| 2026 | WACV | WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields. | Sadra Safadoust, Fabio Tosi, Fatma Gney, Matteo Poggi |
| 2025 | ICCV | ETA: Efficiency through Thinking Ahead, a Dual Approach to Self-Driving with Large Models. | Shadi Hamdan, Chonghao Sima, Zetong Yang, Hongyang Li, Fatma Gney |
| 2025 | ICIAP | Zero-Shot Neural Architecture Search for Efficient Deep Stereo Matching. | Alessio Mingozzi, Stefano Mattoccia, Matteo Poggi, Fatma Gney |
| 2025 | ICLR | Track-On: Transformer-based Online Point Tracking with Memory. | Grkay Aydemir, Xiongyi Cai, Weidi Xie, Fatma Gney |
| 2025 | VISIGRAPP | Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios. | Youssef Shoeb, Nazir Nayal, Azarm Nowzad, Fatma Gney, Hanno Gottschalk |
| 2024 | ACCV | O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out. | Misra Yavuz, Fatma Gney |
| 2024 | BMVC | Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs. | Sadra Safadoust, Fabio Tosi, Fatma Gney, Matteo Poggi |
| 2024 | ECCV | CarFormer: Self-driving with Learned Object-Centric Representations. | Shadi Hamdan, Fatma Gney |
| 2024 | WACV | Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. | Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Gney, Hanno Gottschalk |
| 2023 | ICCV | ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation. | Grkay Aydemir, Adil Kaan Akan, Fatma Gney |
| 2023 | ICCV | RbA: Segmenting Unknown Regions Rejected by All. | Nazir Nayal, Misra Yavuz, Joo F. Henriques, Fatma Gney |
| 2023 | ICCV | Multi-Object Discovery by Low-Dimensional Object Motion. | Sadra Safadoust, Fatma Gney |
| 2022 | ECCV | StretchBEV: Stretching Future Instance Prediction Spatially and Temporally. | Adil Kaan Akan, Fatma Gney |
| 2021 | ICCV | SLAMP: Stochastic Latent Appearance and Motion Prediction. | Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Gney |
| 2018 | ECCV | "What Is Optical Flow For?": Workshop Results and Summary. | Fatma Gney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff |
| 2018 | ECCV | Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. | Joel Janai, Fatma Gney, Anurag Ranjan, Michael J. Black, Andreas Geiger |
| 2017 | CVPR | Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. | Joel Janai, Fatma Gney, Jonas Wulff, Michael J. Black, Andreas Geiger |
| 2016 | ACCV | Deep Discrete Flow. | Fatma Gney, Andreas Geiger |
| 2015 | CVPR | Displets: Resolving stereo ambiguities using object knowledge. | Fatma Gney, Andreas Geiger |
| 2015 | ICCV | Exploiting Object Similarity in 3D Reconstruction. | Chen Zhou, Fatma Gney, Yizhou Wang, Andreas Geiger |