Ozan Sener

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Topics

Unsupervised Learning

Semantic Parsing

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. CoRR (2024)
Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H. S. Torr, Ozan Sener, Puneet K. Dokania
RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning. CoRR (2024)
Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen
Simulation-based Inference for Cardiovascular Models. CoRR (2023)
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener
Online Continual Learning Without the Storage Constraint. CoRR (2023)
Yeti Ziya Gürbüz, Ozan Sener, A. Aydin Alatan
Generalized Sum Pooling for Metric Learning. ICCV (2023)
Yeti Ziya Gurbuz, Ozan Sener, A. Aydin Alatan
Generalized Sum Pooling for Metric Learning. CoRR (2023)
Ozan Sener, Vladlen Koltun
Domain Generalization without Excess Empirical Risk. CoRR (2023)
Katelyn Gao, Ozan Sener
Generalizing Gaussian Smoothing for Random Search. ICML (2022)
Katelyn Gao, Ozan Sener
Generalizing Gaussian Smoothing for Random Search. CoRR (2022)
Ozan Sener, Vladlen Koltun
Domain Generalization without Excess Empirical Risk. NeurIPS (2022)
Zhipeng Cai, Vladlen Koltun, Ozan Sener
Improving information retention in large scale online continual learning. CoRR (2022)
Zhipeng Cai, Ozan Sener, Vladlen Koltun
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. CoRR (2021)
John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. CoRR (2021)
Zhipeng Cai, Ozan Sener, Vladlen Koltun
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. ICCV (2021)
John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. CVPR (2020)
Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks. CoRR (2020)
Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. AAAI (2020)
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
Drinking from a Firehose: Continual Learning with Web-scale Natural Language. CoRR (2020)
Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks. NeurIPS (2020)
Ozan Sener, Vladlen Koltun
Learning to Guide Random Search. ICLR (2020)
Ozan Sener, Vladlen Koltun
Learning to Guide Random Search. CoRR (2020)
Eduard A. Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik
A Stochastic Derivative Free Optimization Method with Momentum. ICLR (2020)
Katelyn Gao, Ozan Sener
Modeling and Optimization Trade-off in Meta-learning. NeurIPS (2020)
Katelyn Gao, Ozan Sener
Modeling and Optimization Trade-off in Meta-learning. CoRR (2020)
He Wang, Sören Pirk, Ersin Yumer, Vladimir G. Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Comput. Graph. Forum 38 (2) (2019)
John Lambert, Ozan Sener, Silvio Savarese
Deep Learning under Privileged Information Using Heteroscedastic Dropout. CoRR (2018)
Ozan Sener, Vladlen Koltun
Multi-Task Learning as Multi-Objective Optimization. NeurIPS (2018)
Ozan Sener, Vladlen Koltun
Multi-Task Learning as Multi-Objective Optimization. CoRR (2018)
John Lambert, Ozan Sener, Silvio Savarese
Deep Learning Under Privileged Information Using Heteroscedastic Dropout. CVPR (2018)
Ozan Sener, Silvio Savarese
Active Learning for Convolutional Neural Networks: A Core-Set Approach. ICLR (Poster) (2018)
Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
Generalizing to Unseen Domains via Adversarial Data Augmentation. NeurIPS (2018)
Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena
Watch-n-Patch: Unsupervised Learning of Actions and Relations. IEEE Trans. Pattern Anal. Mach. Intell. 40 (2) (2018)
Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
Generalizing to Unseen Domains via Adversarial Data Augmentation. CoRR (2018)
Rachel Luo, Ozan Sener, Silvio Savarese
Scene Semantic Reconstruction from Egocentric RGB-D-Thermal Videos. 3DV (2017)
Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese
image2mass: Estimating the Mass of an Object from Its Image. CoRL (2017)
Ozan Sener, Silvio Savarese
A Geometric Approach to Active Learning for Convolutional Neural Networks. CoRR (2017)
Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
Learning Transferrable Representations for Unsupervised Domain Adaptation. NIPS (2016)
Ozan Sener, Amir Roshan Zamir, Chenxia Wu, Silvio Savarese, Ashutosh Saxena
Unsupervised Semantic Action Discovery from Video Collections. CoRR (2016)
Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
Unsupervised Transductive Domain Adaptation. CoRR (2016)
Iro Armeni, Ozan Sener, Amir Roshan Zamir, Helen Jiang, Ioannis K. Brilakis, Martin Fischer, Silvio Savarese
3D Semantic Parsing of Large-Scale Indoor Spaces. CVPR (2016)
Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena
Watch-n-Patch: Unsupervised Learning of Actions and Relations. CoRR (2016)
Ozan Sener, Ashutosh Saxena
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos. Robotics: Science and Systems (2015)
Ozan Sener, Amir Roshan Zamir, Silvio Savarese, Ashutosh Saxena
Unsupervised Semantic Parsing of Video Collections. ICCV (2015)
Ozan Sener, Amir Roshan Zamir, Silvio Savarese, Ashutosh Saxena
Unsupervised Semantic Parsing of Video Collections. CoRR (2015)
Ozan Sener, Kemal Ugur, A. Aydin Alatan
Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters. IEEE Trans. Multim. 16 (5) (2014)
Ashutosh Saxena, Ashesh Jain, Ozan Sener, Aditya Jami, Dipendra Kumar Misra, Hema Swetha Koppula
RoboBrain: Large-Scale Knowledge Engine for Robots. CoRR (2014)
Ozan Sener, Kemal Ugur, A. Aydin Alatan
Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters CoRR (2013)
Yagiz Aksoy, Ozan Sener, A. Aydin Alatan, Kemal Ugur
Interactive 2D-3D image conversion for mobile devices. ICIP (2012)
Ozan Sener, Kemal Ugur, A. Aydin Alatan
Error-tolerant interactive image segmentation using dynamic and iterated graph-cuts. IMMPD@ACM Multimedia (2012)
Ozan Sener, Kemal Ugur, A. Aydin Alatan
Robust interactive segmentation via coloring. VIGTA@AVI (2012)