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Other Prediction Papers

Below is the list of Other prediction papers sorted chronologically and according to the venues (in order of relevance) they were published in. Each paper in the list has an associated link to the publication page, and arxiv preprint or code links if available. By clicking on the papers you can get the following information:

• Datasets used in the paper
• Metrics used in the paper
• Bibtext of the publication

Papers

Graber et al., "Joint Forecasting of Panoptic Segmentations With Difference Attention", CVPR, 2022. paper arxiv code

Datasets
• Cityscapes
Metrics
• F1
• IoU
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"
}

Li et al., "Egocentric Prediction of Action Target in 3D", CVPR, 2022. paper arxiv

Datasets
• EgoPAT3D
Metrics
• ED
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"
}

Graber et al., "Panoptic Segmentation Forecasting", CVPR, 2021. paper arxiv code

Datasets
• Cityscapes
Metrics
• IoU
• AP
• RQ
• SQ
• PQ
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., "Safe Local Motion Planning With Self-Supervised Freespace Forecasting", CVPR, 2021. paper code

Datasets
• nuScenes
• CARLA
Metrics
• F1
• AP
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"
}

Li et al., "Causal Hidden Markov Model for Time Series Disease Forecasting", CVPR, 2021. paper arxiv code

Datasets
• Custom
Metrics
• Accuracy
• AUC
Bibtex

@InProceedings{Li_2021_CVPR,
    author = "Li, Jing and Wu, Botong and Sun, Xinwei and Wang, Yizhou",
    title = "Causal Hidden Markov Model for Time Series Disease Forecasting",
    booktitle = "CVPR",
    year = "2021"
}

Lin et al., "Predictive Feature Learning for Future Segmentation Prediction", ICCV, 2021. paper

Datasets
• Cityscape
Metrics
• AP
Bibtex

@InProceedings{Lin_2021_ICCV,
    author = "Lin, Zihang and Sun, Jiangxin and Hu, Jian-Fang and Yu, Qizhi and Lai, Jian-Huang and Zheng, Wei-Shi",
    title = "Predictive Feature Learning for Future Segmentation Prediction",
    booktitle = "ICCV",
    year = "2021"
}

Toyungyernsub et al., "Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments", ICRA, 2021. paper arxiv

Datasets
• Way
Metrics
• MSE
• ImS
• DMSE
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"
}

Luo et al., "Safety-Oriented Pedestrian Occupancy Forecasting", IROS, 2021. paper arxiv

Datasets
• Custom
Metrics
• MCE
• ACE
• mAP
Bibtex

@InProceedings{Luo_2021_IROS,
    author = "Luo, Katie and Casas, Sergio and Liao, Renjie and Yan, Xinchen and Xiong, Yuwen and Zeng, Wenyuan and Urtasun, Raquel",
    booktitle = "IROS",
    title = "Safety-Oriented Pedestrian Occupancy Forecasting",
    year = "2021"
}

Walters et al., "EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance", IROS, 2021. paper arxiv

Datasets
• Custom
Metrics
• F1
• Precision
• recall
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"
}

Wang et al., "Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments", IROS, 2021. paper arxiv code

Datasets
• Custom
Metrics
• Precision
• Recall
Bibtex

@InProceedings{Wang_2021_IROS,
    author = "Wang, Lizi and Ye, Hongkai and Wang, Qianhao and Gao, Yuman and Xu, Chao and Gao, Fei",
    booktitle = "IROS",
    title = "Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments",
    year = "2021"
}

Weng et al., "Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects", IROS, 2021. paper arxiv code

Datasets
• DRIP
Metrics
• MPE
Bibtex

@InProceedings{Weng_2021_IROS,
    author = "Weng, Zehang and Paus, Fabian and Varava, Anastasiia and Yin, Hang and Asfour, Tamim and Kragic, Danica",
    booktitle = "IROS",
    title = "Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects",
    year = "2021"
}

Xie et al., "Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System", IROS, 2021. paper

