BRDF Estimation. CoRR abs/2311.15783 (2023) - [i18]Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai:
Differentiable Visual Computing for Inverse Problems and Machine Learning. CoRR abs/2312.04574 (2023) - 2022
- [j21]Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller:
Path Guiding Using Spatio-Directional Mixture Models. Comput. Graph. Forum 41(1): 172-189 (2022) - [c20]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c19]Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Öztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes:
Controllable Shadow Generation Using Pixel Height Maps. ECCV (23) 2022: 240-256 - [c18]Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli:
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. NeurIPS 2022 - [i17]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i16]Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli:
D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. CoRR abs/2205.15838 (2022) - [i15]Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Öztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes:
Controllable Shadow Generation Using Pixel Height Maps. CoRR abs/2207.05385 (2022) - [i14]Raimund Schnürer, A. Cengiz Öztireli, Magnus Heitzler, René Sieber, Lorenz Hurni:
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps. CoRR abs/2209.02385 (2022) - [i13]Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak:
Statistical shape representations for temporal registration of plant components in 3D. CoRR abs/2209.11526 (2022) - [i12]Fazilet Gokbudak, Cengiz Öztireli:
One-shot Detail Retouching with Patch Space Neural Field based Transformation Blending. CoRR abs/2210.01217 (2022) - [i11]Chenliang Zhou, Fangcheng Zhong, A. Cengiz Öztireli:
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Image Manipulation. CoRR abs/2210.03919 (2022) - [i10]Cristina Nader Vasconcelos, Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi:
CUF: Continuous Upsampling Filters. CoRR abs/2210.06965 (2022) - [i9]Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, Yujiu Yang:
3D GAN Inversion with Facial Symmetry Prior. CoRR abs/2211.16927 (2022) - 2021
- [c17]Yifan Wang, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung:
Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations. CVPR 2021: 374-383 - [c16]Zhilin Cai, Yang Zhang, Marco Manzi, A. Cengiz Öztireli, Markus Gross, Tunç Ozan Aydin:
Robust Image Denoising using Kernel Predicting Networks. Eurographics (Short Papers) 2021: 37-40 - [c15]Cengiz Öztireli, Christian Häne, Forrester Cole, Konstantinos Rematas, Sofien Bouaziz:
TensorFlow graphics: differentiable computer graphics in tensorflow. SIGGRAPH Courses 2021: 17:1-17:272 - [i8]Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller:
Path Guiding Using Spatio-Directional Mixture Models. CoRR abs/2111.13094 (2021) - 2020
- [j20]A. Cengiz Öztireli:
A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns. Comput. Graph. Forum 39(4): 133-148 (2020) - [j19]Zeynep Cipiloglu Yildiz, A. Cengiz Öztireli, Tolga K. Çapin:
A machine learning framework for full-reference 3D shape quality assessment. Vis. Comput. 36(1): 127-139 (2020) - [i7]Marco Ancona, Cengiz Öztireli, Markus Gross:
Shapley Value as Principled Metric for Structured Network Pruning. CoRR abs/2006.01795 (2020) - [i6]Yifan Wang, Shihao Wu, A. Cengiz Öztireli, Olga Sorkine-Hornung:
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations. CoRR abs/2012.06434 (2020)
2010 – 2019
- 2019
- [j18]Gurprit Singh, Cengiz Öztireli, Abdalla G. M. Ahmed, David Coeurjolly, Kartic Subr, Oliver Deussen, Victor Ostromoukhov, Ravi Ramamoorthi, Wojciech Jarosz:
Analysis of Sample Correlations for Monte Carlo Rendering. Comput. Graph. Forum 38(2): 473-491 (2019) - [j17]Loïc Ciccone, Cengiz Öztireli, Robert W. Sumner:
Tangent-space optimization for interactive animation control. ACM Trans. Graph. 38(4): 101:1-101:10 (2019) - [j16]Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung:
Differentiable surface splatting for point-based geometry processing. ACM Trans. Graph. 38(6): 230:1-230:14 (2019) - [c14]Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi:
Active Mini-Batch Sampling Using Repulsive Point Processes. AAAI 2019: 5741-5748 - [c13]Jingwei Tang, Yagiz Aksoy, Cengiz Öztireli, Markus H. Gross, Tunç Ozan Aydin:
Learning-Based Sampling for Natural Image Matting. CVPR 2019: 3055-3063 - [c12]Marco Ancona, Cengiz Öztireli, Markus H. Gross:
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation. ICML 2019: 272-281 - [p1]Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross:
Gradient-Based Attribution Methods. Explainable AI 2019: 169-191 - [i5]A. Cengiz Öztireli:
A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns. CoRR abs/1902.08228 (2019) - [i4]Marco Ancona, Cengiz Öztireli, Markus H. Gross:
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation. CoRR abs/1903.10992 (2019) - [i3]Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung:
Differentiable Surface Splatting for Point-based Geometry Processing. CoRR abs/1906.04173 (2019) - 2018
