VirtualWorlds as Proxy for Multi-object Tracking Analysis

Gaidon, Adrien, Wang, Qiao, Cabon, Yohann, Vig, Eleonora·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,000)

Items 201–300 of 1,000

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  7. IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving
    Emanuele Alberti, Antonio Tavera, Carlo Masone, Barbara Caputo B · 2020 · IEEE Robotics and Automation Letters
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  9. Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
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  10. Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels
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  11. A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors
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  12. Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam
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  13. A survey on RGB-D datasets
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  14. Learning to Map Vehicles into Bird’s Eye View
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  16. Learning Driving Models From Parallel End-to-End Driving Data Set
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    Xiaotian Chen, Yuwang Wang, Xuejin Chen, Wenjun Zeng · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  19. A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling
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  20. Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
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  21. Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning
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  22. Superpoint Network for Point Cloud Oversegmentation
    Le Hui, Yuan Jia, Mingmei Cheng, Jin Xie, Xiaoya Zhang, Jian Jun Yang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  23. Cross-task Attention Mechanism for Dense Multi-task Learning
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  24. VALID: A Comprehensive Virtual Aerial Image Dataset
    Lyujie Chen, Feng Liu, Yan Zhao, Wufan Wang, Xiaming Yuan, Jihong Zhu · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  25. ParallelEye Pipeline: An Effective Method to Synthesize Images for Improving the Visual Intelligence of Intelligent Vehicles
    Xuan Li, Kunfeng Wang, Xianfeng David Gu, Fang Yi Deng, Fei–Yue Wang · 2023 · IEEE Transactions on Systems Man and Cybernetics Systems
  26. Incorporating physics into data-driven computer vision
    Achuta Kadambi, Celso de Melo, Cho‐Jui Hsieh, Mani B. Srivastava, Stefano Soatto · 2023 · Nature Machine Intelligence
  27. Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision
    Namil Kim, Yukyung Choi, Soonmin Hwang, In So Kweon · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
  28. Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping
    Danai Triantafyllidou, Seán Moran, Steven McDonagh, Sarah Parisot, Greg Slabaugh · 2020 · Lecture notes in computer science
  29. Detection and tracking for the awareness of surroundings of a ship based on deep learning
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    Ali Rida Sahili, Saifeldin A. Hassan, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf, Bilal Arain, Tarek Taha · 2023 · IEEE Access
  31. Semantic Segmentation of Video Sequences with Convolutional LSTMs
    Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer · 2019 · IEEE Intelligent Vehicles Symposium
  32. Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
    Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Jiangong Wang, Tianyu Shen, Yonglin Tian, Yutong Wang, Chao Gou, Xiao Wang, Fei Yao, Changyin Sun · 2022 · IEEE Transactions on Intelligent Vehicles
  34. Neural Network Generalization: The Impact of Camera Parameters
    Zhenyi Liu, Trisha Lian, Joyce Farrell, Brian A. Wandell · 2020 · IEEE Access
  35. DESC: Domain Adaptation for Depth Estimation via Semantic Consistency
    Adrian Lopez-Rodriguez, Krystian Mikolajczyk · 2022 · International Journal of Computer Vision
  36. Learning To Simulate
    Nataniel Ruiz, Samuel Schulter, Manmohan Krishna Chandraker · 2018 · arXiv (Cornell University)
  37. Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency
    Chongzhen Zhang, Yang Shan Tang, Chaoqiang Zhao, Qiyu Sun, Zhencheng Ye, Jürgen Kurths · 2021 · IEEE Transactions on Neural Networks and Learning Systems
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  39. Indoor Synthetic Data Generation: A Systematic Review
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    Kevin M. Judd, Jonathan D. Gammell · 2019 · IEEE Robotics and Automation Letters
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    Testolina, Paolo, Barbato, Francesco, Michieli, Umberto, Giordani, Marco, Zanuttigh, Pietro, Zorzi, Michele · 2023 · IEEE Transactions on Intelligent Transportation Systems
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    Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris Kitani, Takeo Kanade A · 2018 · International Journal of Computer Vision
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    Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean‐Philippe Thiran · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
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  46. Depth Completion via Deep Basis Fitting