Datasets
• Custom
Metrics
• MRE
Bibtex

@InProceedings{Xie_2021_IROS,
    author = "Xie, Xiaoyang and Shao, Kangjia and Wang, Yang and Miao, Fei and Zhang, Desheng",
    booktitle = "IROS",
    title = "Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System",
    year = "2021"
}

Zhu et al., "Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism", IROS, 2021. paper arxiv

Datasets
• Custom
Metrics
• Accuracy
• TPR
• FPR
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"
}

Wirthmüller et al., "Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks", RAL, 2021. paper arxiv

Datasets
• HighD
Metrics
• F1
• Precision
• Recall
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"
}

Oota et al., "HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients", WACV, 2021. paper

Datasets
• Custom
Metrics
• MAE
Bibtex

@InProceedings{Oota_2021_WACV,
    author = "Oota, Subba Reddy and Rowtula, Vijay and Mohammed, Shahid and Galitz, Jeffrey and Liu, Minghsun and Gupta, Manish",
    title = "HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients",
    booktitle = "WACV",
    year = "2021"
}

Oh et al., "HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting", CVPR, 2020. paper arxiv

Datasets
• MNIST
• CARLA
Metrics
• NLL
Bibtex

@InProceedings{Oh_2020_CVPR,
    author = "Oh, Geunseob and Valois, Jean-Sebastien",
    title = "HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting",
    booktitle = "CVPR",
    year = "2020"
}

Qi et al., "Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation", CVPR, 2020. paper

Datasets
• BTD
• PEMS-SF
• Custom
Metrics
• MSE
• ED
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"
}

Saric et al., "Warp to the Future: Joint Forecasting of Features and Feature Motion", CVPR, 2020. paper

Datasets
• Cityscapes
Metrics
• IoU
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"
}

Yang et al., "FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction", CVPR, 2020. paper arxiv code

Datasets
• FaceScape
Metrics
• ME
Bibtex

@InProceedings{Yang_2020_CVPR,
    author = "Yang, Haotian and Zhu, Hao and Wang, Yanru and Huang, Mingkai and Shen, Qiu and Yang, Ruigang and Cao, Xun",
    title = "FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction",
    booktitle = "CVPR",
    year = "2020"
}

Hu et al., "Probabilistic future prediction for video scene understanding", ECCV, 2020. paper arxiv

Datasets
• Cityscapes
• Custom
Metrics
• IoU
• DDM
• AEPE
• SILE
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
• Matterport3D
• Gibson Env
• Habitat
Metrics
• F1
• IoU
• Accuracy
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"
}

Sohn et al., "Laying the Foundations of Deep Long-Term Crowd Flow Prediction", ECCV, 2020. paper

Datasets
• GC
• LTCF
Metrics
• MAE
• MSE
Bibtex

@InProceedings{Sohn_2020_ECCV,
    author = "Sohn, Samuel S and Zhou, Honglu and Moon, Seonghyeon and Yoon, Sejong and Pavlovic, Vladimir and Kapadia, Mubbasir",
    title = "Laying the Foundations of Deep Long-Term Crowd Flow Prediction",
    booktitle = "ECCV",
    year = "2020"
}

Wang et al., "Self-supervised Video Representation Learning by Pace Prediction", ECCV, 2020. paper arxiv code

Datasets
• UCF-101
• Kinetics-400
• HMDB
Metrics
• Accuracy
Bibtex

@InProceedings{Wang_2020_ECCV_2,
    author = "Wang, Jiangliu and Jiao, Jianbo and Liu, Yun-Hui",
    title = "Self-supervised Video Representation Learning by Pace Prediction",
    booktitle = "ECCV",
    year = "2020"
}

Weng et al., "Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting", CoRL, 2020. paper arxiv code

Datasets
• nuScenes
• KITTI
• Custom
Metrics
• PPFE
• ADE
Bibtex

@InProceedings{Weng_2020_CORL,
    author = "Weng, Xinshuo and Wang, Jianren and Levine, Sergey and Kitani, Kris and Rhinehart, Nick",
    title = "Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting",
    booktitle = "CoRL",
    year = "2020"
}

