Unsupervised feature learning for 3D scene labeling

Cited by (317)

Items 101–200 of 317

1. Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling
   Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, Tat‐Jen Cham · 2015 · IEEE Transactions on Image Processing
2. Learning Hierarchical Semantic Segmentations of LIDAR Data
   David Dohan, Brian Matejek, Thomas A. Funkhouser · 2015 · International Conference on 3D Vision (3DV)
3. Saliency-based object discovery on RGB-D data with a late-fusion approach
   Germán Martín García, Ekaterina Potapova, Thomas Artur Werner, Michael Zillich, Markus Vincze, Simone Frintrop · 2015 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
4. Incremental scene understanding on dense SLAM
   Chi Li, Han Xiao, Keisuke Tateno, Federico Tombari, Nassir Navab, Gregory D. Hager · 2016 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
5. Real-Time Fully Incremental Scene Understanding on Mobile Platforms
   Johanna Wald, Keisuke Tateno, Jürgen Sturm, Nassir Navab, Federico Tombari · 2018 · IEEE Robotics and Automation Letters
6. Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory
   Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer Buckminster Fuller, Amit Ranjan Trivedi · 2021 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
7. The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures
   Atabak Dehban, João Borrego, Rui Pimentel de Figueiredo, Plínio Moreno, Alexandre J. M. Bernardino, José Santos-Victor · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
8. A survey on indoor 3D modeling and applications via RGB-D devices
   Zhilu Yuan, You Li, Shengjun Tang, Ming Li, Renzhong Guo, Weixi Wang · 2021 · Frontiers of Information Technology & Electronic Engineering
9. Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition
   Mohammad Reza Loghmani, Luca Robbiano, Mirco Planamente, Kiru Park, Barbara Caputo B, Markus Vincze · 2020 · IEEE Robotics and Automation Letters
10. Holistic Scene Recognition through U-Net Semantic Segmentation and CNN
    Aysha Naseer, Ahmad Jalal · 2024 · International Conference on Emerging Technologies
11. Color correction and restoration based on multi-scale recursive network for underwater optical image
    Yifan Huang, Manyu Liu, Fei Yuan · 2021 · Signal Processing Image Communication
12. Locating 3D Object Proposals: A Depth-Based Online Approach
    R. Pahwa, Jiang-Bo Lu, Nian-Juan Jiang, T. Ng, M. Do · 2017 · IEEE transactions on circuits and systems for video technology (Print)
13. Large-Scale Supervised Learning For 3D Point Cloud Labeling: Semantic3d.Net
    Timo Häckel, Jan Dirk Wegner, Nikolay Savinov, Ľubor Ladický, Konrad Schindler B, Marc Pollefeys · 2018 · Photogrammetric Engineering & Remote Sensing
14. Semantic mapping techniques for indoor mobile robots: Review and prospect
    Song Xu, Xuan Liang, Zhou Huaidong · 2024 · Measurement and Control
15. Meaningful maps with object-oriented semantic mapping
    Niko Sünderhauf, Trung Thanh Pham, Yasir Latif, Michael John Milford, Ian D. Reid · 2017 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
16. 3DSymm: Robust and Accurate 3D Reflection Symmetry Detection
    R. Nagar, S. Raman · 2020 · Pattern Recognition
17. Unsupervised Learning of Local Equivariant Descriptors for Point Clouds
    Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
18. QISO-SLAM: Object-Oriented SLAM Using Dual Quadrics as Landmarks Based on Instance Segmentation
    Yutong Wang, Bin Xu, Wei Fan, Changle Xiang · 2023 · IEEE Robotics and Automation Letters
19. Compositional and Scalable Object SLAM
    Akash Sharma, Wei Dong, Michael Kaess · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
20. Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery
    Amir Atapour–Abarghouei, Grégoire Payen de La Garanderie, Toby P. Breckon · 2016 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
21. RGB-D DSO: Direct Sparse Odometry With RGB-D Cameras for Indoor Scenes
    Zikang Yuan, Ken Cheng, Jinhui Tang, Xin Yan Yang · 2021 · IEEE Transactions on Multimedia
22. The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review
    Jianghong Zhao, Yinrui Wang, Yuee Cao, Ming Guo, Xianfeng Huang, Ruiju Zhang, Xintong Dou, Xinyu Niu, Yuanyuan Cui, Jun Wang · 2021 · Remote Sensing
23. Interactive affordance map building for a robotic task
    David Inkyu Kim, Gaurav S. Sukhatme · 2015 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
24. Surface-Based Detection and 6-DoF Pose Estimation of 3-D Objects in Cluttered Scenes
    Zhou Teng, Jing Xiao · 2016 · IEEE Transactions on Robotics
25. Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition
    Hasan Firdaus Mohd Zaki, Faisal Shafait B, Ajmal Saeed Mian · 2017 · Robotics and Autonomous Systems
26. Centralized RANSAC-Based Point Cloud Registration With Fast Convergence and High Accuracy
    Kuo‐Liang Chung, Wei-Tai Chang · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
27. Self-Supervised Learning of the Drivable Area for Autonomous Vehicles
    Jakob Mayr, Christian Unger, Federico Tombari · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
28. Three-Dimensional Point Cloud Object Detection Using Scene Appearance Consistency Among Multi-View Projection Directions
    Daisuke Sugimura, Tomoaki Yamazaki, Takayuki Hamamoto · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
29. Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition
    Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
30. ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
    Junhao Lin, Lei Zhu, Jiaxing Shen, Huazhu Fu, Qing Zhang, Liansheng Wang · 2024 · International Journal of Computer Vision
31. Learning to Reconstruct 3D Structures for Occupancy Mapping
    Vitor Guizilini, Fabio Tozeto Ramos · 2017 · Robotics: Science and Systems
32. Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy
    Yu-Xin Zhang, Jie Gui, Baosheng Yu, Xiaofeng Cong, Xin Gong, Wenbin Tao, Dacheng Tao · 2026 · International Journal of Computer Vision
33. Multimodal Deep Learning Framework for Enhanced Semantic Scene Classification Using RGB-D Images
    Aysha Naseer, Ahmad Jalal · 2025 · International Conference on Advancements in Computational Sciences (ICACS)
34. A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
    Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong‐Jin Liu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
35. A Large-Scale 3D Object Recognition Dataset
    Thomas Sølund, Anders Glent Buch, Norbert Krüger, Henrik Aanæs · 2016 · International Conference on 3D Vision (3DV)
36. Exploration for Object Mapping Guided by Environmental Semantics using UAVs
    Reem Ashour, Tarek Taha, Jorge M.M. Dias, Lakmal D. Seneviratne, Nawaf I. Almoosa · 2020 · Remote Sensing
37. Semantic Object Selection and Detection for Diminished Reality Based on SLAM with Viewpoint Class
    Yoshikatsu Nakajima, Shohei Mori, Hideo Saitô · 2017 · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR
38. Semi-Automatic Dataset Generation for Object Detection and Recognition and its Evaluation on Domestic Service Robots
    Yutaro Ishida, Hakaru Tamukoh · 2020 · Journal of Robotics and Mechatronics
39. Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing
    Windo Hutabarat, John Oluwagbemiga Oyekan, Christopher J. Turner, Ashutosh Tiwari, Neha Prajapat, Xiao-Peng Gan, Anthony Waller · 2016 · Winter Simulation Conference
40. Online Semantic Object Segmentation for Vision Robot Collected Video
    Kunqian Li, Wenbing Tao, Liman Liu · 2019 · IEEE Access
41. Structured Global Registration of RGB-D Scans in Indoor Environments.
    Maciej Halber, Thomas A. Funkhouser · 2016 · arXiv (Cornell University)
42. SQ-SLAM: Monocular Semantic SLAM Based on Superquadric Object Representation
    Han Xiao, Lu Yang · 2023 · Journal of Intelligent & Robotic Systems
43. Lightweight, Uncertainty-Aware Conformalized Visual Odometry
    Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
44. Simultaneous Localization and Mapping Related Datasets: A Comprehensive Survey
    Yuanzhi Liu, Yujia Fu, Fengdong Chen, Bart Goossens, Wei Tao, Hui Zhao · 2021 · arXiv (Cornell University)
45. An Integrated Fast Hough Transform for Multidimensional Data
    Yanhui Li, Xiangchao Gan · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
46. Self-Supervised Drivable Area Segmentation Using LiDAR's Depth Information for Autonomous Driving
    Fulong Ma, Yang Liu, Sheng Wang, Jin Wu, Weiqing Qi, Ming Liu · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
47. Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
    Timo Häckel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler B · 2020 · International Journal of Computer Vision
48. Deep Learning Based Point Cloud Processing Techniques
    Abdurrahman Hazer, Remzi Yıldırım · 2022 · IEEE Access
49. Real Time Indoor 3D Pipeline for an Advanced Sensory Substitution Device
    Anca Morar, Florica Moldoveanu, Lucian Petrescu, Alin Dragos Bogdan Moldoveanu · 2017 · Lecture notes in computer science
50. 3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes
    Yiran Zhong, Yuchao Dai, Hongdong Li · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
