Region-based motion-compensated frame rate up-conversion by homography parameter interpolation. - Engin Türetken; A. Aydin Alatan (ICIP, 2009)

Delineating trees in noisy 2D images and 3D image-stacks. - Germán González; Engin Türetken; François Fleuret; Pascal Fua (CVPR, 2010)

Reconstructing Geometrically Consistent Tree Structures from Noisy Images. - Engin Türetken; Christian Blum 001; Germán González; Pascal Fua (MICCAI (1), 2010)

Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors. - Engin Türetken; Germán González; Christian Blum 001; Pascal Fua (Neuroinformatics, 2011)

Multiple Object Tracking Using K-Shortest Paths Optimization. - Jérôme Berclaz; François Fleuret; Engin Türetken; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem. - Sergi Mateo; Christian Blum 001; Pascal Fua; Engin Türetken (ANTS, 2012)

Automated reconstruction of tree structures using path classifiers and Mixed Integer Programming. - Engin Türetken; Fethallah Benmansour; Pascal Fua (CVPR, 2012)

Reconstructing Loopy Curvilinear Structures Using Integer Programming. - Engin Türetken; Fethallah Benmansour; Björn Andres; Hanspeter Pfister; Pascal Fua (CVPR, 2013)

Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs. - Björn Andres; Julian Yarkony; B. S. Manjunath; Steffen Kirchhoff; Engin Türetken; Charless C. Fowlkes; Hanspeter Pfister (EMMCVPR, 2013)

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux. - Engin Türetken; Carlos J. Becker; Przemyslaw Glowacki; Fethallah Benmansour; Pascal Fua (ICCV, 2013)

Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery. - Engin Türetken (2013)

Reconstructing Evolving Tree Structures in Time Lapse Sequences. - Przemyslaw Glowacki; Miguel Amável Pinheiro; Engin Türetken; Raphael Sznitman; Daniel Lebrecht; Jan Kybic; Anthony Holtmaat; Pascal Fua (CVPR, 2014)

Tracking Interacting Objects Optimally Using Integer Programming. - Xinchao Wang; Engin Türetken; François Fleuret; Pascal Fua (ECCV (1), 2014)

On the relevance of sparsity for image classification. - Roberto Rigamonti; Vincent Lepetit; Germán González; Engin Türetken; Fethallah Benmansour; Matthew A. Brown; Pascal Fua (Comput. Vis. Image Underst., 2014)

Detecting and Tracking Cells using Network Flow Programming. - Engin Türetken; Xinchao Wang; Carlos J. Becker; Pascal Fua (CoRR, 2015)

Simultaneous segmentation and anatomical labeling of the cerebral vasculature. - David Robben; Engin Türetken; Stefan Sunaert; Vincent Thijs; Guy Willems; Pascal Fua; Frederik Maes; Paul Suetens (Medical Image Anal., 2016)

Multiscale Centerline Detection. - Amos Sironi; Engin Türetken; Vincent Lepetit; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Reconstructing Curvilinear Networks Using Path Classifiers and Integer Programming. - Engin Türetken; Fethallah Benmansour; Björn Andres; Przemyslaw Glowacki; Hanspeter Pfister; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Tracking Interacting Objects Using Intertwined Flows. - Xinchao Wang; Engin Türetken; François Fleuret; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences. - Engin Türetken; Xinchao Wang; Carlos J. Becker; Carsten Haubold; Pascal Fua (IEEE Trans. Medical Imaging, 2017)

Multi-modal driver drowsiness detection: A feasibility study. - Alia Lemkaddem; Ricard Delgado-Gonzalo; Engin Türetken; Stephan Dasen; Virginie Moser; C. Gressum; Josep Solà; Damien Ferrario; Christophe Verjus (BHI, 2018)

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. - Przemyslaw Glowacki; Miguel Amável Pinheiro; Agata Mosinska; Engin Türetken; Daniel Lebrecht; Raphael Sznitman; Anthony Holtmaat; Jan Kybic; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Embedded Deep Learning for Sleep Staging. - Engin Türetken; Jérôme Van Zaen; Ricard Delgado-Gonzalo (SDS, 2019)

Efficient Neural Vision Systems Based on Convolutional Image Acquisition. - Pedram Pad; Simon Narduzzi; Clément Kündig; Engin Türetken; Siavash Arjomand Bigdeli; L. Andrea Dunbar (CVPR, 2020)

Efficient Blind-Spot Neural Network Architecture for Image Denoising. - David Honzátko; Siavash Arjomand Bigdeli; Engin Türetken; L. Andrea Dunbar (SDS, 2020)

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. - David Honzátko; Engin Türetken; Pascal Fua; L. Andrea Dunbar (3DV, 2021)

A Sub-mW Dual-Engine ML Inference System-on-Chip for Complete End-to-End Face-Analysis at the Edge. - Petar Jokic; Erfan Azarkhish; Régis Cattenoz; Engin Türetken; Luca Benini; Stéphane Emery (VLSI Circuits, 2021)

Defect segmentation for multi-illumination quality control systems. - David Honzátko; Engin Türetken; Siavash Arjomand Bigdeli; L. Andrea Dunbar; Pascal Fua (Mach. Vis. Appl., 2021)

Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. - Simon Narduzzi; Engin Türetken; Jean-Philippe Thiran; L. Andrea Dunbar (SDS, 2022)

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices. - Marco Giordano; Silvano Cortesi; Michele Crabolu; Lavinia Pedrollo; Giovanni Bellusci; Tommaso Bendinelli; Engin Türetken; L. Andrea Dunbar; Michele Magno (WF-IoT, 2023)

Unified People Tracking with Graph Neural Networks. - Martin Engilberge; Ivan Vrkic; Friedrich Wilke Grosche; Julien Pilet; Engin Türetken; Pascal Fua (CoRR, 2025)