- [j15]Riccardo Roveri, A. Cengiz Öztireli, Ioana Pandele, Markus H. Gross:
PointProNets: Consolidation of Point Clouds with Convolutional Neural Networks. Comput. Graph. Forum 37(2): 87-99 (2018) - [j14]Byungsoo Kim, Oliver Wang, A. Cengiz Öztireli, Markus H. Gross:
Semantic Segmentation for Line Drawing Vectorization Using Neural Networks. Comput. Graph. Forum 37(2): 329-338 (2018) - [c11]Endri Dibra, Silvan Melchior, Ali Balkis, Thomas Wolf, Cengiz Öztireli, Markus H. Gross:
Monocular RGB Hand Pose Inference From Unsupervised Refinable Nets. CVPR Workshops 2018: 1075-1085 - [c10]Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli, Markus H. Gross:
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation. CVPR 2018: 4176-4184 - [c9]Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross:
Towards better understanding of gradient-based attribution methods for Deep Neural Networks. ICLR (Poster) 2018 - [i2]Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi:
Active Mini-Batch Sampling using Repulsive Point Processes. CoRR abs/1804.02772 (2018) - 2017
- [j13]Riccardo Roveri, A. Cengiz Öztireli, Markus H. Gross:
General Point Sampling with Adaptive Density and Correlations. Comput. Graph. Forum 36(2): 107-117 (2017) - [j12]R. Danerek, Endri Dibra, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
DeepGarment : 3D Garment Shape Estimation from a Single Image. Comput. Graph. Forum 36(2): 269-280 (2017) - [c8]Endri Dibra, Thomas Wolf, A. Cengiz Öztireli, Markus H. Gross:
How to Refine 3D Hand Pose Estimation from Unlabelled Depth Data? 3DV 2017: 135-144 - [c7]Endri Dibra, Himanshu Jain, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks. CVPR 2017: 5504-5514 - [i1]Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, Markus H. Gross:
A unified view of gradient-based attribution methods for Deep Neural Networks. CoRR abs/1711.06104 (2017) - 2016
- [j11]A. Cengiz Öztireli:
Integration with Stochastic Point Processes. ACM Trans. Graph. 35(5): 160:1-160:16 (2016) - [c6]Endri Dibra, Himanshu Jain, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
HS-Nets: Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks. 3DV 2016: 108-117 - [c5]Yeo-Jin Yoon, Alexander Lelidis, A. Cengiz Öztireli, Jung-Min Hwang, Markus H. Gross, Soo-Mi Choi:
Geometry representations with unsupervised feature learning. BigComp 2016: 137-142 - [c4]Endri Dibra, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests. ECCV (4) 2016: 88-104 - 2015
- [j10]A. Cengiz Öztireli:
Making Sense of Geometric Data. IEEE Computer Graphics and Applications 35(4): 100-106 (2015) - [j9]Hyeon-Joong Kim, A. Cengiz Öztireli, Il-Kyu Shin, Markus H. Gross, Soo-Mi Choi:
Interactive Generation of Realistic Facial Wrinkles from Sketchy Drawings. Comput. Graph. Forum 34(2): 179-191 (2015) - [j8]Riccardo Roveri, A. Cengiz Öztireli, Sebastian Martin, Barbara Solenthaler, Markus H. Gross:
Example Based Repetitive Structure Synthesis. Comput. Graph. Forum 34(5): 39-52 (2015) - [j7]A. Cengiz Öztireli, Markus H. Gross:
Perceptually based downscaling of images. ACM Trans. Graph. 34(4): 77:1-77:10 (2015) - 2014
- [j6]Claudia Kuster, Jean-Charles Bazin, A. Cengiz Öztireli, Teng Deng, Tobias Martin, Tiberiu Popa, Markus H. Gross:
Spatio-temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces. Comput. Graph. Forum 33(2): 1-10 (2014) - [c3]Il-Kyu Shin, A. Cengiz Öztireli, Hyeon-Joong Kim, Thabo Beeler, Markus Gross, Soo-Mi Choi:
Extraction and Transfer of Facial Expression Wrinkles for Facial Performance Enhancement. PG (Short Papers) 2014 - 2013
- [b1]A. Cengiz Öztireli:
Meshless sampling and reconstruction of manifolds and patterns. ETH Zurich, Zürich, Switzerland, 2013 - [c2]A. Cengiz Öztireli, Ilya Baran, Tiberiu Popa, Boris Dalstein, Robert W. Sumner, Markus H. Gross:
Differential blending for expressive sketch-based posing. Symposium on Computer Animation 2013: 155-164 - 2012
- [j5]Hyeon-Joong Kim, A. Cengiz Öztireli, Markus H. Gross, Soo-Mi Choi:
Adaptive surface splatting for facial rendering. Comput. Animat. Virtual Worlds 23(3-4): 363-373 (2012) - [j4]A. Cengiz Öztireli, Markus H. Gross:
Analysis and synthesis of point distributions based on pair correlation. ACM Trans. Graph. 31(6): 170:1-170:10 (2012) - 2011
- [c1]A. Cengiz Öztireli, U. Uyumaz, Tiberiu Popa, Alla Sheffer, Markus H. Gross:
3D Modeling with a Symmetric Sketch. SBIM 2011: 23-30 - 2010
- [j3]A. Cengiz Öztireli, Marc Alexa, Markus H. Gross:
Spectral sampling of manifolds. ACM Trans. Graph. 29(6): 168 (2010)
2000 – 2009
- 2009
- [j2]A. Cengiz Öztireli, Gaël Guennebaud, Markus H. Gross:
Feature Preserving Point Set Surfaces based on Non-Linear Kernel Regression. Comput. Graph. Forum 28(2): 493-501 (2009) - 2008
- [j1]Cagatay Basdogan, A. Cengiz Öztireli:
A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds. Vis. Comput. 24(7-9): 679-688 (2008)
Coauthor Index
Markus Gross 0001
aka: Markus H. Gross
aka: Markus H. Gross
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