| Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data X Chen, S Li, B Mersch, L Wiesmann, J Gall, J Behley, C Stachniss IEEE Robotics and Automation Letters 6 (4), 6529-6536, 2021 | 216 | 2021 |
| MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation Y Qiu, Y Liu, S Li, J Xu AAAI Conference on Artificial Intelligence, 2020 | 156 | 2020 |
| Multi-scale interaction for real-time lidar data segmentation on an embedded platform S Li, X Chen, Y Liu, D Dai, C Stachniss, J Gall IEEE Robotics and Automation Letters 7 (2), 738-745, 2021 | 92 | 2021 |
| Del: Deep embedding learning for efficient image segmentation. Y Liu, PT Jiang, V Petrosyan, SJ Li, J Bian, Le Zhang 0001, MM Cheng IJCAI 864, 870, 2018 | 57 | 2018 |
| Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition S Li, J Yi, YA Farha, J Gall IEEE Robotics and Automation Letters (RA-L), 2020 | 56 | 2020 |
| CubemapSLAM: A piecewise-pinhole monocular fisheye SLAM system Y Wang, S Cai, SJ Li, Y Liu, Y Guo, T Li, MM Cheng Asian Conference on Computer Vision, 34-49, 2018 | 45 | 2018 |
| Rethinking 3-D LiDAR point cloud segmentation S Li, Y Liu, J Gall IEEE transactions on neural networks and learning systems, 2021 | 34 | 2021 |
| Direct line guidance odometry SJ Li, B Ren, Y Liu, MM Cheng, D Frost, VA Prisacariu 2018 IEEE international conference on Robotics and automation (ICRA), 5137-5143, 2018 | 30 | 2018 |
| Joint salient object detection and existence prediction H Jiang, MM Cheng, SJ Li, A Borji, J Wang Frontiers of Computer Science 13, 778-788, 2019 | 27 | 2019 |
| Spatial-temporal consistency network for low-latency trajectory forecasting S Li, Y Zhou, J Yi, J Gall Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
| Refinedbox: Refining for fewer and high-quality object proposals Y Liu, S Li, MM Cheng Neurocomputing 406, 106-116, 2020 | 17 | 2020 |
| Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis S Li, MM Cheng, J Gall 2022 British Machine Vision Conference, 2022 | 14 | 2022 |
| Tfnet: Exploiting temporal cues for fast and accurate lidar semantic segmentation R Li, S Li, X Chen, T Ma, J Gall, J Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Foresight Social-aware Reinforcement Learning for Robot Navigation Y Zhou, S Li, J Garcke 2023 Chinese Control and Decision Conference, 2023 | 7* | 2023 |
| MS-TCN++: Multi-stage temporal convolutional network for action segmentation Y Liu, MM Cheng, SJ Li, YA Farha, J Gall IEEE Trans. Pattern Analysis and Machine Intelligence, 1-1, 2020 | 6 | 2020 |
| VaLID: Variable-Length Input Diffusion for Novel View Synthesis S Li, FG Zanjani, HB Yahia, YM Asano, J Gall, A Habibian WACV 2025, 2023 | 4 | 2023 |
| Structured skip list: A compact data structure for 3D reconstruction SJ Li, MM Cheng, Y Liu, SP Lu, YH Wang, VA Prisacariu 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 3 | 2018 |
| Seeground: See and ground for zero-shot open-vocabulary 3d visual grounding R Li, S Li, L Kong, X Yang, J Liang arXiv preprint arXiv:2412.04383, 2024 | 1 | 2024 |
| Semantic RGB-D Image Synthesis S Li, R Li, J Gall Proceedings of the IEEE/CVF International Conference on Computer Vision, 944-952, 2023 | | 2023 |
Juergen GallUniversity of BonnOverená e-mailová adresa na: iai.uni-bonn.de