Cengiz Öztireli

Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Marco Ancona, Enea Ceolini, Cengiz Öztireli · Repository for Publications and Research Data (ETH Zurich) · 2018 · 385 citations · Full text

Differentiable surface splatting for point-based geometry processing

Yifan Wang, Felice Serena, Shihao Wu et al. · ACM Transactions on Graphics · 2019 · 237 citations · Full text

Realistic Rendering, Engineering, Geometry +16

Kubric: A scalable dataset generator

Klaus Greff, Francois Belletti, Lucas Beyer et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 170 citations

Artificial Intelligence, Cluster Computing, Engineering +24

Learning-Based Sampling for Natural Image Matting

Jingwei Tang, Yağız Aksoy, Cengiz Öztireli et al. · 2019 · 135 citations

Machine Vision, Image Analysis, Machine Learning +14

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

Marco Ancona, Enea Ceolini, Cengiz Öztireli · arXiv (Cornell University) · 2017 · 110 citations · Full text

Artificial Intelligence, Neural Scaling Law, Deep Neural Networks +15