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Shijie Li 0006
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2020 – today
- 2025
- [j8]Shijie Li
, Yun Liu
, Juergen Gall
:
Rethinking 3-D LiDAR Point Cloud Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4079-4090 (2025) - [c11]Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang:
SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding. CVPR 2025: 3707-3717 - [c10]Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Jürgen Gall, Amirhossein Habibian:
Valid: Variable-Length Input Diffusion for Novel View Synthesis. WACV 2025: 2240-2249 - [i15]Shijie Li, Xun Xu, Si Yong Yeo, Xulei Yang:
Future-Aware Interaction Network For Motion Forecasting. CoRR abs/2503.06565 (2025) - [i14]Shijie Li, Zhongyao Cheng, Rong Li, Shuai Li, Juergen Gall, Xun Xu, Xulei Yang:
Global-Aware Monocular Semantic Scene Completion with State Space Models. CoRR abs/2503.06569 (2025) - [i13]Yifan Liu, Xun Xu, Shijie Li, Jingyi Liao, Xulei Yang:
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion. CoRR abs/2503.11088 (2025) - [i12]Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang:
Zero-Shot 3D Visual Grounding from Vision-Language Models. CoRR abs/2505.22429 (2025) - 2024
- [j7]Yu Qiu
, Yun Liu
, Shijie Li
, Jing Xu
:
MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8570-8584 (2024) - [c9]Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang:
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation. CVPR Workshops 2024: 4547-4556 - [i11]Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang:
SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding. CoRR abs/2412.04383 (2024) - 2023
- [j6]Shijie Li
, Yazan Abu Farha
, Yun Liu
, Ming-Ming Cheng
, Juergen Gall
:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6647-6658 (2023) - [c8]Shijie Li, Rong Li, Juergen Gall:
Semantic RGB-D Image Synthesis. ICCV (Workshops) 2023: 944-952 - [i10]Shijie Li, Rong Li, Juergen Gall:
Semantic RGB-D Image Synthesis. CoRR abs/2308.11356 (2023) - [i9]Rong Li, Shijie Li, Xieyuanli Chen
, Teli Ma, Wang Hao, Juergen Gall, Junwei Liang:
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation. CoRR abs/2309.07849 (2023) - [i8]Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Juergen Gall, Amirhossein Habibian:
VaLID: Variable-Length Input Diffusion for Novel View Synthesis. CoRR abs/2312.08892 (2023) - 2022
- [j5]Shijie Li
, Xieyuanli Chen
, Yun Liu
, Dengxin Dai, Cyrill Stachniss
, Juergen Gall
:
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7(2): 738-745 (2022) - [c7]Shijie Li, Ming-Ming Cheng, Jürgen Gall:
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. BMVC 2022: 285 - [i7]Shijie Li, Ming-Ming Cheng, Juergen Gall:
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. CoRR abs/2210.04085 (2022) - 2021
- [j4]Shijie Li
, Jinhui Yi, Yazan Abu Farha
, Juergen Gall
:
Pose Refinement Graph Convolutional Network for Skeleton-Based Action Recognition. IEEE Robotics Autom. Lett. 6(2): 1028-1035 (2021) - [j3]Xieyuanli Chen
, Shijie Li
, Benedikt Mersch
, Louis Wiesmann
, Jürgen Gall
, Jens Behley
, Cyrill Stachniss
:
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. IEEE Robotics Autom. Lett. 6(4): 6529-6536 (2021) - [c6]Yu Qiu, Yun Liu, Shijie Li, Jing Xu:
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. AAAI 2021: 4846-4854 - [c5]Shijie Li, Yanying Zhou, Jinhui Yi, Juergen Gall:
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting. ICCV 2021: 1920-1929 - [i6]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data. CoRR abs/2105.08971 (2021) - 2020
- [j2]Yun Liu
, Shijie Li, Ming-Ming Cheng
:
Refinedbox: Refining for fewer and high-quality object proposals. Neurocomputing 406: 106-116 (2020) - [i5]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR abs/2006.09220 (2020) - [i4]Shijie Li, Yun Liu, Juergen Gall:
Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation. CoRR abs/2008.03928 (2020) - [i3]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. CoRR abs/2008.09162 (2020) - [i2]Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall:
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition. CoRR abs/2010.07367 (2020)
2010 – 2019
- 2019
- [j1]Huaizu Jiang, Ming-Ming Cheng
, Shijie Li, Ali Borji, Jingdong Wang
:
Joint salient object detection and existence prediction. Frontiers Comput. Sci. 13(4): 778-788 (2019) - 2018
- [c4]Yahui Wang, Shaojun Cai, Shijie Li, Yun Liu, Yangyan Guo
, Tao Li, Ming-Ming Cheng
:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. ACCV (6) 2018: 34-49 - [c3]Shijie Li, Bo Ren
, Yun Liu, Ming-Ming Cheng
, Duncan P. Frost, Victor Adrian Prisacariu:
Direct Line Guidance Odometry. ICRA 2018: 1-7 - [c2]Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shijie Li, Jiawang Bian
, Le Zhang
, Ming-Ming Cheng
:
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI 2018: 864-870 - [c1]Shijie Li, Ming-Ming Cheng
, Yun Liu, Shao-Ping Lu, Yahui Wang, Victor Adrian Prisacariu:
Structured Skip List: A Compact Data Structure for 3D Reconstruction. IROS 2018: 1-7 - [i1]Yahui Wang, Shaojun Cai, Shijie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. CoRR abs/1811.12633 (2018)
Coauthor Index
aka: Jürgen Gall

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last updated on 2025-10-02 01:20 CEST by the dblp team
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