51. 3DTNet: Learning Local Features Using 2D and 3D Cues
    Xiaoxia Xing, Yinghao Cai, Tao Lu, Shaojun Cai, Yiping Yang, Dayong Wen · 2018 · International Conference on 3D Vision (3DV)
52. OLT: A Toolkit for Object Labeling applied to robotic RGB-D datasets
    José-Raúl Ruiz-Sarmiento, Cipriano Galindo, Javier González-Jiménez · 2015 · European Conference on Mobile Robots
53. RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
    Changjiang Cai, Pan Ji, Qingan Yan, Yi Xu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
54. Persistent Homology Meets Object Unity: Object Recognition in Clutter
    Ekta U. Samani, Ashis Gopal Banerjee · 2023 · IEEE Transactions on Robotics
55. Multi-class indoor semantic segmentation with deep structured model
    Chuanxia Zheng, Jianhua Wang, Weihai Chen, Xingming Wu · 2017 · The Visual Computer
56. Review of deep learning-based segmentation methods: Popular approaches, literature gaps, and opportunities
    Muhammed ÇELİK, Özkan İni̇k · 2025 · Displays
57. Energy-Based Multi-plane Detection from 3D Point Clouds
    Liang Wang, Chao Shen, Fuqing Duan, Ping Guo · 2016 · Lecture notes in computer science
58. Sparse Dictionary Learning for Identifying Grasp Locations
    Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa · 2017 · IEEE Winter Conference on Applications of Computer Vision
59. Simultaneous dense scene reconstruction and object labeling
    Umar Asif, Mohammed Bennamoun, Ferdous Ahmed Sohel · 2016 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
60. Generating Underwater Images by GANs and Similarity Measurement
    Manyu Liu, Fei Yuan, Yi Zhu, En Cheng · 2018 · MTS/IEEE OCEANS Conference (OCEANS)
61. Efficient Single Correspondence Voting for Point Cloud Registration
    Xuejun Xing, Zhengda Lu, Yiqun Wang, Jun Xiao · 2024 · IEEE Transactions on Image Processing
62. SkiMap++: Real-Time Mapping and Object Recognition for Robotics
    Daniele De Gregorio, Tommaso Cavallari, Luigi Di Stefano · 2017 · IEEE International Conference on Computer Vision Workshops
63. Context-Assisted 3D (C3D) Object Detection from RGB-D Images
    Yuzhuo Ren, Chen Chen, Shangwen Li, C.‐C. Jay Kuo · 2018 · Journal of Visual Communication and Image Representation
64. Estimating Motion Uncertainty with Bayesian ICP
    Fahira Afzal Maken, F. Ramos, Lionel Ott · 2020 · IEEE International Conference on Robotics and Automation
65. Modeling 2D Appearance Evolution for 3D Object Categorization
    Hasan Firdaus Mohd Zaki, Faisal Shafait B, Ajmal Saeed Mian · 2016 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
66. Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing
    Windo Hutabarat, John Oluwagbemiga Oyekan, Christopher J. Turner, Ashutosh Tiwari, Neha Prajapat, Xiao-Peng Gan, Anthony Waller · 2017 · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
67. Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
    Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Jun Yang · 2024 · Lecture notes in computer science
68. A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data
    Adedotun Akintayo, Soumik Sarkar · 2015 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
69. Discriminative bit selection hashing in RGB-D based object recognition for robot vision
    Lin Feng, Yang Liu, Zan Li, Meng Zhang, Feilong Wang, Shenglan Liu · 2018 · Assembly Automation
70. Fast Generation of High-Fidelity RGB-D Images by Deep Learning With Adaptive Convolution
    Chuhua Xian, Dongjiu Zhang, Chengkai Dai, Charlie C. L. Wang · 2020 · IEEE Transactions on Automation Science and Engineering
71. Tracking objects using 3D object proposals
    Ramanpreet Singh Pahwa, Tian-Tsong Ng, Minh N. Do · 2017 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
72. [POSTER] Decision Forest For Efficient and Robust Camera Relocalization
    Amine Kacete, Thomas Wentz, Jérôme Royan · 2017 · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR
73. Conformalized Multimodal Uncertainty Regression and Reasoning
    Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
74. Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications
    Mohit Vohra, Ravi Prakash, Laxmidhar Behera · 2021 · International Conference on Informatics in Control, Automation and Robotics (ICINCO)
75. Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability
    Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi · 2021 · Design, Automation, and Test in Europe
76. KdO-Net: Towards Improving the Efficiency of Deep Convolutional Neural Networks Applied in the 3D Pairwise Point Feature Matching
