Interactive 2D-3D image conversion for mobile devices. - Yagiz Aksoy; Ozan Sener; A. Aydin Alatan; Kemal Ugur (ICIP, 2012)

Error-tolerant interactive image segmentation using dynamic and iterated graph-cuts. - Ozan Sener; Kemal Ugur; A. Aydin Alatan (IMMPD@ACM Multimedia, 2012)

Robust interactive segmentation via coloring. - Ozan Sener; Kemal Ugur; A. Aydin Alatan (VIGTA@AVI, 2012)

RoboBrain: Large-Scale Knowledge Engine for Robots. - Ashutosh Saxena; Ashesh Jain; Ozan Sener; Aditya Jami; Dipendra Kumar Misra; Hema Swetha Koppula (CoRR, 2014)

Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters. - Ozan Sener; Kemal Ugur; A. Aydin Alatan (IEEE Trans. Multim., 2014)

Unsupervised Semantic Parsing of Video Collections. - Ozan Sener; Amir R. Zamir; Silvio Savarese; Ashutosh Saxena (ICCV, 2015)

rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos. - Ozan Sener; Ashutosh Saxena (Robotics: Science and Systems, 2015)

3D Semantic Parsing of Large-Scale Indoor Spaces. - Iro Armeni; Ozan Sener; Amir R. Zamir; Helen Jiang; Ioannis K. Brilakis; Martin Fischer 010; Silvio Savarese (CVPR, 2016)

Learning Transferrable Representations for Unsupervised Domain Adaptation. - Ozan Sener; Hyun Oh Song; Ashutosh Saxena; Silvio Savarese (NIPS, 2016)

Unsupervised Transductive Domain Adaptation. - Ozan Sener; Hyun Oh Song; Ashutosh Saxena; Silvio Savarese (CoRR, 2016)

Unsupervised Semantic Action Discovery from Video Collections. - Ozan Sener; Amir Roshan Zamir; Chenxia Wu; Silvio Savarese; Ashutosh Saxena (CoRR, 2016)

Scene Semantic Reconstruction from Egocentric RGB-D-Thermal Videos. - Rachel Luo; Ozan Sener; Silvio Savarese (3DV, 2017)

image2mass: Estimating the Mass of an Object from Its Image. - Trevor Standley; Ozan Sener; Dawn Chen; Silvio Savarese (CoRL, 2017)

A Geometric Approach to Active Learning for Convolutional Neural Networks. - Ozan Sener; Silvio Savarese (CoRR, 2017)

Deep Learning Under Privileged Information Using Heteroscedastic Dropout. - John Lambert; Ozan Sener; Silvio Savarese (CVPR, 2018)

Active Learning for Convolutional Neural Networks: A Core-Set Approach. - Ozan Sener; Silvio Savarese (ICLR (Poster), 2018)

Multi-Task Learning as Multi-Objective Optimization. - Ozan Sener; Vladlen Koltun (NeurIPS, 2018)

Generalizing to Unseen Domains via Adversarial Data Augmentation. - Riccardo Volpi; Hongseok Namkoong; Ozan Sener; John C. Duchi; Vittorio Murino; Silvio Savarese (NeurIPS, 2018)

Watch-n-Patch: Unsupervised Learning of Actions and Relations. - Chenxia Wu; Jiemi Zhang; Ozan Sener; Bart Selman; Silvio Savarese; Ashutosh Saxena (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. - He Wang 010; Sören Pirk; Ersin Yumer; Vladimir G. Kim; Ozan Sener; Srinath Sridhar 002; Leonidas J. Guibas (Comput. Graph. Forum, 2019)

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. - Adel Bibi; El Houcine Bergou; Ozan Sener; Bernard Ghanem; Peter Richtárik (AAAI, 2020)

A Stochastic Derivative Free Optimization Method with Momentum. - Eduard Gorbunov; Adel Bibi; Ozan Sener; El Houcine Bergou; Peter Richtárik (ICLR, 2020)

Learning to Guide Random Search. - Ozan Sener; Vladlen Koltun (ICLR, 2020)

Modeling and Optimization Trade-off in Meta-learning. - Katelyn Gao; Ozan Sener (NeurIPS, 2020)

Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks. - Umut Simsekli; Ozan Sener; George Deligiannidis; Murat A. Erdogdu (NeurIPS, 2020)

Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks. - Umut Simsekli; Ozan Sener; George Deligiannidis; Murat A. Erdogdu (CoRR, 2020)

Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. - Zhipeng Cai 003; Ozan Sener; Vladlen Koltun (ICCV, 2021)

Generalizing Gaussian Smoothing for Random Search. - Katelyn Gao; Ozan Sener (ICML, 2022)

Domain Generalization without Excess Empirical Risk. - Ozan Sener; Vladlen Koltun (NeurIPS, 2022)

Improving information retention in large scale online continual learning. - Zhipeng Cai 003; Vladlen Koltun; Ozan Sener (CoRR, 2022)

Generalized Sum Pooling for Metric Learning. - Yeti Ziya Gürbüz; Ozan Sener; A. Aydin Alatan (ICCV, 2023)

Online Continual Learning Without the Storage Constraint. - Ameya Prabhu; Zhipeng Cai 003; Puneet K. Dokania; Philip H. S. Torr; Vladlen Koltun; Ozan Sener (CoRR, 2023)

Simulation-based Inference for Cardiovascular Models. - Antoine Wehenkel; Jens Behrmann; Andrew C. Miller; Guillermo Sapiro; Ozan Sener; Marco Cuturi; Jörn-Henrik Jacobsen (CoRR, 2023)

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. - John Lambert; Zhuang Liu 003; Ozan Sener; James Hays; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. - Hexiang Hu; Ozan Sener; Fei Sha; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

RanDumb: Random Representations Outperform Online Continually Learned Representations. - Ameya Prabhu; Shiven Sinha; Ponnurangam Kumaraguru; Philip Torr 001; Ozan Sener; Puneet K. Dokania (NeurIPS, 2024)

RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning. - Ameya Prabhu; Shiven Sinha; Ponnurangam Kumaraguru; Philip H. S. Torr; Ozan Sener; Puneet K. Dokania (CoRR, 2024)

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. - Antoine Wehenkel; Juan L. Gamella; Ozan Sener; Jens Behrmann; Guillermo Sapiro; Marco Cuturi; Jörn-Henrik Jacobsen (CoRR, 2024)

Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers. - Laura Manduchi; Antoine Wehenkel; Jens Behrmann; Luca Pegolotti; Andy C. Miller; Ozan Sener; Marco Cuturi; Guillermo Sapiro; Jörn-Henrik Jacobsen (CoRR, 2024)

Robust Autonomy Emerges from Self-Play. - Marco F. Cusumano-Towner; David Hafner; Alexander Hertzberg; Brody Huval; Aleksei Petrenko; Eugene Vinitsky; Erik Wijmans; Taylor Killian; Stuart Bowers; Ozan Sener; Philipp Krähenbühl; Vladlen Koltun (CoRR, 2025)