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A-D           E-I           J-Z           


E-I [rank]

    Expected Calibration Error (ECE) [11]
      Agro et al., "Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving", CVPR, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Agro_2023_CVPR,
            author = "Agro, Ben and Sykora, Quinlan and Casas, Sergio and Urtasun, Raquel",
            title = "Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving",
            booktitle = "CVPR",
            year = "2023"
        }
        
    Euclidean Distance (ED) [7]
      Li et al., "Egocentric Prediction of Action Target in 3D", CVPR, 2022. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Li_2022_CVPR_2,
            author = "Li, Yiming and Cao, Ziang and Liang, Andrew and Liang, Benjamin and Chen, Luoyao and Zhao, Hang and Feng, Chen",
            title = "Egocentric Prediction of Action Target in {3D}",
            booktitle = "CVPR",
            year = "2022"
        }
        
      Cheng et al., "Long-Term Trajectory Prediction of the Human Hand and Duration Estimation of the Human Action", RAL, 2022. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @ARTICLE{Cheng_Long_2022_RAL,
            author = "Cheng, Yujiao and Tomizuka, Masayoshi",
            journal = "RAL",
            title = "Long-Term Trajectory Prediction of the Human Hand and Duration Estimation of the Human Action",
            year = "2022",
            volume = "7",
            number = "1",
            pages = "247-254"
        }
        
      Qi et al., "Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation", CVPR, 2020. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Qi_2020_CVPR,
            author = "Qi, Mengshi and Qin, Jie and Wu, Yu and Yang, Yi",
            title = "Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation",
            booktitle = "CVPR",
            year = "2020"
        }
        
      Graves et al., "Perception As Prediction Using General Value Functions In Autonomous Driving Applications", IROS, 2019. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Graves_2019_IROS,
            author = "Graves, Daniel and Rezaee, Kasra and Scheideman, Sean",
            booktitle = "IROS",
            title = "Perception As Prediction Using General Value Functions In Autonomous Driving Applications",
            year = "2019"
        }
        
      Zapf et al., "Pedestrian Density Prediction For Efficient Mobile Robot Exploration", IROS, 2019. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Zapf_2019_IROS,
            author = "Zapf, Marc Patrick and Kawanabe, Motoaki and Morales Saiki, Luis Yoichi",
            booktitle = "IROS",
            title = "Pedestrian Density Prediction For Efficient Mobile Robot Exploration",
            year = "2019"
        }
        
    Earth Mover's Distance (EMD) [10]
      Chen et al., "Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks", CoRL, 2023. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Chen_2023_CoRL,
            author = "Chen, Haonan and Niu, Yilong and Hong, Kaiwen and Liu, Shuijing and Wang, Yixuan and Li, Yunzhu and Driggs-Campbell, Katherine Rose",
            title = "Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks",
            booktitle = "CoRL",
            year = "2023"
        }
        
      Weng et al., "S2Net: Stochastic Sequential Pointcloud Forecasting", ECCV, 2022. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Weng_2022_ECCV,
            author = "Weng, Xinshuo and Nan, Junyu and Lee, Kuan-Hui and McAllister, Rowan and Gaidon, Adrien and Rhinehart, Nicholas and Kitani, Kris M.",
            title = "{S2Net}: Stochastic Sequential Pointcloud Forecasting",
            booktitle = "ECCV",
            year = "2022"
        }
        
    End-Point Error (EPE) [8]
      Dong et al., "MemFlow: Optical Flow Estimation and Prediction with Memory", CVPR, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Dong_MemFlow_2024_CVPR,
            author = "Dong, Qiaole and Fu, Yanwei",
            title = "MemFlow: Optical Flow Estimation and Prediction with Memory",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Agro et al., "Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving", CVPR, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Agro_2023_CVPR,
            author = "Agro, Ben and Sykora, Quinlan and Casas, Sergio and Urtasun, Raquel",
            title = "Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving",
            booktitle = "CVPR",
            year = "2023"
        }
        
      Liu et al., "Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving", ICRA, 2023. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Liu_2023_ICRA,
            author = "Liu, Haochen and Huang, Zhiyu and Lv, Chen",
            title = "Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving",
            booktitle = "ICRA",
            year = "2023"
        }
        
