Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Cited by (576)

Items 101–200 of 576

1. A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning
   Sabera Hoque, Md. Yasir Arafat, Shuxiang Xu, Ananda Maiti, Yu-Chen Wei · 2021 · IEEE Access
2. Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for 3D Object Detection
   Wang, Zining, Zhan, Wei, Tomizuka, Masayoshi · 2018 · 2018 IEEE Intelligent Vehicles Symposium (IV)
3. Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
   Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer · 2019 · IEEE Intelligent Vehicles Symposium
4. 3D convolutional neural network for object recognition: a review
   Rahul Dev Singh, Ajay Mittal, Rajesh Kumar Bhatia · 2018 · Multimedia Tools and Applications
5. Application of Laser Systems for Detection and Ranging in the Modern Road Transportation and Maritime Sector
   Nikola Lopac, Irena Jurdana, Adrian Brnelić, Tomislav Krljan · 2022 · Sensors
6. DepthCN: Vehicle detection using 3D-LIDAR and ConvNet
   Alireza Asvadi, Luís Garrote, Cristiano Premebida, Paulo Peixoto, Urbano Nunes · 2017 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
7. CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles
   N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
8. Survey on robotic systems for internal logistics
   Rodrigo M.C. Bernardo, João M. C. Sousa, Paulo J. S. Gonçalves · 2022 · Journal of Manufacturing Systems
9. Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
   N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
10. OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
    Bohao Peng, Xiaoyang Wu, Jiang Li, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
11. Lidar-based detection and tracking of small UAVs
    Marcus Hammer, Marcus Hebel, Michael Arens, Martin Laurenzis · 2018 · Emerging Imaging and Sensing Technologies for Security and Defence
12. Notice of Violation of IEEE Publication Principles: Recent Advances in 3D Object Detection in the Era of Deep Neural Networks: A Survey
    Mohammad Muntasir Rahman, Yanhao Tan, Jian Xue, Ke Lü · 2019 · IEEE Transactions on Image Processing
13. Realtime 3D Object Detection for Automated Driving Using Stereo Vision and Semantic Information
    Hendrik Königshof, Niels Ole Salscheider, Christoph Stiller · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
14. To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
    Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
15. Data Processing Approaches on SPAD-Based d-TOF LiDAR Systems: A Review
    Gongbo Chen, Christian Wiede, Rainer Kokozinski · 2020 · IEEE Sensors Journal
16. DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network
    Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro Porto Buarque de Gusmão, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
17. Scanet: Spatial-channel Attention Network for 3D Object Detection
    Lu, Haihua, Chen, Xuesong, Zhang, Guiying, Zhou, Qiuhao, Ma, Yanbo, Zhao, Yong · 2019 · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
18. CNN for very fast ground segmentation in velodyne LiDAR data
    Martin Veľas, Michal Španěl, Michal Hradiš, Adam Herout · 2018 · IEEE International Conference on Autonomous Robot Systems and Competitions
19. Machine Learning Assisted High-Definition Map Creation
    Jia-lin Jiao · 2018 · IEEE Annual International Computer Software and Applications Conference (COMPSAC)
20. Learning an Uncertainty-Aware Object Detector for Autonomous Driving
    Gregory P. Meyer, Niranjan Thakurdesai · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
21. Vulnerable objects detection for autonomous driving: A review
    Esraa Khatab, Ahmed Onsy, Martin Roy Varley, Ahmed A. Abouelfarag · 2021 · Integration
22. A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
    Lei Tai, Jingwei Zhang, Ming Liu, Joschka Boedecker, Wolfram Burgard · 2016 · arXiv (Cornell University)
23. LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR
    Minemura, Kazuki, Liau, Hengfui, Monrroy, Abraham, Kato, Shinpei · 2018 · 2018 3rd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)
24. 4D-Net for Learned Multi-Modal Alignment
    AJ Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
25. Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection
    Wenming Cao, Jian-He Yuan, Z. He, Zhi Zhang, Zhi-Quan He · 2018 · IEEE Access
26. OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios
    Lukas Schaupp, Mathias Bürki, Renaud Dubé, Roland Siegwart, César Cadena · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
27. Review on Vehicle Detection Technology for Unmanned Ground Vehicles
    Qi Liu, Zirui Li, Shihua Yuan, Yuzheng Zhu, Xueyuan Li · 2021 · Sensors
28. Toward autonomous mapping and exploration for mobile robots through deep supervised learning
    Shi Bai, Fanfei Chen, Brendan Englot · 2017 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
29. Deep semantic classification for 3D LiDAR data
    Dewan, Ayush, Oliveira, Gabriel L., Burgard, Wolfram · 2017 · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
30. LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
    Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
31. Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not.