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  49. Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion
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  54. Multiobject Tracking in Videos Based on LSTM and Deep Reinforcement Learning
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  55. Online Depth Learning Against Forgetting in Monocular Videos
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  56. Empty Cities: A Dynamic-Object-Invariant Space for Visual SLAM
    Berta Bescos, César Cadena, José Neira · 2020 · IEEE Transactions on Robotics
  57. SGSR-Net: Structure Semantics Guided LiDAR Super-Resolution Network for Indoor LiDAR SLAM
    Chi Chen, Ang Jin, Zhiye Wang, Yongwei Zheng, Bisheng Yang, Jian Yi Zhou, Yuhang Xu, Zhigang Tu · 2023 · IEEE Transactions on Multimedia
  58. SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
    René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker · 2018 · IEEE Winter Conference on Applications of Computer Vision
  59. Visual-Inertial Navigation Algorithm Development Using Photorealistic Camera Simulation in the Loop
    Thomas Sayre-Mccord, Winter Guerra, Amado Antonini, Jasper Arneberg, Austin Brown, G. Cavalheiro, Ya-Jun Fang, A. Gorodetsky, Dave McCoy, Sebastian Quilter et al. · 2018 · IEEE International Conference on Robotics and Automation
  60. Geometric Unsupervised Domain Adaptation for Semantic Segmentation
    Vitor Guizilini, Jie Li, Rareş Ambruş, Adrien Gaidon · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  61. A Semantic Slam-Based Dense Mapping Approach for Large-Scale Dynamic Outdoor Environment
    Linjie Yang, Luping Wang · 2022 · Measurement
  62. OIL: Observational Imitation Learning
    Guohao Li, Matthias F. Mueller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem · 2019 · Robotics: Science and Systems
  63. RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect
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  64. Learning to Predict Lidar Intensities
    Patrik Vacek, Otakar Jasek, Karel Zimmermann, Tomáš Svoboda · 2021 · IEEE Transactions on Intelligent Transportation Systems
  65. FADA: Feature Aligned Domain Adaptive Object Detection in Remote Sensing Imagery
    Tao Xu, Xian Sun, Wenhui Diao, Liangjin Zhao, Kun Fu, Hongqi Wang · 2022 · IEEE Transactions on Geoscience and Remote Sensing
  66. SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction
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  67. On the Crossroad of Artificial Intelligence: A Revisit to Alan Turing and Norbert Wiener
    Li Li, Nanning Zheng, Fei–Yue Wang · 2018 · IEEE Transactions on Cybernetics
  68. Continual Occlusion and Optical Flow Estimation
    Michal Neoral, Jan Šochman, Jiřı́ Matas · 2019 · Lecture notes in computer science
  69. NViSII: A Scriptable Tool for Photorealistic Image Generation
    Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan T. Birchfield, Valerio Pascucci, Ingo Wald · 2021 · arXiv (Cornell University)
  70. A Review of Applications of Artificial Intelligence in Heavy Duty Trucks
    Sasanka Katreddi, Sujan Phani Kumar Kasani, Arvind Thiruvengadam · 2022 · Energies
  71. Learning Multi-human Optical Flow
    Anurag Ranjan, David T. Hoffmann, Dimitrios Tzionas, Siyu Tang, Javier Romero, Michael J. Black · 2020 · International Journal of Computer Vision
  72. Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
    Tobias Scheck, Roman Seidel, Gangolf Hirtz · 2020 · IEEE Winter Conference on Applications of Computer Vision
  73. Accurate detection and 3D localization of humans using a novel YOLO-based RGB-D fusion approach and synthetic training data
    Timm Linder, Kilian Pfeiffer, Narunas Vaškevičius, Robert F. Schirmer, Kai O. Arras · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  74. A High-Throughput Photon Processing Technique for Range Extension of SPAD-Based LiDAR Receivers
    Sarrah M. Patanwala, István Gyöngy, Hanning Mai, Andreas Asmann, Neale A. W. Dutton, Bruce R. Rae, Robert Henderson · 2021 · IEEE Open Journal of the Solid-State Circuits Society
  75. 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
  76. Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level
    Sebastian Huch, Luca Scalerandi, Esteban Rivera, Markus Lienkamp · 2023 · IEEE Transactions on Intelligent Vehicles
  77. Geometric Image Synthesis
    Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother · 2019 · Lecture notes in computer science
  78. Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios
    Ignas Budvytis, Patrick Sauer, Thomas Roddick, Kesar Breen, Roberto Cipolla · 2017 · IEEE International Conference on Computer Vision Workshops
  79. The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
    Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof · 2020 · IEEE Winter Conference on Applications of Computer Vision
  80. Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data
    Celso M. de Melo, Brandon Rothrock, Prudhvi K. Gurram, Oytun Ulutan, Bangalore S Manjunath · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  81. PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
    Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  82. Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues
    Renato Martins, Dhiego Bersan, Mário F. M. Campos, Erickson R. Nascimento · 2020 · Journal of Intelligent & Robotic Systems
  83. Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows.
