Ms-tcn++: Multi-stage temporal convolutional network for action segmentation S Li, YA Farha, Y Liu, MM Cheng, J Gall IEEE transactions on pattern analysis and machine intelligence 45 (6), 6647-6658, 2020 | 284 | 2020 |
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 | 195 | 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 | 153 | 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 | 85 | 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 | 58 | 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 | 51 | 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 | 41 | 2018 |
Rethinking 3-D LiDAR point cloud segmentation S Li, Y Liu, J Gall IEEE transactions on neural networks and learning systems, 2021 | 33 | 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 | 21 | 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 | 11 | 2022 |
Foresight Social-aware Reinforcement Learning for Robot Navigation Y Zhou, S Li, J Garcke 2023 Chinese Control and Decision Conference, 2023 | 6* | 2023 |
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 | 5 | 2024 |
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 |
VaLID: Variable-Length Input Diffusion for Novel View Synthesis S Li, FG Zanjani, HB Yahia, YM Asano, J Gall, A Habibian WACV 2025, 2023 | 2 | 2023 |
Efficient Perception and Forecasting for Autonomous Vehicles S Li Universitäts-und Landesbibliothek Bonn, 2024 | | 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 |