    Lei Tai, Ming Liu · 2016 · arXiv (Cornell University)
32. Modeling Quality of IoT Experience in Autonomous Vehicles
    Minovski, Dimitar, Ahlund, Christer, Mitra, Karan · 2020 · IEEE Internet of Things Journal
33. 3D-LIDAR Based Object Detection and Tracking on the Edge of IoT for Railway Level Crossing
    Cristian Wisultschew, Gabriel Mujica, Jose M. Lanza-Gutiérrez, Jorge Portilla · 2021 · IEEE Access
34. MVMM: Multiview Multimodal 3-D Object Detection for Autonomous Driving
    Shangjie Li, Keke Geng, Guodong Yin, Ziwei Wang, Min Qian · 2023 · IEEE Transactions on Industrial Informatics
35. A robust pose graph approach for city scale LiDAR mapping
    Sheng Yong Yang, Xiaoling Zhu, Xing Nian, Lu Feng, Xiaozhi Qu, Teng Ma · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
36. Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training
    Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
37. Task-Driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System
    Kruttidipta Samal, Hemant Kumawat, Priyabrata Saha, Marilyn Wolf, Saibal Mukhopadhyay · 2021 · IEEE Transactions on Intelligent Vehicles
38. Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
    Andreas Pfeuffer, Klaus Dietmayer · 2018 · International Conference on Information Fusion (FUSION)
39. 3D object detection based on sparse convolution neural network and feature fusion for autonomous driving in smart cities
    Lei Wang, Xiaoyun Fan, Jiahao Chen, Jun Sheng Cheng, Jun Tan, Xiaoliang Ma · 2019 · Sustainable Cities and Society
40. Vehicle detection and localization on bird's eye view elevation images using convolutional neural network
    Shang-Lin Yu, Thomas Westfechtel, Ryunosuke Hamada, Kazunori Ohno, Satoshı Tadokoro · 2017 · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
41. DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes
    Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry Steven Davis, Alireza Fathi · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
42. RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation
    Zhidong Liang, Ming Zhang, Zehan Zhang, Xian Zhao, Shiliang Pu · 2020 · arXiv (Cornell University)
43. MME-YOLO: Multi-Sensor Multi-Level Enhanced YOLO for Robust Vehicle Detection in Traffic Surveillance
    Zhu, Jianxiao, Li, Xu, Jin, Peng, Xu, Qimin, Sun, Zhengliang, Song, Xiang · 2020 · Sensors
44. SEG-VoxelNet for 3D Vehicle Detection from RGB and LiDAR Data
    Jian Dou, Jianru Xue, Jianwu Fang · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
45. S3Net: 3D LiDAR Sparse Semantic Segmentation Network
    Ran Cheng, Ryan Razani, Yuan Ren, Liu Bingbing · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
46. Monocular 3D vehicle detection with multi-instance depth and geometry reasoning for autonomous driving
    Junning Zhang, Qunxing Su, Cheng Wang, Hong-qiang Gu · 2020 · Neurocomputing
47. A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling
    Jiashen Hua, Xiaojin Gong · 2018 · International Joint Conference on Artificial Intelligence
48. 3D-GIoU: 3D Generalized Intersection over Union for Object Detection in Point Cloud
    Jun Xu, Yanxin Ma, Songhua He, Jiahua Zhu · 2019 · Sensors
49. Robust Cognitive Capability in Autonomous Driving Using Sensor Fusion Techniques: A Survey
    Mehmood Nawaz, Jeff K. T. Tang, Khadija Bibi, Shunli Xiao, Ho‐Pui Ho, Wu Yuan · 2023 · IEEE Transactions on Intelligent Transportation Systems
50. Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation
    Christoph B. Rist, Markus Enzweiler, Dariu M. Gavrila · 2019 · IEEE Intelligent Vehicles Symposium
51. FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds
    Jie Na Zhou, Xin Tan, Zhiwen Shao, Lizhuang Ma · 2019 · International Congress on Image and Signal Processing (CISP)
52. Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
    Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti, Yaser P. Fallah, Rui Guo, Hongsheng Lu · 2020 · IEEE Vehicular Technology Conference
53. Three-Attention Mechanisms for One-Stage 3-D Object Detection Based on LiDAR and Camera
    Lihua Wen, Kang-Hyun Jo · 2021 · IEEE Transactions on Industrial Informatics
54. A comprehensive study on lane detecting autonomous car using computer vision
    Henil Gajjar, Stavan Sanyal, Manan Shah · 2023 · Expert Systems with Applications
55. 3D object detection for autonomous driving: Methods, models, sensors, data, and challenges
    Alireza Ghasemieh, Rasha F. Kashef · 2022 · Transportation Engineering
56. Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
    Siddharth Srivastava, Frédéric Jurie, Gaurav Sharma · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
57. Multi-View Frustum Pointnet for Object Detection in Autonomous Driving
    Pei Cao, Hao Chen, Ye Zhang, Gang Wang · 2019 · Proceedings - International Conference on Image Processing
58. The Importance of Prior Knowledge in Precise Multimodal Prediction
    Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
59. Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction
    Tianya Terry Zhang, Peter Jing Jin · 2022 · Journal of Advanced Transportation
60. Localization and Mapping for Self-Driving Vehicles: A Survey
    Anas Charroud, Karim El Moutaouakil, Vasile Palade, Ali Yahyaouy, Uche Onyekpe, Eyo Eyo · 2024 · Machines
61. Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey
    Kun Shi, Shibo He, Zhenyu Shi, Chen An-jun, Zehui Xiong, Jiming Chen, Jun Luo · 2025 · IEEE Communications Surveys & Tutorials
62. An integrated algorithm for ego-vehicle and obstacles state estimation for autonomous driving
    Mattia Bersani, Simone Mentasti, Pragyan Dahal, Stefano Arrigoni, Michele Vignati, Federico Cheli, Matteo Matteucci · 2020 · Robotics and Autonomous Systems
63. High Dimensional Frustum PointNet for 3D Object Detection from Camera, LiDAR, and Radar
    Leichen Wang, Tianbai Chen, Carsten Anklam, Bastian Goldlüecke · 2020 · IEEE Intelligent Vehicles Symposium
64. Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
    Xiaoyang Wu, Xin Wen, Xihui Liu, Hengshuang Zhao · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
65. PointConvFormer: Revenge of the Point-based Convolution
    Wenxuan Wu, Fuxin Li, Qi Shan · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
66. Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios
    Victor Vaquero, Iván del Pino, Francese Moreno-Noguer, Joan Solà, Alberto Sanfeliu, Juan Andrade‐Cetto · 2017 · European Conference on Mobile Robots
67. Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data
    Junxuan Zhao, Yinfeng Li, Hao Xu, Hongchao Liu · 2019 · IEEE Access
68. Range Adaptation for 3D Object Detection in LiDAR
    Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu · 2019 · IEEE International Conference on Computer Vision Workshops
69. Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss
    Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao · 2020 · IEEE Transactions on Neural Networks and Learning Systems
70. Multi-modal 3D object detection by 2D-guided precision anchor proposal and multi-layer fusion
    Yi Wu, Xiaoyan Jiang, Zhijun Fang, Yongbin Gao, Hamido Fujita · 2021 · Applied Soft Computing
71. BirdNet: A 3D Object Detection Framework from LiDAR Information
    Beltran, Jorge, Guindel, Carlos, Moreno, Francisco Miguel, Cruzado, Daniel, Garcia, Fernando, De La Escalera, Arturo · 2018 · 2018 21st International Conference on Intelligent Transportation Systems (ITSC)
72. Towards Realistic Scene Generation with LiDAR Diffusion Models
    Haoxi Ran, Vitor Guizilini, Yue Wang · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
73. Mapping with Dynamic-Object Probabilities Calculated from Single 3D Range Scans
    Philipp Ruchti, Wolfram Burgard · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
74. Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods
    Guang Chen, Fa Wang, Sanqing Qu, Kai Chen, Junwei Yu, Xiangyong Liu, Lu Xiong, Alois Knoll · 2020 · IEEE Transactions on Intelligent Transportation Systems
75. Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
    Ramin Nabati, Hairong Qi · 2020 · arXiv (Cornell University)
76. Vehicle Detection and Localization using 3D LIDAR Point Cloud and Image Semantic Segmentation
    Rafael Barea, Carlos Perez, Luis Miguel Bergasa, Elena López-Guillén, Eduardo Romera, Eduardo J. Molinos, Manuel Ocaña, Joaquín López · 2018 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
77. A Probability Occupancy Grid Based Approach for Real-Time LiDAR Ground Segmentation
    Zhongzhen Luo, Martin v. Mohrenschildt, Saeid R. Habibi · 2019 · IEEE Transactions on Intelligent Transportation Systems
78. MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
    Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
79. A Review on Driving Control Issues for Smart Electric Vehicles
    Tansu Sila Haque, Md. Hafizur Rahman, Md. Robiul Islam, Md. Abdur Razzak, Faisal Rahman Badal, Md. Hafiz Ahamed, Sumaya Ishrat Moyeen, Sajal K. Das, Md. Firoj Ali, Zinat Tasneem et al. · 2021 · IEEE Access
80. Cirrus: A Long-range Bi-pattern LiDAR Dataset
    Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane W. Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
81. RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective
    Chenxi Wang, Hongjie Fang, Hao-Shu Fang, Cewu Lu · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
82. Potential of lidar sensors for the detection of UAVs
    Marcus Hammer, Marcus Hebel, Björn Borgmann, Martin Laurenzis, Michael Arens · 2018 · Laser radar technology and applications. Conference
83. FPGA-based Architecture for a Low-Cost 3D Lidar Design and Implementation from Multiple Rotating 2D Lidars with ROS
    Jorge Peña Queralta, F. Yuhong, Lassi Salomaa, Qingqing Li, Tuan Nguyen Gia, Zhuo Zou, Hannu Tenhunen, Tomi Westerlund · 2019 · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ...
