| GRAF: Generative radiance fields for 3d-aware image synthesis K Schwarz, Y Liao, M Niemeyer, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020 | 603 | 2020 |
| KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs C Reiser, S Peng, Y Liao, A Geiger IEEE International Conf. on Computer Vision (ICCV), 2021, 2021 | 447 | 2021 |
| Deep marching cubes: Learning explicit surface representations Y Liao, S Donne, A Geiger IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 239 | 2018 |
| KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d Y Liao, J Xie, A Geiger IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3292-3310, 2022 | 232 | 2022 |
| On the integration of optical flow and action recognition L Sevilla-Lara, Y Liao, F Güney, V Jampani, A Geiger, MJ Black German Conference on Pattern Recognition (GCPR), 2018, 2018 | 215 | 2018 |
| Towards unsupervised learning of generative models for 3d controllable image synthesis Y Liao, K Schwarz, L Mescheder, A Geiger IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 120 | 2020 |
| Understand scene categories by objects: A semantic regularized scene classifier using convolutional neural networks Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu IEEE International Conf. on Robotics and Automation (ICRA), 2016, 2016 | 117 | 2016 |
| Parse geometry from a line: Monocular depth estimation with partial laser observation Y Liao, L Huang, Y Wang, S Kodagoda, Y Yu, Y Liu IEEE International Conf. on Robotics and Automation (ICRA), 2017, 2017 | 115 | 2017 |
| Shape As Points: A Differentiable Poisson Solver S Peng, C Jiang, Y Liao, M Niemeyer, M Pollefeys, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021 | 113 | 2021 |
| Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou, A Geiger, Y Liao International Conference on 3D Vision (3DV), 2022, 2022 | 72 | 2022 |
| Voxgraf: Fast 3d-aware image synthesis with sparse voxel grids K Schwarz, A Sauer, M Niemeyer, Y Liao, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 67 | 2022 |
| Graph regularized auto-encoders for image representation Y Liao, Y Wang, Y Liu IEEE Transactions on Image Processing 26 (6), 2839-2852, 2016 | 51 | 2016 |
| SMD-Nets: Stereo Mixture Density Networks F Tosi, Y Liao, C Schmitt, A Geiger IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 47 | 2021 |
| On the Frequency Bias of Generative Models K Schwarz, Y Liao, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021 | 37 | 2021 |
| Connecting the dots: Learning representations for active monocular depth estimation G Riegler, Y Liao, S Donne, V Koltun, A Geiger IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 34 | 2019 |
| Place classification with a graph regularized deep neural network Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu IEEE Transactions on Cognitive and Developmental Systems 9 (4), 304-315, 2016 | 29 | 2016 |
| Learning steering kernels for guided depth completion L Liu, Y Liao, Y Wang, A Geiger, Y Liu IEEE Transactions on Image Processing 30, 2850-2861, 2021 | 27 | 2021 |
| Filtering based adaptive visual odometry sensor framework robust to blurred images H Zhao, Y Liu, X Xie, Y Liao, X Liu Sensors 16 (7), 1040, 2016 | 19 | 2016 |
| General subspace constrained non-negative matrix factorization for data representation Y Liu, Y Liao, L Tang, F Tang, W Liu Neurocomputing 173, 224-232, 2016 | 17 | 2016 |
| Deep generative models on 3d representations: A survey Z Shi, S Peng, Y Xu, A Geiger, Y Liao, Y Shen arXiv preprint arXiv:2210.15663, 2022 | 15 | 2022 |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
