SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Behley, Jens, Garbade, Martin, Milioto, Andres, Quenzel, Jan, Behnke, Sven, Stachniss, Cyrill, Gall, Jurgen·2019·2019 IEEE/CVF International Conference on Computer Vision (ICCV)
DOI 10.1109/iccv.2019.00939

Cited by (1,000)

Items 801–900 of 1,000

  1. Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints
    Jacqueline Ankenbauer, Parker C. Lusk, Annika Thomas, Jonathan P. How · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  2. Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
    Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Yifeng Geng, Xuansong Xie · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  3. SSF-MOS: Semantic Scene Flow Assisted Moving Object Segmentation for Autonomous Vehicles
    Tao Song, Yunhao Liu, Ziying Yao, Xinkai Wu · 2024 · IEEE Transactions on Instrumentation and Measurement
  4. GLSNet++: Global and Local-Stream Feature Fusion for LiDAR Point Cloud Semantic Segmentation Using GNN Demixing Block
    Rina Bao, Kannappan Palaniappan, Yunxin Zhao, Guna S. Seetharaman · 2024 · IEEE Sensors Journal
  5. Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training
    Aoran Xiao, Jiaxing Huang, Kangcheng Liu, Dayan Guan, Xiaoqin Zhang, Shijian Lu · 2024 · IEEE Transactions on Intelligent Transportation Systems
  6. Panoptic segmentation of 3D point clouds with Gaussian mixture model in outdoor scenes
    Yizhou Wang, Longguang Wang, Qingyong Hu, Yan Liu, Ye Zhang, Yulan Guo · 2024 · Visual Intelligence
  7. Introduction
    Ge Li, Wei Gao, Wen Gao · 2024 · Springer eBooks
  8. HybridOcc: NeRF Enhanced Transformer-Based Multi-Camera 3D Occupancy Prediction
    Xiao Feng Zhao, Bo Chen, Mingyang Sun, Dingkang Yang, Youxing Wang, Xukun Zhang, Mingcheng Li, Dongliang Kou, Xiaoyi Wei, Lihua Zhang · 2024 · IEEE Robotics and Automation Letters
  9. Accurate 3-D Semantic Segmentation of Point Clouds for Intelligent Vehicles Based on Multiview Edge Guidance and Fusion
    Yan Liu, Lei Xu, Weiming Hu, Xiong Chen, Bo Yi, Qiu Mao, Dong Kong, Shengping Ruan · 2024 · IEEE Sensors Journal
  10. A Du-Octree based Cross-Attention Model for LiDAR Geometry Compression
    Mingyue Cui, Mingjian Feng, Junhua Long, Daosong Hu, Shuai Zhao, Kai Huang · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  11. PPDistiller: Weakly-supervised 3D point cloud semantic segmentation framework via point-to-pixel distillation
    Yong Zhang, Zhaolong Wu, Rukai Lan, Yingjie Liang, Yifan Liu · 2024 · Knowledge-Based Systems
  12. CLIP2UDA: Making Frozen CLIP Reward Unsupervised Domain Adaptation in 3D Semantic Segmentation
    Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Yanyun Qu · 2024 · ACM International Conference on Multimedia (ACM MM)
  13. DeepSteg: Integerating new paradigms of cascaded deep video steganography for securing digital data
    Sahar Magdy, Sherin Moustafa Youssef, Karma M. Fathalla, Saleh ElShehaby · 2025 · Alexandria Engineering Journal
  14. LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
    Liudi Yang, Ruben Mascaro, Ignacio Alzugaray, Sai Manoj Prakhya, Marco Karrer, Ziyuan Liu, Margarita Chli · 2025 · Journal of Intelligent & Robotic Systems
  15. Occlusion-aware hybrid learning framework for point cloud understanding in building mechanical, electrical, and plumbing systems
    Shuju Jing, Xiangyang Li, Michael Bekele Maru, Byoungjoon Yu, Gichun Cha, Seunghee Park · 2025 · Energy and Buildings
  16. Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
    Yifan Zhang, Junhui Hou, Siyu Ren, Jinjian Wu, Yixuan Yuan, Guangming Shi · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  17. LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
    Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  18. Ephemerality Meets Lidar-Based Lifelong Mapping