Kataoka et al., "Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection", ICRA, 2020. paper

Datasets
• Custom
Metrics
• F1
• Precision
• Recall
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
• UCY
• ETH
Metrics
• F1
• Precision
• Recall
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"
}

Mohajerin et al., "Multi-Step Prediction Of Occupancy Grid Maps With Recurrent Neural Networks", CVPR, 2019. paper arxiv

Datasets
• KITTI
Metrics
• Run Time
• SSIM
• TP
• TN
Bibtex

@InProceedings{Mohajerin_2019_CVPR,
    author = "Mohajerin, Nima and Rohani, Mohsen",
    title = "Multi-Step Prediction Of Occupancy Grid Maps With Recurrent Neural Networks",
    booktitle = "CVPR",
    year = "2019"
}

Guizilini et al., "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments", ICRA, 2019. paper arxiv code

Datasets
• KITTI
Metrics
• F1
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"
}

Katyal et al., "Uncertainty-Aware Occupancy Map Prediction Using Generative Networks For Robot Navigation", ICRA, 2019. paper

Datasets
• Custom
Metrics
• Run Time
• SSIM
• PSNR
Bibtex

@InProceedings{Katyal_2019_ICRA,
    author = "Katyal, K. and Popek, K. and Paxton, C. and Burlina, P. and Hager, G. D.",
    booktitle = "ICRA",
    title = "Uncertainty-Aware Occupancy Map Prediction Using Generative Networks For Robot Navigation",
    year = "2019"
}

Schreiber et al., "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks", ICRA, 2019. paper arxiv

Datasets
• Custom
Metrics
• F1
• ROC
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"
}

Graves et al., "Perception As Prediction Using General Value Functions In Autonomous Driving Applications", IROS, 2019. paper arxiv

Datasets
• Custom
Metrics
• ED
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"
}

Song et al., "Long-Term Visual Inertial Slam Based On Time Series Map Prediction", IROS, 2019. paper

Datasets
• Custom
Metrics
• Accuracy
Bibtex

@InProceedings{Song_2019_IROS,
    author = "Song, Bowen and Chen, Weidong and Wang, Jingchuan and Wang, Hesheng",
    booktitle = "IROS",
    title = "Long-Term Visual Inertial Slam Based On Time Series Map Prediction",
    year = "2019"
}

Zapf et al., "Pedestrian Density Prediction For Efficient Mobile Robot Exploration", IROS, 2019. paper

Datasets
• Custom
Metrics
• ED
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"
}

Hoermann et al., "Dynamic Occupancy Grid Prediction For Urban Autonomous Driving: A Deep Learning Approach With Fully Automatic Labeling", ICRA, 2018. paper arxiv

Datasets
• Custom
Metrics
• ROC
Bibtex

@InProceedings{Hoermann_2018_ICRA,
    author = "Hoermann, S. and Bach, M. and Dietmayer, K.",
    booktitle = "ICRA",
    title = "Dynamic Occupancy Grid Prediction For Urban Autonomous Driving: A Deep Learning Approach With Fully Automatic Labeling",
    year = "2018"
}

Afolabi et al., "People As Sensors: Imputing Maps From Human Actions", IROS, 2018. paper arxiv

Datasets
• JAAD
Metrics
• Psi
• ISM
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"
}

Choi et al., "Robust Modeling And Prediction In Dynamic Environments Using Recurrent Flow Networks", IROS, 2016. paper

Datasets
• FCVL
Metrics
• Precision
• Recall
• Run Time
• AUC
Bibtex

@InProceedings{Choi_2016_IROS,
    author = "Choi, S. and Lee, K. and Oh, S.",
    booktitle = "IROS",
    title = "Robust Modeling And Prediction In Dynamic Environments Using Recurrent Flow Networks",
    year = "2016"
}

Kim et al., "Deep-Hurricane-Tracker: Tracking And Forecasting Extreme Climate Events", WACV, 2019. paper