      Jin et al., "Predicting Scene Parsing And Motion Dynamics In The Future", NeurIPS, 2017. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jin_2017_NeurIPS,
            author = "Jin, Xiaojie and Xiao, Huaxin and Shen, Xiaohui and Yang, Jimei and Lin, Zhe and Chen, Yunpeng and Jie, Zequn and Feng, Jiashi and Yan, Shuicheng",
            title = "Predicting Scene Parsing And Motion Dynamics In The Future",
            booktitle = "NeurIPS",
            year = "2017"
        }
        
    F1 [2]
      Li et al., "Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction", CVPR, 2023. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Li_2023_CVPR_1,
            author = "Li, Xiang and Qian, Xuelin and Liang, Litian and Kong, Lingjie and Dong, Qiaole and Chen, Jiejun and Liu, Dingxia and Yao, Xiuzhong and Fu, Yanwei",
            title = "Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction",
            booktitle = "CVPR",
            year = "2023"
        }
        
      Pan et al., "COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos", ICCV, 2023. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Pan_2023_ICCV,
            author = "Pan, Boxiao and Shen, Bokui and Rempe, Davis and Paschalidou, Despoina and Mo, Kaichun and Yang, Yanchao and Guibas, Leonidas J.",
            title = "COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos",
            booktitle = "ICCV",
            year = "2023"
        }
        
      Looper et al., "3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs", ICRA, 2023. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Looper_2023_ICRA,
            author = "Looper, Samuel and Rodriguez-Puigvert, Javier and Siegwart, Roland and Cadena, Cesar and Schmid, Lukas",
            title = "3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs",
            booktitle = "ICRA",
            year = "2023"
        }
        
      Sharma et al., "ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation", IROS, 2023. paper arxiv code
        Datasets Metrics
        Bibtex
        @INPROCEEDINGS{Sharma_2023_IROS,
            author = "Sharma, Vishnu D. and Chen, Jingxi and Tokekar, Pratap",
            booktitle = "IROS",
            title = "ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation",
            year = "2023"
        }
        
      Graber et al., "Joint Forecasting of Panoptic Segmentations With Difference Attention", CVPR, 2022. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Graber_2022_CVPR,
            author = "Graber, Colin and Jazra, Cyril and Luo, Wenjie and Gui, Liangyan and Schwing, Alexander G.",
            title = "Joint Forecasting of Panoptic Segmentations With Difference Attention",
            booktitle = "CVPR",
            year = "2022"
        }
        
      Jia et al., "Generative Adversarial Network for Future Hand Segmentation from Egocentric Video", ECCV, 2022. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Jia_2022_ECCV,
            author = "Jia, Wenqi and Liu, Miao and Rehg, James M.",
            title = "Generative Adversarial Network for Future Hand Segmentation from Egocentric Video",
            booktitle = "ECCV",
            year = "2022"
        }
        
      Khurana et al., "Differentiable Raycasting for Self-Supervised Occupancy Forecasting", ECCV, 2022. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Khurana_2022_ECCV,
            author = "Khurana, Tarasha and Hu, Peiyun and Dave, Achal and Ziglar, Jason and Held, David and Ramanan, Deva",
            title = "Differentiable Raycasting for Self-Supervised Occupancy Forecasting",
            booktitle = "ECCV",
            year = "2022"
        }
        
      Fobi et al., "Predicting Levels of Household Electricity Consumption in Low-Access Settings", WACV, 2022. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Fobi_2022_WACV,
            author = "Fobi, Simone and Mugyenyi, Joel and Williams, Nathaniel J. and Modi, Vijay and Taneja, Jay",
            title = "Predicting Levels of Household Electricity Consumption in Low-Access Settings",
            booktitle = "WACV",
            year = "2022"
        }
        
      Hu et al., "Safe Local Motion Planning With Self-Supervised Freespace Forecasting", CVPR, 2021. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Hu_2021_CVPR,
            author = "Hu, Peiyun and Huang, Aaron and Dolan, John and Held, David and Ramanan, Deva",
            title = "Safe Local Motion Planning With Self-Supervised Freespace Forecasting",
            booktitle = "CVPR",
            year = "2021"
        }
        