    Hyeonjae Gil, Dongjae Lee, Giseop Kim, Ayoung Kim · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  19. TripleMixer: A Triple-Domain Mixing Model for Point Cloud Denoising Under Adverse Weather
    Xiongwei Zhao, Congcong Wen, Xu Zhu, Yang Wang, Haojie Bai, Wenhao Dou · 2025 · IEEE Transactions on Image Processing
  20. ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES
    Leonardo Gigli, Bangalore Ravi Kiran, T. Paul, Andrés Serna, Nagarjuna Vemuri, Beatriz Marcotegui, Santiago Velasco-Forero · 2020 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  21. Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM
    Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  22. GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration
    Parker C. Lusk, Devarth Parikh, Jonathan P. How · 2022 · IEEE Robotics and Automation Letters
  23. CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance
    Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  24. FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds
    Lihe Ding, Shaocong Dong, Tingfa Xu, Xinli Xu, Jie Wang, Jianan Li · 2022 · Lecture notes in computer science
  25. A Fast Ground Segmentation Method of LiDAR Point Cloud From Coarse-to-Fine
    Dongbing Guo, Guohui Yang, Baoling Qi, Chunhui Wang · 2022 · IEEE Sensors Journal
  26. ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring
    Maciej Trzeciak, Kacper Pluta, Yasmin Fathy, Lucio Alcalde, Stanley Chee, Antony Bromley, Ioannis Brilakis, Pierre Alliez · 2023 · Lecture notes in computer science
  27. A Novel Real-Time Edge-Guided LiDAR Semantic Segmentation Network for Unstructured Environments
    Xiaoqing Yin, Xu Li, Peizhou Ni, Qimin Xu, Dong Kong · 2023 · Remote Sensing
  28. Sparse Convolution Based Octree Feature Propagation for Lidar Point Cloud Compression
    Muhammad Asad Lodhi, Jiahao Pang, Dong Tian · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  29. Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds
    Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  30. LR-Seg: A Ground Segmentation Method for Low-Resolution LiDAR Point Clouds
    Tayir Mijit, Eksan Firkat, Xiaming Yuan, Yutong Liang, Jihong Zhu, Askar Hamdulla · 2023 · IEEE Transactions on Intelligent Vehicles
  31. Robust point cloud registration for map-based autonomous robot navigation
    Amit Efraim, Joseph M. Francos · 2024 · EURASIP Journal on Advances in Signal Processing
  32. MSIDA-Net: Point Cloud Semantic Segmentation via Multi-Spatial Information and Dual Adaptive Blocks
    Feng Shuang, Pei Li, Yong Li, Zhenxin Zhang, Xu Li · 2022 · Remote Sensing
  33. Superpoint Transformer–Based Bridge Component Recognition Using UAV-Mounted LiDAR and Synthetic Point Cloud Generation
    Yohan Kim, Jeehoon Kim, Juhyeon Kim, Hyoungkwan Kim · 2025 · Journal of Computing in Civil Engineering
  34. M2UD: A multi-model, multi-scenario, uneven-terrain dataset for ground robot with localization and mapping evaluation
    Yanpeng Jia, Shiyi Wang, Shiliang Shao, Yue Wang, Fu Zhang, Ting Wang · 2025 · The International Journal of Robotics Research
  35. 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
    Ozan Unal, Dengxin Dai, Lukas Hoyer, Yiğit Baran Can, Luc Van Gool · 2024 · IEEE Winter Conference on Applications of Computer Vision
  36. Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
    Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meißner, Klaus Dietmayer · 2024 · IEEE Robotics and Automation Letters
  37. SimDiff : Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution
    Yangfan Li, Mengquan Li, Cen Chen, Xiaofeng Zou, Hongen Shao, Fengxiao Tang, Kenli Li · 2024 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  38. LSGRNet: Local Spatial Latent Geometric Relation Learning Network for 3D point cloud semantic segmentation
    Liguo Luo, Jian Lu, Xiaogai Chen, Kaibing Zhang, Jian Zhou · 2024 · Computers & Graphics
  39. Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-Based 3D Semantic Scene Completion