Datasets
• Custom
Metrics
• Precision
• Recall
Bibtex

@InProceedings{Kim_2019_WACV,
    author = "Kim, S. and Kim, H. and Lee, J. and Yoon, S. and Kahou, S. E. and Kashinath, K. and Prabhat, M.",
    booktitle = "WACV",
    title = "Deep-Hurricane-Tracker: Tracking And Forecasting Extreme Climate Events",
    year = "2019"
}

Siddiqui et al., "A Deep Learning Approach To Solar-Irradiance Forecasting In Sky-Videos", WACV, 2019. paper arxiv

Datasets
• Arizona
• Tuscan
• Golden Colorado
Metrics
• nMAPE
Bibtex

@InProceedings{Siddiqui_2019_WACV,
    author = "Siddiqui, T. A. and Bharadwaj, S. and Kalyanaraman, S.",
    booktitle = "WACV",
    title = "A Deep Learning Approach To Solar-Irradiance Forecasting In Sky-Videos",
    year = "2019"
}

Terwilliger et al., "Recurrent Flow-Guided Semantic Forecasting", WACV, 2019. paper arxiv

Datasets
• Cityscapes
Metrics
• IoU
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
• Cityscapes
Metrics
• IoU
• VoI
• GCE
• RI
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"
}

Chu et al., "Visual Weather Temperature Prediction", WACV, 2018. paper arxiv

Datasets
• AMOS
Metrics
• RMSE
Bibtex

@InProceedings{Chu_2018_WACV,
    author = "Chu, W. and Ho, K. and Borji, A.",
    booktitle = "WACV",
    title = "Visual Weather Temperature Prediction",
    year = "2018"
}

Wang et al., "Retweet Wars: Tweet Popularity Prediction Via Dynamic Multimodal Regression", WACV, 2018. paper

Datasets
• MBI-1M
Metrics
• MAPE
• SRC
Bibtex

@InProceedings{Wang_2018_WACV,
    author = "Wang, K. and Bansal, M. and Frahm, J.",
    booktitle = "WACV",
    title = "Retweet Wars: Tweet Popularity Prediction Via Dynamic Multimodal Regression",
    year = "2018"
}

Doellinger et al., "Predicting Occupancy Distributions of Walking Humans With Convolutional Neural Networks", RAL, 2018. paper

Datasets
• Custom
Metrics
• RT
• KLD
Bibtex

@Article{Doellinger_2018_RAL,
    author = "Doellinger, J. and Spies, M. and Burgard, W.",
    journal = "RAL",
    title = "Predicting Occupancy Distributions of Walking Humans With Convolutional Neural Networks",
    year = "2018",
    volume = "3",
    number = "3",
    pages = "1522-1528"
}

He et al., "Aggregated Sparse Attention For Steering Angle Prediction", ICPR, 2018. paper arxiv

Datasets
• DIPLECS
Metrics
• MAE
Bibtex

@InProceedings{He_2018_ICPR,
    author = "He, S. and Kangin, D. and Mi, Y. and Pugeault, N.",
    booktitle = "ICPR",
    title = "Aggregated Sparse Attention For Steering Angle Prediction",
    year = "2018"
}

Al-Halah et al., "Fashion Forward: Forecasting Visual Style In Fashion", ICCV, 2017. paper arxiv

Datasets
• Amazon
Metrics
• MAE
• MAPE
Bibtex

@InProceedings{Al-Halah_2017_ICCV,
    author = "Al-Halah, Ziad and Stiefelhagen, Rainer and Grauman, Kristen",
    title = "Fashion Forward: Forecasting Visual Style In Fashion",
    booktitle = "ICCV",
    year = "2017"
}

Luc et al., "Predicting Deeper Into The Future Of Semantic Segmentation", ICCV, 2017. paper arxiv code

Datasets
• Cityscapes
Metrics
• IoU
• SSIM
• PSNR
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"
}

Zeng et al., "Visual Forecasting By Imitating Dynamics In Natural Sequences", ICCV, 2017. paper arxiv