      Walters et al., "EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance", IROS, 2021. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Walters_2021_IROS,
            author = "Walters, Celyn and Hadfield, Simon",
            booktitle = "IROS",
            title = "{EVReflex}: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance",
            year = "2021"
        }
        
      Wirthmüller et al., "Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks", RAL, 2021. paper arxiv
        Datasets Metrics
        Bibtex
        @Article{Wirthmuller_2021_RAL,
            author = "Wirthmüller, Florian and Klimke, Marvin and Schlechtriemen, Julian and Hipp, Jochen and Reichert, Manfred",
            journal = "RAL",
            title = "Predicting the Time Until a Vehicle Changes the Lane Using {LSTM-Based} Recurrent Neural Networks",
            year = "2021",
            volume = "6",
            number = "2",
            pages = "2357-2364"
        }
        
      Ramakrishnan et al., "Occupancy Anticipation for Efficient Exploration and Navigation", ECCV, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Ramakrishnan_2020_ECCV,
            author = "Ramakrishnan, Santhosh K and Al-Halah, Ziad and Grauman, Kristen",
            title = "Occupancy Anticipation for Efficient Exploration and Navigation",
            booktitle = "ECCV",
            year = "2020"
        }
        
      Kataoka et al., "Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection", ICRA, 2020. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Kataoka_2020_ICRA,
            author = "Kataoka, H. and Suzuki, T. and Nakashima, K. and Satoh, Y. and Aoki, Y.",
            booktitle = "ICRA",
            title = "Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection",
            year = "2020"
        }
        
      Wang et al., "Group Split and Merge Prediction With 3D Convolutional Networks", RAL, 2020. paper
        Datasets Metrics
        Bibtex
        @Article{Wang_2020_RAL,
            author = "Wang, A. and Steinfeld, A.",
            journal = "RAL",
            title = "Group Split and Merge Prediction With 3D Convolutional Networks",
            year = "2020",
            volume = "5",
            number = "2",
            pages = "1923-1930"
        }
        
      Guizilini et al., "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments", ICRA, 2019. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Guizilini_2019_ICRA,
            author = "Guizilini, V. and Senanayake, R. and Ramos, F.",
            booktitle = "ICRA",
            title = "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments",
            year = "2019"
        }
        
      Schreiber et al., "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks", ICRA, 2019. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Schreiber_2019_ICRA,
            author = "Schreiber, M. and Hoermann, S. and Dietmayer, K.",
            booktitle = "ICRA",
            title = "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks",
            year = "2019"
        }
        
    False Positive Rate (FPR) [11]
      Zhu et al., "Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism", IROS, 2021. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Zhu_2021_IROS,
            author = "Zhu, Haibei and Misu, Teruhisa and Martin, Sujitha and Wu, Xingwei and Akash, Kumar",
            booktitle = "IROS",
            title = "Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism",
            year = "2021"
        }
        
    Final Velocity Error (FVE) [11]
      Kiss et al., "Constrained Gaussian Processes With Integrated Kernels for Long-Horizon Prediction of Dense Pedestrian Crowd Flows", RAL, 2022. paper
        Datasets Metrics
        Bibtex
        @Article{Kiss_2023_RAL,
            author = "Kiss, Stefan H. and Katuwandeniya, Kavindie and Alempijevic, Alen and Vidal-Calleja, Teresa",
            journal = "RAL",
            title = "Constrained Gaussian Processes With Integrated Kernels for Long-Horizon Prediction of Dense Pedestrian Crowd Flows",
            year = "2022",
            volume = "7",
            number = "3",
            pages = "7343-7350"
        }
        
    Global Consistency Error (GCE) [11]
      Luc et al., "Predicting Future Instance Segmentation By Forecasting Convolutional Features", ECCV, 2018. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Luc_2018_ECCV,
            author = "Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob",
            title = "Predicting Future Instance Segmentation By Forecasting Convolutional Features",
            booktitle = "ECCV",
            year = "2018"
        }
        