84. SAANet: Spatial adaptive alignment network for object detection in automatic driving
    Junying Chen, Tongyao Bai · 2020 · Image and Vision Computing
85. A Self-Driving Car Implementation using Computer Vision for Detection and Navigation
    Bhaskar Barua, Clarence Gomes, Shubham Baghe, Jignesh Sisodia · 2019 · International Conference on Intelligent Computing and Control Systems (ICICCS)
86. Dual-Branch CNNs for Vehicle Detection and Tracking on LiDAR Data
    Victor Vaquero, Iván del Pino, Francesc Moreno-Noguer, Joan Solà, Alberto Sanfeliu, Juan Andrade‐Cetto · 2020 · IEEE Transactions on Intelligent Transportation Systems
87. Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars
    Micaela Verucchi, Luca Bartoli, Fabio Bagni, Francesco Gatti, Paolo Burgio, Marko Bertogna · 2020 · IEEE International Conference on Robotic Computing (IRC)
88. A Novel Multi-Sensor Fusion Based Object Detection and Recognition Algorithm for Intelligent Assisted Driving
    Tianbi Liu, Shanshan Du, Chenchen Liang, Bo Zhang, Rui Feng · 2021 · IEEE Access
89. Deep multi-scale and multi-modal fusion for 3D object detection
    Rui Guo, Li Deng, Yahong Han · 2021 · Pattern Recognition Letters
90. 3D Vehicle Detection With RSU LiDAR for Autonomous Mine
    Guojun Wang, Jian Wu, Tong Xu, Bin Tian · 2021 · IEEE Transactions on Vehicular Technology
91. System, Design and Experimental Validation of Autonomous Vehicle in an Unconstrained Environment
    Shoaib Azam, Farzeen Munir, Ahmad Muqeem Sheri, Joonmo Kim, Moongu Jeon · 2020 · Sensors
92. Detailed Analysis on Generating the Range Image for LiDAR Point Cloud Processing
    Tao Wu, Hao Fu, Bokai Liu, Hanzhang Xue, Ruike Ren, Zhiming Tu · 2021 · Electronics
93. Unsupervised Object Detection with LiDAR Clues
    Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
94. A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction
    Mara Pistellato, Filippo Bergamasco, Andrea Torsello A, Francesco Barbariol, Jeseon Yoo, Jin‐Yong Jeong, Alvise Benetazzo · 2021 · Remote Sensing
95. 3D Vehicle Detection Using Multi-Level Fusion From Point Clouds and Images
    Kun Zhao, Lingfei Ma, Yu Meng, Li Liu, Junbo Wang, José Marcato, Wesley Nunes Gonçalves, Jonathan Li · 2022 · IEEE Transactions on Intelligent Transportation Systems
96. YOLO MDE: Object Detection with Monocular Depth Estimation
    Jongsub Yu, Hyukdoo Choi · 2021 · Electronics
97. 3D Point Cloud Processing and Learning for Autonomous Driving
    Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington · 2020 · arXiv (Cornell University)
98. MsSVT++: Mixed-Scale Sparse Voxel Transformer With Center Voting for 3D Object Detection
    Jianan Li, Shaocong Dong, Lihe Ding, Tingfa Xu · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
99. SurfConv: Bridging 3D and 2D Convolution for RGBD Images
    Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
100. SCNet: Subdivision Coding Network for Object Detection Based on 3D Point Cloud
     Zhiyu Wang, Hao Fu, Li Wang, Liang Xiao, Bin Dai · 2019 · IEEE Access