    Yujie Xue, Ruihui Li, Fan Wu, Zhuo Tang, Kenli Li, Mingxing Duan · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  40. AdaptiveOcc: Adaptive Octree-Based Network for Multi-Camera 3D Semantic Occupancy Prediction in Autonomous Driving
    Tianyu Yang, Yeqiang Qian, Weihao Yan, Chunxiang Wang, Ming Zhu Yang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
  41. Occupancy as Set of Points
    Yiang Shi, Tianheng Cheng, Qian Zhang, Wenyu Liu, Xinggang Wang · 2024 · Lecture notes in computer science
  42. Open-Source Projects for 3D Point Clouds
    Wei Gao, Ge Li · 2024 · Springer eBooks
  43. Introduction to 3D Point Clouds: Datasets and Perception
    Wei Gao, Ge Li · 2024 · Springer eBooks
  44. OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robots in Dynamic Environments via State Space Model
    Junming Wang, Xiuxian Guan, Zekai Sun, Tianxiang Shen, Dong Huang, Fangming Liu, Heming Cui · 2024 · IEEE Robotics and Automation Letters
  45. Radial awareness with adaptive hybrid CNN-Transformer range-view representation for outdoor LiDAR point cloud semantic segmentation
    Xiang He, Xu Li, Qimin Xu, Yue Hu, Zhengliang Sun · 2025 · Expert Systems with Applications
  46. A tightly coupled integration of GNSS/IMU/LiDAR with parameterized semantic line and plane features to improve pose accuracy in complex environments
    Junlong Cheng, Xiaohong Zhang, Feng Zhu, Jie Hu, Desheng Zhuo, Mohamed Freeshah · 2025 · Measurement
  47. 3D Reconstruction in Robotics: A Comprehensive Review
    Dharmendra Selvaratnam, Dena Bazazian · 2025 · Computers & Graphics
  48. Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
    Kasi Viswanath, Peng Jiang, Srikanth Saripalli · 2025 · IFAC-PapersOnLine
  49. Semantic Scan Context: Global Semantic Descriptor for LiDAR-based Place Recognition
    Yuxiang Li, Pengpeng Su, Ming Wei Cao, Haoyao Chen, Xin Jiang, Yunhui Liu · 2021 · IEEE International Conference on Real-time Computing and Robotics (RCAR)
  50. MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
    Chuanyu Luo, Xiaohan Li, Nuo Cheng, Han Li, Shengguang Lei, Pu Li · 2022 · Journal of WSCG
  51. Advanced Techniques for Perception and Localization in Autonomous Driving Systems: A Survey
    Qusay Sellat, Kanagachidambaresan Ramasubramanian · 2022 · Optical Memory and Neural Networks
  52. Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
    Seokju Lee, François Rameau, Sunghoon Im, In So Kweon · 2022 · International Journal of Computer Vision
  53. LiSurveying: A high-resolution TLS-LiDAR benchmark
    Gabriel Lugo, Ryan L. Li, Rutvik Chauhan, Zihao Wang, Palak Tiwary, Utkarsh Pandey, Archi Patel, Steve Rombough, Rod Schatz, Irene Cheng · 2022 · Computers & Graphics
  54. exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference
    Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  55. Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data
    Kazuto Nakashima, Yumi Iwashita, Ryo Kurazume · 2023 · IEEE Winter Conference on Applications of Computer Vision
  56. BIRD-PCC: Bi-Directional Range Image-Based Deep Lidar Point Cloud Compression
    Chia-Sheng Liu, Jia-Fong Yeh, Hao Wen Hsu, Hung-Ting Su, Ming‐Sui Lee, Winston H. Hsu · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  57. Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences
    Hanyu Shi, Ruibo Li, Fayao Liu, Guosheng Lin · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
  58. Self-Supervised 3D Traversability Estimation With Proxy Bank Guidance
    Jihwan Bae, Junwon Seo, Taekyung Kim, Hae‐Gon Jeon, Kiho Kwak, Inwook Shim · 2023 · IEEE Access
  59. Scene point cloud understanding and reconstruction technologies in 3D space
    Jingyu Gong, Yujing Lou, Fengqi Liu, Zhiwei Zhang, Haoming Chen, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma · 2023 · Journal of Image and Graphics
  60. A Local-Global Feature Fusing Method for Point Clouds Semantic Segmentation