    Gandin-Murphy-Gerrity Score (GMGS) [11]
      Kaneda et al., "Flare Transformer: Solar Flare Prediction using Magnetograms and Sunspot Physical Features", ACCV, 2022. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Kaneda_2022_ACCV,
            author = "Kaneda, Kanta and Wada, Yuiga and Iida, Tsumugi and Nishizuka, Naoto and Kubo, Y\^uki and Sugiura, Komei",
            title = "{Flare Transformer}: Solar Flare Prediction using Magnetograms and Sunspot Physical Features",
            booktitle = "ACCV",
            year = "2022"
        }
        
    Image Similarity (ImS) [11]
      Toyungyernsub et al., "Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments", ICRA, 2021. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Toyungyernsub_2021_ICRA,
            author = "Toyungyernsub, Maneekwan and Itkina, Masha and Senanayake, Ransalu and Kochenderfer, Mykel J.",
            booktitle = "ICRA",
            title = "Double-Prong {ConvLSTM} for Spatiotemporal Occupancy Prediction in Dynamic Environments",
            year = "2021"
        }
        
    Intersection over Union (IoU) [1]
      Yang et al., "Visual Point Cloud Forecasting enables Scalable Autonomous Driving", CVPR, 2024. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Yang_Visual_2024_CVPR,
            author = "Yang, Zetong and Chen, Li and Sun, Yanan and Li, Hongyang",
            title = "Visual Point Cloud Forecasting enables Scalable Autonomous Driving",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Shi et al., "StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation", CVPR, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Shi_StreamingFlow_2024_CVPR,
            author = "Shi, Yining and Jiang, Kun and Wang, Ke and Li, Jiusi and Wang, Yunlong and Yang, Mengmeng and Yang, Diange",
            title = "StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Ma et al., "Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications", CVPR, 2024. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Ma_Cam4DOcc_2024_CVPR,
            author = "Ma, Junyi and Chen, Xieyuanli and Huang, Jiawei and Xu, Jingyi and Luo, Zhen and Xu, Jintao and Gu, Weihao and Ai, Rui and Wang, Hesheng",
            title = "Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Ferenczi et al., "MotionPerceiver: Real-Time Occupancy Forecasting for Embedded Systems", RAL, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @ARTICLE{Ferenczi_MotionPreceiver_2024_RAL,
            author = "Ferenczi, Bryce and Burke, Michael and Drummond, Tom",
            journal = "RAL",
            title = "MotionPerceiver: Real-Time Occupancy Forecasting for Embedded Systems",
            year = "2024",
            volume = "9",
            number = "3",
            pages = "2822-2829"
        }
        
      Liu et al., "Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving", ICRA, 2023. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Liu_2023_ICRA,
            author = "Liu, Haochen and Huang, Zhiyu and Lv, Chen",
            title = "Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving",
            booktitle = "ICRA",
            year = "2023"
        }
        
      Asghar et al., "Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps", IROS, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @INPROCEEDINGS{Asghar_2023_IROS,
            author = "Asghar, Rabbia and Diaz-Zapata, Manuel and Rummelhard, Lukas and Spalanzani, Anne and Laugier, Christian",
            booktitle = "IROS",
            title = "Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps",
            year = "2023"
        }
        
      Graber et al., "Joint Forecasting of Panoptic Segmentations With Difference Attention", CVPR, 2022. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Graber_2022_CVPR,
            author = "Graber, Colin and Jazra, Cyril and Luo, Wenjie and Gui, Liangyan and Schwing, Alexander G.",
            title = "Joint Forecasting of Panoptic Segmentations With Difference Attention",
            booktitle = "CVPR",
            year = "2022"
        }
        
      Akan et al., "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally", ECCV, 2022. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Akan_2022_ECCV,
            author = "Akan, Adil Kaan and Guney, Fatma",
            title = "{StretchBEV}: Stretching Future Instance Prediction Spatially and Temporally",
            booktitle = "ECCV",
            year = "2022"
        }
        
