| Convolutional Occupancy Networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger European Conference on Computer Vision (ECCV), 2020 | 994 | 2020 |
| KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs C Reiser, S Peng, Y Liao, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 700 | 2021 |
| UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction M Oechsle, S Peng, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 691 | 2021 |
| NICE-SLAM: Neural Implicit Scalable Encoding for SLAM Z Zhu*, S Peng*, V Larsson, W Xu, H Bao, Z Cui, MR Oswald, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 547 | 2022 |
| MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction Z Yu, S Peng, M Niemeyer, T Sattler, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2022 | 365 | 2022 |
| DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing S Liu, Y Zhang, S Peng, B Shi, M Pollefeys, Z Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 321 | 2020 |
| OpenScene: 3D Scene Understanding with Open Vocabularies S Peng, K Genova, C Jiang, A Tagliasacchi, M Pollefeys, T Funkhouser Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 217 | 2023 |
| 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 | 197 | 2021 |
| NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM Z Zhu*, S Peng*, V Larsson, Z Cui, MR Oswald, A Geiger, M Pollefeys International Conference in 3D Vision (3DV), 2024 | 95 | 2024 |
| PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship L Zhang, S Peng, S Winkler IEEE Transactions on Affective Computing, 2019 | 52 | 2019 |
| Dynamic Plane Convolutional Occupancy Networks S Lionar*, D Emtsev*, D Svilarkovic*, S Peng Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 42 | 2021 |
| Depth Super-Resolution Meets Uncalibrated Photometric Stereo S Peng, B Haefner, Y Quéau, D Cremers Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 35 | 2017 |
| DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models S Cai, ER Chan, S Peng, M Shahbazi, A Obukhov, L Van Gool, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 34* | 2023 |
| Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty S Peng, P Sturm Proceedings of the IEEE International Conference on Computer Vision, 1497-1505, 2019 | 34 | 2019 |
| Photometric Depth Super-Resolution B Haefner*, S Peng*, A Verma*, Y Quéau, D Cremers IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2019 | 33 | 2019 |
| SDFStudio: A Unified Framework for Surface Reconstruction Z Yu, A Chen, B Antic, S Peng, A Bhattacharyya, M Niemeyer, S Tang, ... | 32 | 2022 |
| A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues S Peng, L Zhang, Y Ban, M Fang, S Winkler arXiv preprint arXiv:1805.00638, 2018 | 31 | 2018 |
| Parameter-efficient orthogonal finetuning via butterfly factorization W Liu, Z Qiu, Y Feng, Y Xiu, Y Xue, L Yu, H Feng, Z Liu, J Heo, S Peng, ... International Conference on Learning Representations (ICLR), 2024 | 26 | 2024 |
| Segment3D: Learning fine-grained class-agnostic 3d segmentation without manual labels R Huang, S Peng, A Takmaz, F Tombari, M Pollefeys, S Song, G Huang, ... European Conference on Computer Vision (ECCV), 2024 | 12 | 2024 |
| A Hybrid SLAM and Object Recognition System for Pepper Robot P Ardón*, K Kushibar*, S Peng* arXiv preprint arXiv:1903.00675, 2019 | 7 | 2019 |
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftBestätigte E-Mail-Adresse bei inf.ethz.ch