    Yuanwei Bi, Lujian Zhang, Yaowen Liu, Yansen Huang, Hao Liu · 2023 · IEEE Access
  61. IEFM and IDS: Enhancing 3D environment perception via information encoding in indoor point cloud semantic segmentation
    Kaixiang Huang, Jin Wang, Jingru Yang, Ying Yang, Guodong Lu, Yuzhen Chen, Huan Yu, Qifeng Zhang · 2023 · Neurocomputing
  62. 3-D Point Cloud Attribute Compression With $ p$-Laplacian Embedding Graph Dictionary Learning
    Xin Li, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  63. Point-NAS: A Novel Neural Architecture Search Framework for Point Cloud Analysis
    Tao Xie, Haoming Zhang, Linqi Yang, Ke Wang, Kun Dai, Ruifeng Li, Lijun Zhao · 2023 · IEEE Transactions on Image Processing
  64. Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving
    K. T. Y. Mahima, Asanka G. Perera, Sreenatha Gopalarao Anavatti, Matthew Garratt · 2023 · Sensors
  65. Pyramid Semantic Graph-Based Global Point Cloud Registration with Low Overlap
    Zhijian Qiao, Zehuan Yu, Huan Yin, Shaojie Shen · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  66. Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models
    Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  67. OctOcc: High-Resolution 3D Occupancy Prediction with Octree
    Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  68. 3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving
    Yuan Zhuang, Qipeng Li, Yiwen Chen, Jianzhu Huai, Miao Li, Tianbing Ma, Yufei Tang, Xinlian Liang · 2024 · IEEE Transactions on Intelligent Transportation Systems
  69. PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
    Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Yan Tang, Yixue Hao, Long Hu, Min Chen · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  70. RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
    Li Li, Hubert P. H. Shum, Toby P. Breckon · 2024 · Lecture notes in computer science
  71. ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty
    Joey Wilson, Yuewei Fu, Joshua Friesen, Parker Ewen, Andrew Capodieci, Paramsothy Jayakumar, Kira L. Barton, Maani Ghaffari · 2024 · IEEE Transactions on Robotics
  72. Robust Industrial UAV/UGV-Based Unsupervised Domain Adaptive Crack Recognitions with Depth and Edge Awareness: From System and Database Constructions to Real-Site Inspections
    Kangcheng Liu · 2022 · ACM International Conference on Multimedia (ACM MM)
  73. Efficient Urban-scale Point Clouds Segmentation with BEV Projection
    Zhenhong Zou, Yizhe Li · 2021 · arXiv (Cornell University)
  74. Adaptive Patchwork: Real-Time Ground Segmentation for 3D Point Cloud With Adaptive Partitioning and Spatial-Temporal Context
    Hao Ren, Mingwei Wang, Wenpeng Li, Chen Liu, Mengli Zhang · 2023 · IEEE Robotics and Automation Letters
  75. A Click-Based Interactive Segmentation Network for Point Clouds
    Wentao Sun, Zhipeng Luo, Yiping Chen, Huxiong Li, José Marcato, Wesley Nunes Gonçalves, Jonathan Li · 2023 · IEEE Transactions on Geoscience and Remote Sensing
  76. CUS3D: A New Comprehensive Urban-Scale Semantic-Segmentation 3D Benchmark Dataset
    Lin Gao, Yu Liu, Xi Chen, Yuxiang Liu, Shen Yan, Maojun Zhang · 2024 · Remote Sensing
  77. Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
    Junsung Park, Kyungmin Kim, Hyunjung Shim · 2024 · Lecture notes in computer science
  78. Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review
    Yanzhao Yang, Jian Wang, Xinyu Guo, Xinyu Yang, Wei Qin · 2025 · IEEE Access
  79. Feature Extraction of Horizontal Plane and Optimization of 3-D LiDAR SLAM in Indoor Environments
    Shaohu Wang, Huijun Li, Tianyuan Miao, Zhenyu Gao, Aiguo Song · 2025 · IEEE Transactions on Instrumentation and Measurement
  80. Robust point cloud registration based on semantic iterative closest point algorithm
    Shao-Yi Du, Tiancheng Shao, Canhui Tang, Wei Zeng, Zhi-Qiang Tian · 2025 · Fundamental Research
