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2024

• On the Estimation of Image-matching Uncertainty in Visual Place Recognition, M. Zaffar, L. Nan, J.F.P. Kooij, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. to appear, selected for *Poster Highlight* (11.9% of accepted papers)
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• UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities, S. Wang, H. Caesar, L. Nan, J.F.P. Kooij, IEEE Intelligent Vehicles Symposium (IVS), 2024. to appear
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• Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset, H. Boekema, B. Martens, J.F.P. Kooij, D.M. Gavrila, IEEE Robotics and Automation Letters (RA-L), 9(5), pp. 4806-4813, 2024. doi: 10.1109/LRA.2024.3385693
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• Adaptive Cruise Control Utilizing Noisy Multi-leader Measurements: A Learning-based Approach, Y. Ni, V.L. Knoop, J.F.P. Kooij, B. van Arem, IEEE Open Journal of Intelligent Transportation Systems, 2024. to appear
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• See further than CFAR: A data-driven radar detector trained by Lidar, I. Roldan, A. Palffy, J.F.P. Kooij, D.M. Gavrila, F. Fioranelli, A. Yaravoy, IEEE Radar Conference, 2024. to appear
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• MuVieCAST: Multi-View Consistent Artistic Style Transfer, N. Ibrahimli, J.F.P. Kooij, L. Nan, IEEE International Conference on 3D Vision (3DV), 2024. to appear
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2023

• Convolutional Cross-View Pose Estimation, Z. Xia, O. Booij, J.F.P. Kooij, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. doi: 10.1109/TPAMI.2023.3346924 to appear
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• DDL-MVS: Depth Discontinuity Learning for Multi-View Stereo Networks, N. Ibrahimli, H. Ledoux, J.F.P. Kooij, L. Nan, Remote Sensing, 15, pp. 2970, 2023. doi: 10.3390/rs15122970
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• SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation, T. Lentsch, Z. Xia, H. Caesar, J.F.P. Kooij, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17225-17234, 2023.
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• CoPR: Toward Accurate Visual Localization With Continuous Place-descriptor Regression, M. Zaffar, L. Nan, J.F.P. Kooij, IEEE Transactions on Robotics (T-RO), 39(4), pp. 2825-2841, 2023. doi: 10.1109/TRO.2023.3262106
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• How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?, J. Schuurmans, K. Batselier, J.F.P. Kooij, International Conference on Learning Representations (ICLR), 2023. doi: 10.48550/arXiv.2305.05318
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• Detecting darting out pedestrians with occlusion aware sensor fusion of radar and stereo camera, A. Palffy, J.F.P. Kooij, D.M. Gavrila, IEEE Transactions on Intelligent Vehicles (T-IV), 8(2), pp. 1459-1472, 2023. doi: 10.1109/TIV.2022.3220435
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2022

• Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds, S. Du, N. Ibrahimli, J. Stoter, J. Kooij, L. Nan, IEEE International Conference on 3D Vision (3DV), 2022.
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• Visual Cross-View Metric Localization with Dense Uncertainty Estimates, Z. Xia, O. Booij, M. Manfredi, J.F.P. Kooij, European Conference on Computer Vision (ECCV), pp. 90-106, 2022. doi: 10.1007/978-3-031-19842-7_6
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• Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset, A. Palffy, E.A.I. Pool, S. Baratam, J.F.P. Kooij, D.M. Gavrila, IEEE Robotics and Automation Letters (RA-L), 7(2), pp. 4961-4968, 2022. doi: 10.1109/LRA.2022.3147324 presented at IEEE ICRA 2022
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• BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency, F.M. Hafner, M. Zeller, M. Schutera, J. Abhau, J.F.P. Kooij, IEEE Intelligent Vehicles Symposium (IVS), pp. 1801-1809, 2022. doi: 10.1109/IV51971.2022.9827260
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• Cross-modal distillation for RGB-depth person re-identification, F. M. Hafner, A. Bhuyian, J.F.P. Kooij, E. Granger, Computer Vision and Image Understanding (CVIU), 216, pp. 103352, 2022. doi: 10.1016/j.cviu.2021.103352
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2021