    Jin Fang, Feilong Yan, Tongtong Zhao, Feihu Zhang, Dingfu Zhou, Ruigang Yang, Yu Ma, Liang Wang · 2018 · arXiv (Cornell University)
  84. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey
    Nannan Qin, Weikai Tan, Haiyan Guan, Lanying Wang, Lingfei Ma, Pengjie Tao, Sarah Narges Fatholahi, Xiangyun Hu, Jonathan Li · 2023 · International Journal of Applied Earth Observation and Geoinformation
  85. Putting Image Manipulations in Context: Robustness Testing for Safe Perception
    Zachary A. Pezzementi, Trenton Tabor, Samuel Yim, Jonathan Chang, Bill Drozd, David Guttendorf, Michael Wagner, Philip John Koopman · 2018 · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
  86. Flash Photography for Data-Driven Hidden Scene Recovery
    Matthew Tancik, Guy Satat, Ramesh Raskar · 2018 · arXiv (Cornell University)
  87. Digital Twin-Based Hydrogen Refueling Station (HRS) Safety Model: CNN-Based Decision-Making and 3D Simulation
    Na Hyeon An, Jung Hyun Yang, Eunyong Song, Sung-Ho Hwang, Hyung‐Gi Byun, Sanguk Park · 2024 · Sustainability
  88. A hybrid image dataset toward bridging the gap between real and simulation environments for robotics
    Ertuğrul Bayraktar, Cihat Bora Yiğit, Pınar Boyraz · 2018 · Machine Vision and Applications
  89. Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer
    Amir Atapour–Abarghouei, Samet Akçay, Grégoire Payen de La Garanderie, Toby P. Breckon · 2019 · Pattern Recognition
  90. Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
    Adrian Lopez-Rodriguez, Benjamin Busam, Krystian Mikolajczyk · 2021 · Lecture notes in computer science
  91. DLOW: Domain Flow and Applications
    Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool · 2021 · International Journal of Computer Vision
  92. RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos
    Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan, Guiming Luo, Shuaicheng Liu · 2022 · Lecture notes in computer science
  93. Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
    Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer · 2019 · International Conference on 3D Vision (3DV)
  94. Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset
    Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Åke Hanson, Mårten Björkman, Atsuto Maki · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  95. A Tachograph-Based Approach to Restoring Accident Scenarios From the Vehicle Perspective for Autonomous Vehicle Testing
    Jian Wu Zhao, Wenxu Li, Bing Zhu, Peixing Zhang, Rui Tang · 2025 · IEEE Transactions on Intelligent Transportation Systems
  96. SLAMANTIC - Leveraging Semantics to Improve VSLAM in Dynamic Environments
    Matthias Schörghuber, Daniel Steininger, Yohann Cabon, Martin Humenberger, Margrit Gelautz · 2019 · IEEE International Conference on Computer Vision Workshops
  97. Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
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  98. Boosting Instance Segmentation with Synthetic Data: A study to overcome the limits of real world data sets
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  99. Transferability Metrics for Selecting Source Model Ensembles
    Andrea Agostinelli, Jasper Uijlings, Thomas Mensink, Vittorio Ferrari · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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