  81. SGT-LLC: LiDAR Loop Closing Based on Semantic Graph With Triangular Spatial Topology
    Shaocong Wang, Fengkui Cao, Ting Wang, Xieyuanli Chen, Shiliang Shao · 2025 · IEEE Robotics and Automation Letters
  82. Large-Scale Point Cloud Semantic Segmentation with Density-Based Grid Decimation
    Liangcun Jiang, Jiacheng Ma, Han Qing Zhou, Boyi Shangguan, Hongyu Xiao, Zeqiang Chen · 2025 · ISPRS International Journal of Geo-Information
  83. PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal
    Jiwon Choi, Dongjin Cho, Gihyeon Lee, Hogyun Kim, Geonmo Yang, Joo-Wan Kim, Younggun Cho · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  84. Automating digitalization of engineered slopes to support interactive digital twin visualization
    Yunhong Lv, Yuanen Pang, Luyu Ju, Weifan Xu, Zhaolun Liang, Jian He, Limin M. Zhang · 2025 · Automation in Construction
  85. LiDAR-Based SLAM under Semantic Constraints in Dynamic Environments
    Weiqi Wang, Xiong You, Xin Zhang, Lingyu Chen, Lantian Zhang, Xu Liu · 2021 · Remote Sensing
  86. A spatially enhanced network with camera-lidar fusion for 3D semantic segmentation
    Chao Ye, Huihui Pan, Xinghu Yu, Huijun Gao · 2021 · Neurocomputing
  87. Self-supervised monocular Depth estimation with multi-scale structure similarity loss
    Chenggong Han, Deqiang Cheng, Qiqi Kou, Xiaoyi Wang, Liangliang Chen, Jiamin Zhao · 2022 · Multimedia Tools and Applications
  88. Evaluation of Class Distribution and Class Combinations on Semantic Segmentation of 3D Point Clouds With PointNet
    Eike Barnefske, Harald Sternberg · 2022 · IEEE Access
  89. Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data
    Elena Camuffo, Simone Milani · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  90. 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation
    Laurenz Reichardt, Nikolas Ebert, Oliver Wasenmüller · 2023 · IEEE International Conference on Computer Vision Workshops
  91. SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
    Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit‐Yan Yeung, Lu Fang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  92. Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis
    Yuwei Yang, Munawar Hayat, Jin Zhao, Hongyuan Zhu, Yinjie Lei · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  93. Similar but Different: A Survey of Ground Segmentation and Traversability Estimation for Terrestrial Robots
    Hyungtae Lim, Minho Oh, Seungjae Lee, Seunguk Ahn, Hyun Myung · 2024 · International Journal of Control Automation and Systems
  94. SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
    Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  95. GeoAuxNet: Towards Universal 3D Representation Learning for Multi-Sensor Point Clouds
    Shengjun Zhang, Fei Xin, Yueqi Duan · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  96. 4D Contrastive Superflows are Dense 3D Representation Learners
    Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu · 2024 · Lecture notes in computer science
  97. 3D Lidar Point Cloud Segmentation for Automated Driving
    Rashid Abbasi, Ali Kashif Bashir, Amjad Ur Rehman, Yuan Ge · 2024 · IEEE Intelligent Transportation Systems Magazine
  98. DeLA: An extremely faster network with decoupled local aggregation for large scale point cloud learning
    Weikang Yang, Xinghao Lu, Binjie Chen, Chenlu Lin, Xueye Bao, Weiquan Liu, Yu Zang, Jinhui Xu, Cheng Wang · 2024 · International Journal of Applied Earth Observation and Geoinformation
  99. Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests
    Haedam Oh, Nived Chebrolu, Matías Mattamala, Leonard Freißmuth, Maurice F. Fallon · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  100. Point Cloud Annotation Methods for 3D Deep Learning
    Niall O’Mahony, Sean Campbell, Anderson Luiz De Carvalho, Lenka Krpálková, Daniel Riordan, Joseph Walsh · 2019 · International Conference on Sensing Technology