• Occupancy Grid Mapping with Cognitive Plausibility for Autonomous Driving Applications, A. Plebe, J.F.P. Kooij, G.P.R. Papini, M. Da Lio, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 2934-2941, 2021.
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• Cross-View Matching for Vehicle Localization by Learning Geographically Local Representations, Z. Xia, O. Booij, M. Manfredi, J.F.P. Kooij, IEEE Robotics and Automation Letters (RA-L), 6(3), pp. 5921-5928, 2021. doi: 10.1109/LRA.2021.3088076
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• VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change, M. Zaffar, S. Garg, M. Milford, J. Kooij, D. Flynn, K. McDonald-Maier, S. Ehsan, International Journal of Computer Vision (IJCV), 2021. doi: 10.1007/s11263-021-01469-5
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• Fast and Compact Image Segmentation using Instance Stixels, T.H. Hehn, J.F.P. Kooij, D.M. Gavrila, IEEE Transactions on Intelligent Vehicles (T-IV), 7(1), pp. 45-46, 2021. doi: 10.1109/TIV.2021.3067223
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• Crafted vs. Learned Representations in Predictive Models - A Case Study on Cyclist Path Prediction, E.A.I. Pool, J.F.P.Kooij, D.M. Gavrila, IEEE Transactions on Intelligent Vehicles (T-IV), 6(4), pp. 747-759, 2021. doi: 10.1109/TIV.2021.3064253
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• Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners, Y. Schulz, A.K. Mattar, T.M. Hehn, J.F.P. Kooij, IEEE Robotics and Automation Letters (RA-L), 6(2), pp. 2587-2594, 2021. doi: 10.1109/LRA.2021.3062254 presented at IEEE ICRA 2021
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• A Joint Extrinsic Calibration Tool for Radar, Camera and Lidar, J. Domhof, J. Kooij, D. Gavrila, IEEE Transactions on Intelligent Vehicles (T-IV), 6(3), pp. 571-582, 2021. doi: 10.1109/TIV.2021.3065208
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2020

• Geographically Local Representation Learning with a Spatial Prior for Visual Localization, Z. Xia, O. Booij, M. Manfredi, J.F.P. Kooij, ECCV 2020 Workshops, 2020. doi: 10.1007/978-3-030-66096-3_38
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• CNN based Road User Detection using the 3D Radar Cube, A. Palffy, J. Dong, J.F.P. Kooij, D.M. Gavrila, IEEE Robotics and Automation Letters (RA-L), 5(2), pp. 1263-1270, 2020. doi: 10.1109/LRA.2020.2967272 presented at IEEE ICRA 2020
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• End-to-End Learning of Decision Trees and Forests, T.M. Hehn, J.F.P. Kooij, F.A. Hamprecht, International Journal of Computer Vision (IJCV), 128, pp. 997-1011, 2020. doi: 10.1007/s11263-019-01237-6
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2019

• RGB-Depth Cross-Modal Person Re-identification, F.M. Hafner, A. Bhuiyan, J.F.P. Kooij, E. Granger, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), pp. 1-8, 2019. doi: 10.1109/AVSS.2019.8909838 oral
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• Context-Based Cyclist Path Prediction Using Recurrent Neural Networks, E.A.I. Pool, J.F.P. Kooij, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 824-830, 2019. doi: 10.1109/IVS.2019.8813889 oral
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• SafeVRU: A Research Platform for the Interaction of Self-Driving Vehicles with Vulnerable Road Users, L. Ferranti, B. Brito, E.A.I. Pool, Y. Zhang, R.M. Ensing, R. Happee, B. Shyrokau, J.F.P. Kooij, J. Alonso-Mora, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 1660-1666, 2019. doi: 10.1109/IVS.2019.8813899
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• Instance Stixels: Segmenting and Grouping Stixels into Objects, T.H. Hehn, J.F.P. Kooij, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 2542-2549, 2019. doi: 10.1109/IVS.2019.8814243
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• Occlusion Aware Sensor Fusion for Early Crossing Pedestrian Detection, A. Palffy, J.F.P. Kooij, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 1768-1774, 2019. doi: 10.1109/IVS.2019.8814065
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• An Extrinsic Calibration Tool for Lidar, Camera and Radar, J. Domhof, J.F.P. Kooij, D.M. Gavrila, IEEE International Conference on Robotics and Automation (ICRA), pp. 8107-8113, 2019. doi: 10.1109/ICRA.2019.8794186
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2018