    Rui Zhang, Guangyun Li, Wolfgang Wiedemann, Christoph Holst · 2022 · Remote Sensing
77. Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies
    Priyesh Shukla, S. Sureshkumar, Alex C. Stutts, Sathya N. Ravi, Theja Tulabandhula, Amit Ranjan Trivedi · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
78. Object-aware Semantic Mapping of Indoor Scenes using Octomap
    Kaijian Liu, Zhen Fan, Meiqin Liu, Senlin Zhang · 2019 · Chinese Control Conference (CCC)
79. 基于最小平方中值的点云平面拟合算法
    王洋 Wang Yang, 王俊元 Wang Junyuan, 杜文华, 段能全 Duan Nengquan · 2023 · Laser & Optoelectronics Progress
80. From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation
    Galadrielle Humblot-Renaux, Simon Buus Jensen, Andreas Møgelmose · 2023 · Remote Sensing
81. Large scale and long standing simultaneous reconstruction and segmentation
    Keisuke Tateno, Federico Tombari, Nassir Navab · 2016 · Computer Vision and Image Understanding
82. Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration
    Anan Du, Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu · 2019 · Proceedings - International Conference on Image Processing
83. Efficient Depth Data Coding Method Based on Plane Modeling for Intra Prediction
    Dong-Seok Lee, Byung‐Gyu Kim, Soon-kak Kwon · 2021 · IEEE Access
84. Learning Virtual View Selection for 3D Scene Semantic Segmentation
    Tai‐Jiang Mu, Ming-Yuan Shen, Yu‐Kun Lai, Shi‐Min Hu · 2024 · IEEE Transactions on Image Processing
85. Robust-DefReg: a robust coarse to fine non-rigid point cloud registration method based on graph convolutional neural networks
    Sara Monji-Azad, Marvin Kinz, David Männel, Claudia Scherl, Jürgen Hesser · 2024 · Measurement Science and Technology
86. Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps
    Vitor Guizilini, Fabio Tozeto Ramos · 2017 · Proceedings of the AAAI Conference on Artificial Intelligence
87. A Frame-work assisting the Visually Impaired People: Common Object Detection and Pose Estimation in Surrounding Environment
    Van-Hung Le, Hai Vu, Thuy Thi Nguyen · 2018 · NAFOSTED Conference on Information and Computer Science (NICS)
88. Deep learning-based 3D local feature descriptor from Mercator projections
    Masoumeh Rezaei, Mehdi Rezaeian, Vali Derhami, Ferdous Ahmed Sohel, Mohammed Bennamoun · 2019 · Computer Aided Geometric Design
89. Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks
    Hao Jiang, Siqi Wang, Huikun Bi, Xiaolei Lv, Binqiang Zhao, Zheng Wang, Zhao‐Qi Wang · 2021 · Proceedings of the ACM on Computer Graphics and Interactive Techniques
90. Review of Research on Multi-robot Visual Simultaneous Localization and Mapping
    YIN Hesheng, Pei Shuo, Lei Xu, Huang Bo · 2022 · Journal of Mechanical Engineering
91. Planelets—A Piecewise Linear Fractional Model for Preserving Scene Geometry in Intra-Coding of Indoor Depth Images
    Vahid Kiani, Ahad Harati, Abedin Vahedian · 2016 · IEEE Transactions on Image Processing
92. Discovering Correspondence Among Image Sets with Projection View Preservation For 3D Object Detection in Point Clouds
    Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
93. Incremental multi-view object detection from a moving camera
    Takashi Konno, Ayako Amma, Asako Kanezaki · 2021 · ACM International Conference on Multimedia in Asia (MMAsia)
94. PointCaps: Raw point cloud processing using capsule networks with Euclidean distance routing
    Dishanika Denipitiyage, Vinoj Jayasundara, Ranga P. Rodrigo, Chamira U. S. Edussooriya · 2022 · Journal of Visual Communication and Image Representation
95. Deep point-based scene labeling with depth mapping and geometric patch feature encoding
    Jun-Xiong Cai, Tai‐Jiang Mu, Yu‐Kun Lai, Shi‐Min Hu · 2019 · Graphical Models
96. Object Proposal Algorithms in the Wild: Are they Generalizable to Robot Perception?
    Darren M. Chan, Laurel D. Riek · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
97. Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
    Timo Häckel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler B · 2019 · Lecture notes in computer science
98. EA-EDNet: encapsulated attention encoder-decoder network for 3D reconstruction in low-light-level environment
    Yulin Deng, Liju Yin, Xiaoning Gao, Hui Min Zhou, Zhenzhou Wang, Guofeng Zou · 2023 · Multimedia Systems
99. Reconstruction of 3D Pose for Surfaces of Revolution from Range Data
    Georgios Pavlakos, Kostas Daniilidis · 2015 · International Conference on 3D Vision (3DV)
100. Surface Recovery: Fusion of Image and Point Cloud
     Siavash Hosseinyalamdary, Alper Yılmaz · 2015 · IEEE International Conference on Computer Vision Workshops