| 2018 | ICIP | FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. | Ren Schuster, Christian Bailer, Oliver Wasenmller, Didier Stricker |
| 2018 | WACV | SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. | Ren Schuster, Oliver Wasenmller, Georg Kuschk, Christian Bailer, Didier Stricker |
| 2017 | BMVC | Fast dense feature extraction with convolutional neural networks that have pooling or striding layers. | Christian Bailer, Tewodros Habtegebrial, Kiran Varanasi, Didier Stricker |
| 2017 | CVPR | CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss. | Christian Bailer, Kiran Varanasi, Didier Stricker |
| 2015 | ICCV | Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation. | Christian Bailer, Bertram Taetz, Didier Stricker |
| 2014 | ECCV | A Superior Tracking Approach: Building a Strong Tracker through Fusion. | Christian Bailer, Alain Pagani, Didier Stricker |
| 2012 | ECCV | Scale Robust Multi View Stereo. | Christian Bailer, Manuel Finckh, Hendrik P. A. Lensch |