• Context-Based Path Prediction for Targets with Switching Dynamics, J.F.P. Kooij, F. Flohr, E.A.I. Pool, D.M. Gavrila, International Journal of Computer Vision (IJCV), 2018. doi: 10.1007/s11263-018-1104-4
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2017

• Using road topology to improve cyclist path prediction, E.A.I. Pool, J.F.P. Kooij, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 289-296, 2017. doi: 10.1109/IVS.2017.7995734
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2016

• Depth-aware motion magnification, J.F.P. Kooij, J.C. van Gemert, European Conference on Computer Vision (ECCV), pp. 467-482, 2016. doi: 10.1007/978-3-319-46484-8_28
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• SenseCap: synchronized data collection with Microsoft Kinect2 and LeapMotion, J.F.P. Kooij, Proceedings of the 2016 ACM on Multimedia Conference, pp. 1218-1221, 2016. doi: 10.1145/2964284.2973805
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• Multi-modal human aggression detection, J.F.P. Kooij, M.C. Liem, J.D. Krijnders, T.C. Andringa, Computer Vision and Image Understanding (CVIU), 144, pp. 106-120, 2016. doi: 10.1016/j.cviu.2015.06.009
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• Mixture of switching linear dynamics to discover behavior patterns in object tracks, J.F.P. Kooij, G. Englebienne, D.M. Gavrila, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 38(2), pp. 322-334, 2016. doi: 10.1109/TPAMI.2015.2443801
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2015

• A probabilistic framework for joint pedestrian head and body orientation estimation, F. Flohr, M. Dumitru-Guzu, JFP Kooij, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 16(4), pp. 1872-1882, 2015. doi: 10.1109/TITS.2014.2379441
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• Identifying multiple objects from their appearance in inaccurate detections, J.F.P. Kooij, G. Englebienne, D.M. Gavrila, Computer Vision and Image Understanding (CVIU), 136, pp. 103-116, 2015. doi: 10.1016/j.cviu.2015.03.012
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2014

• Context-based pedestrian path prediction, J.F.P. Kooij, N. Schneider, F. Flohr, D.M. Gavrila, European Conference on Computer Vision (ECCV), pp. 618-633, 2014. doi: 10.1007/978-3-319-10599-4_40
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• Joint probabilistic pedestrian head and body orientation estimation, F. Flohr, M. Dumitru-Guzu, J.F.P. Kooij, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 617-622, 2014. doi: 10.1109/IVS.2014.6856532
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• Analysis of pedestrian dynamics from a vehicle perspective, J.F.P. Kooij, N. Schneider, D.M. Gavrila, IEEE Intelligent Vehicles Symposium (IVS), pp. 1445-1450, 2014. doi: 10.1109/IVS.2014.6856505
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2012

• A Non-parametric Hierarchical Model to Discover Behavior Dynamics from Tracks, J.F.P. Kooij, G. Englebienne, D.M. Gavrila, Proceedings of the European Conference on Computer Vision (ECCV), pp. 270-283, 2012. doi: 10.1007/978-3-642-33783-3_20
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2008

• The cross-entropy method for policy search in decentralized POMDPs, F.A. Oliehoek, J.F.P. Kooij, N. Vlassis, Informatica, 32(4), pp. 341-357, 2008.
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• A cross-entropy approach to solving Dec-POMDPs, F.A. Oliehoek, J.F.P. Kooij, N. Vlassis, Advances in Intelligent and Distributed Computing, pp. 145-154, 2008. doi: 10.1007/978-3-540-74930-1_15
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