Datasets
• VIST
Metrics
• Accuracy
Bibtex

@InProceedings{Zeng_2017_ICCV,
    author = "Zeng, Kuo-Hao and Shen, William B. and Huang, De-An and Sun, Min and Carlos Niebles, Juan",
    title = "Visual Forecasting By Imitating Dynamics In Natural Sequences",
    booktitle = "ICCV",
    year = "2017"
}

Jin et al., "Predicting Scene Parsing And Motion Dynamics In The Future", NeurIPS, 2017. paper arxiv

Datasets
• Cityscapes
Metrics
• MSE
• MIoU
• EPE
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"
}

Sur et al., "Robots That Anticipate Pain: Anticipating Physical Perturbations From Visual Cues Through Deep Predictive Models", IROS, 2017. paper

Datasets
• Custom
Metrics
• Precision
• Recall
• MCC
Bibtex

@InProceedings{Sur_2017_IROS,
    author = "Sur, I. and Ben Amor, H.",
    booktitle = "IROS",
    title = "Robots That Anticipate Pain: Anticipating Physical Perturbations From Visual Cues Through Deep Predictive Models",
    year = "2017"
}

Cunningham et al., "Improving slip prediction on mars using thermal inertia measurements", RSS, 2017. paper

Datasets
• Custom
Metrics
• RMSE
Bibtex

@InProceedings{Cunningham_2017_RSS,
    author = "Cunningham, Christopher and Nesnas, Issa A and Whittaker, William L",
    title = "Improving slip prediction on mars using thermal inertia measurements",
    booktitle = "RSS",
    year = "2017"
}

Mottaghi et al., "What Happens If... Learning To Predict The Effect Of Forces In Images", ECCV, 2016. paper arxiv

Datasets
• SUN RGB-D
Metrics
• PCP
Bibtex

@InProceedings{Mottaghi_2016_ECCV,
    author = "Mottaghi, Roozbeh and Rastegari, Mohammad and Gupta, Abhinav and Farhadi, Ali",
    editor = "Leibe, Bastian and Matas, Jiri and Sebe, Nicu and Welling, Max",
    title = "What Happens If... Learning To Predict The Effect Of Forces In Images",
    booktitle = "ECCV",
    year = "2016"
}

Carvajal et al., "Towards Miss Universe Automatic Prediction: The Evening Gown Competition", ICPR, 2016. paper arxiv

Datasets
• MU
Metrics
• Accuracy
Bibtex

@InProceedings{Carvajal_2016_ICPR,
    author = "Carvajal, J. and Wiliem, A. and Sanderson, C. and Lovell, B.",
    booktitle = "ICPR",
    title = "Towards Miss Universe Automatic Prediction: The Evening Gown Competition",
    year = "2016"
}

Cai et al., "Asking for Help with the Right Question by Predicting Human Visual Performance", RSS, 2016. paper

Datasets
• Custom
Metrics
• MAE
• MSE
• NMSE
Bibtex

@InProceedings{Cai_2016_RSS,
    author = "Cai, Hong and Mostofi, Yasamin",
    title = "Asking for Help with the Right Question by Predicting Human Visual Performance",
    booktitle = "RSS",
    year = "2016"
}

Joo et al., "Automated Facial Trait Judgment And Election Outcome Prediction: Social Dimensions Of Face", ICCV, 2015. paper

Datasets
• Custom
Metrics
• Accuracy
Bibtex

@InProceedings{Joo_2015_ICCV,
    author = "Joo, Jungseock and Steen, Francis F. and Zhu, Song-Chun",
    title = "Automated Facial Trait Judgment And Election Outcome Prediction: Social Dimensions Of Face",
    booktitle = "ICCV",
    year = "2015"
}

Wilson et al., "Vehicle State Prediction For Outdoor Autonomous High-Speed Off-Road Ugvs", ICRA, 2015. paper

Datasets
• Custom
Metrics
• MAE
Bibtex

@InProceedings{Wilson_2015_ICRA,
    author = "Wilson, G. N. and Ramirez-Serrano, A. and Sun, Q.",
    booktitle = "ICRA",
    title = "Vehicle State Prediction For Outdoor Autonomous High-Speed Off-Road Ugvs",
    year = "2015"
}