      Kim et al., "StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving", ICRA, 2022. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Kim_2022_ICRA,
            author = "Kim, Jinkyu and Mahjourian, Reza and Ettinger, Scott and Bansal, Mayank and White, Brandyn and Sapp, Ben and Anguelov, Dragomir",
            booktitle = "ICRA",
            title = "{StopNet}: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving",
            year = "2022"
        }
        
      Graber et al., "Panoptic Segmentation Forecasting", CVPR, 2021. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Graber_2021_CVPR,
            author = "Graber, Colin and Tsai, Grace and Firman, Michael and Brostow, Gabriel and Schwing, Alexander G.",
            title = "Panoptic Segmentation Forecasting",
            booktitle = "CVPR",
            year = "2021"
        }
        
      Hu et al., "FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras", ICCV, 2021. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Hu_2021_ICCV,
            author = "Hu, Anthony and Murez, Zak and Mohan, Nikhil and Dudas, Sofia and Hawke, Jeffrey and Badrinarayanan, Vijay and Cipolla, Roberto and Kendall, Alex",
            title = "{FIERY}: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras",
            booktitle = "ICCV",
            year = "2021"
        }
        
      Saric et al., "Warp to the Future: Joint Forecasting of Features and Feature Motion", CVPR, 2020. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Saric_2020_CVPR,
            author = "Saric, Josip and Orsic, Marin and Antunovic, Tonci and Vrazic, Sacha and Segvic, Sinisa",
            title = "Warp to the Future: Joint Forecasting of Features and Feature Motion",
            booktitle = "CVPR",
            year = "2020"
        }
        
      Hu et al., "Probabilistic Future Prediction for Video Scene Understanding", ECCV, 2020. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Hu_2020_ECCV,
            author = "Hu, Anthony and Cotter, Fergal and Mohan, Nikhil and Gurau, Corina and Kendall, Alex",
            title = "Probabilistic Future Prediction for Video Scene Understanding",
            booktitle = "ECCV",
            year = "2020"
        }
        
      Ramakrishnan et al., "Occupancy Anticipation for Efficient Exploration and Navigation", ECCV, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Ramakrishnan_2020_ECCV,
            author = "Ramakrishnan, Santhosh K and Al-Halah, Ziad and Grauman, Kristen",
            title = "Occupancy Anticipation for Efficient Exploration and Navigation",
            booktitle = "ECCV",
            year = "2020"
        }
        
      Terwilliger et al., "Recurrent Flow-Guided Semantic Forecasting", WACV, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Terwilliger_2019_WACV,
            author = "Terwilliger, A. and Brazil, G. and Liu, X.",
            booktitle = "WACV",
            title = "Recurrent Flow-Guided Semantic Forecasting",
            year = "2019"
        }
        
      Luc et al., "Predicting Future Instance Segmentation By Forecasting Convolutional Features", ECCV, 2018. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Luc_2018_ECCV,
            author = "Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob",
            title = "Predicting Future Instance Segmentation By Forecasting Convolutional Features",
            booktitle = "ECCV",
            year = "2018"
        }
        
      Luc et al., "Predicting Deeper Into The Future Of Semantic Segmentation", ICCV, 2017. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Luc_2017_ICCV,
            author = "Luc, Pauline and Neverova, Natalia and Couprie, Camille and Verbeek, Jakob and LeCun, Yann",
            title = "Predicting Deeper Into The Future Of Semantic Segmentation",
            booktitle = "ICCV",
            year = "2017"
        }
        
    Inception Scores (IS) [11]
      Toyungyernsub et al., "Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments", IROS, 2022. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Toyungyernsub_2022_IROS,
            author = "Toyungyernsub, Maneekwan and Yel, Esen and Li, Jiachen and Kochenderfer, Mykel J",
            booktitle = "IROS",
            title = "Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments",
            year = "2022"
        }
        
    ISM [11]
      Afolabi et al., "People As Sensors: Imputing Maps From Human Actions", IROS, 2018. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Afolabi_2018_IROS,
            author = "Afolabi, O. and Driggs–Campbell, K. and Dong, R. and Kochenderfer, M. J. and Sastry, S. S.",
            booktitle = "IROS",
            title = "People As Sensors: Imputing Maps From Human Actions",
            year = "2018"
        }