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Fatma Güney
Person information
- affiliation: Koc University, Istanbul, Turkey
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2020 – today
- 2024
- [c18]Youssef Shoeb, R. Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk:
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. WACV 2024: 7381-7391 - [i17]Shadi Hamdan, Fatma Güney:
CarFormer: Self-Driving with Learned Object-Centric Representations. CoRR abs/2407.15843 (2024) - 2023
- [c17]Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney:
RbA: Segmenting Unknown Regions Rejected by All. ICCV 2023: 711-722 - [c16]Sadra Safadoust, Fatma Güney:
Multi-Object Discovery by Low-Dimensional Object Motion. ICCV 2023: 734-744 - [c15]Görkay Aydemir, Adil Kaan Akan, Fatma Güney:
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation. ICCV 2023: 8261-8271 - [c14]Görkay Aydemir, Weidi Xie, Fatma Güney:
Self-supervised Object-Centric Learning for Videos. NeurIPS 2023 - [i16]Sadra Safadoust, Fatma Güney:
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax. CoRR abs/2301.02092 (2023) - [i15]Sadra Safadoust, Fatma Güney:
Multi-Object Discovery by Low-Dimensional Object Motion. CoRR abs/2307.08027 (2023) - [i14]Görkay Aydemir, Adil Kaan Akan, Fatma Güney:
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation. CoRR abs/2307.14187 (2023) - [i13]Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk:
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. CoRR abs/2309.04302 (2023) - [i12]Ege Onat Özsüer, Baris Akgün, Fatma Güney:
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving. CoRR abs/2309.09756 (2023) - [i11]Görkay Aydemir, Weidi Xie, Fatma Güney:
Self-supervised Object-Centric Learning for Videos. CoRR abs/2310.06907 (2023) - 2022
- [c13]Adil Kaan Akan
, Fatma Güney
:
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally. ECCV (38) 2022: 444-460 - [i10]Adil Kaan Akan, Sadra Safadoust, Erkut Erdem, Aykut Erdem, Fatma Güney:
Stochastic Video Prediction with Structure and Motion. CoRR abs/2203.10528 (2022) - [i9]Adil Kaan Akan, Fatma Güney:
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally. CoRR abs/2203.13641 (2022) - [i8]Görkay Aydemir, Adil Kaan Akan, Fatma Güney:
Trajectory Forecasting on Temporal Graphs. CoRR abs/2207.00255 (2022) - [i7]Çagan Selim Çoban, Oguzhan Keskin, Jordi Pont-Tuset, Fatma Güney:
Two-Level Temporal Relation Model for Online Video Instance Segmentation. CoRR abs/2210.16795 (2022) - [i6]Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney:
Pixels Together Strong: Segmenting Unknown Regions Rejected by All. CoRR abs/2211.14293 (2022) - 2021
- [c12]Sadra Safadoust, Fatma Güney:
Self-Supervised Monocular Scene Decomposition and Depth Estimation. 3DV 2021: 627-636 - [c11]Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Güney:
SLAMP: Stochastic Latent Appearance and Motion Prediction. ICCV 2021: 14708-14717 - [i5]Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Güney:
SLAMP: Stochastic Latent Appearance and Motion Prediction. CoRR abs/2108.02760 (2021) - [i4]Sadra Safadoust, Fatma Güney:
Self-Supervised Monocular Scene Decomposition and Depth Estimation. CoRR abs/2110.11275 (2021) - [i3]Farzin Negahbani, Onur Berk Töre, Fatma Güney, Baris Akgün:
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection. CoRR abs/2111.04780 (2021) - 2020
- [j1]Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger:
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. Found. Trends Comput. Graph. Vis. 12(1-3): 1-308 (2020)
2010 – 2019
- 2018
- [b1]Fatma Güney:
Combining Features and Semantics for Low-level Computer Vision. University of Tübingen, Germany, 2018 - [c10]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. GCPR 2018: 281-297 - [c9]Joel Janai, Fatma Güney, Anurag Ranjan, Michael J. Black, Andreas Geiger:
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. ECCV (16) 2018: 713-731 - [c8]Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff:
"What Is Optical Flow For?": Workshop Results and Summary. ECCV Workshops (6) 2018: 731-739 - 2017
- [c7]Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black
, Andreas Geiger:
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. CVPR 2017: 1406-1416 - [i2]Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger:
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art. CoRR abs/1704.05519 (2017) - [i1]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. CoRR abs/1712.08416 (2017) - 2016
- [c6]Fatma Güney, Andreas Geiger:
Deep Discrete Flow. ACCV (4) 2016: 207-224 - 2015
- [c5]Fatma Güney, Andreas Geiger:
Displets: Resolving stereo ambiguities using object knowledge. CVPR 2015: 4165-4175 - [c4]Chen Zhou, Fatma Güney, Yizhou Wang, Andreas Geiger:
Exploiting Object Similarity in 3D Reconstruction. ICCV 2015: 2201-2209 - 2013
- [c3]Fatma Güney, Nuri Murat Arar
, Mika Fischer, Hazim Kemal Ekenel
:
Cross-pose facial expression recognition. FG 2013: 1-6 - 2012
- [c2]Fatma Güney, Nuri Murat Arar
, Hazim Kemal Ekenel
:
Open-set face recognition system. SIU 2012: 1-2 - [c1]Nuri Murat Arar, Fatma Güney, Nasuh Kaan Bekmezci, Hua Gao, Hazim Kemal Ekenel:
Real-time Face Swapping in Video Sequences - Magic Mirror. VISAPP (2) 2012: 48-53
Coauthor Index
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last updated on 2024-08-20 20:32 CEST by the dblp team
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