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Peter H. N. de With
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- affiliation: Eindhoven University of Technology, Netherlands
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2020 – today
- 2025
- [j102]Carolus H. J. Kusters, Tim J. M. Jaspers, T. G. W. Boers, Martijn R. Jong, Jelmer B. Jukema, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization. Medical Image Anal. 99: 103348 (2025) - [j101]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. IEEE Trans. Medical Imaging 44(1): 384-395 (2025) - 2024
- [j100]Tim J. M. Jaspers, Tim Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen:
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies. Medical Image Anal. 94: 103157 (2024) - [j99]Tim Boers, Kiki N. Fockens, Joost A. van der Putten, Tim J. M. Jaspers, Carolus H. J. Kusters, Jelmer B. Jukema, Martijn R. Jong, Maarten R. Struyvenberg, Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen:
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency. Medical Image Anal. 98: 103298 (2024) - [j98]Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Supervised Representation Learning Towards Generalizable Assembly State Recognition. IEEE Robotics Autom. Lett. 9(11): 9915-9922 (2024) - [j97]Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen:
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. IEEE Trans. Image Process. 33: 2462-2476 (2024) - [c351]Nikoo Dehghani, Ayla Thijssen, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Evaluating Confidence Calibration in Endoscopic Diagnosis Models. CVPR Workshops 2024: 5020-5025 - [c350]Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With:
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories. CVPR Workshops 2024: 7638-7645 - [c349]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen:
Retaining Informative Latent Variables in Probabilistic Segmentation. ICASSP 2024: 5635-5639 - [c348]Willem J. Menu, Nikoo Dehghani, Peter H. N. de With, Fons van der Sommen:
Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models. ISBI 2024: 1-5 - [c347]Joris V. de Nijs, Tim J. M. Jaspers, Franciscus H. A. Bakker, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen:
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy. ISBI 2024: 1-5 - [c346]Cris H. B. Claessens, Eloy W. R. Schultz, Anna Koch, Ingrid Nies, Terese A. E. Hellström, Joost Nederend, Ilse Niers-Stobbe, Annemarie Bruining, Jurgen M. J. Piek, Peter H. N. de With, Fons van der Sommen:
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning. CaPTion@MICCAI 2024: 3-13 - [c345]Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, Yiping Li, Romy C. van Jaarsveld, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen:
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision. DEMI@MICCAI 2024: 43-53 - [c344]Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. CaPTion@MICCAI 2024: 83-92 - [c343]Lemar Abdi, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen:
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. UNSURE@MICCAI 2024: 149-159 - [c342]D. Scholte, T. T. G. Urselmann, Matthijs H. Zwemer, Egor Bondarev, Peter H. N. de With:
Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models. VISIGRAPP (3): VISAPP 2024: 350-358 - [c341]Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang:
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766 - [c340]Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen:
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. WACV 2024: 4353-4362 - [c339]Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. de With:
Automated Camera Calibration via Homography Estimation with GNNs. WACV 2024: 5864-5471 - [i41]Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Detection of Object Throwing Behavior in Surveillance Videos. CoRR abs/2403.06552 (2024) - [i40]Erkut Akdag, Zeqi Zhu, Egor Bondarev, Peter H. N. de With:
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition. CoRR abs/2403.06577 (2024) - [i39]Tunç Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Density-Guided Label Smoothing for Temporal Localization of Driving Actions. CoRR abs/2403.06616 (2024) - [i38]Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With:
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories. CoRR abs/2404.12712 (2024) - [i37]Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen:
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. CoRR abs/2405.11677 (2024) - [i36]Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, Yiping Li, Romy C. van Jaarsveld, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen:
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision. CoRR abs/2407.17904 (2024) - [i35]Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Supervised Representation Learning towards Generalizable Assembly State Recognition. CoRR abs/2408.11700 (2024) - [i34]Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Find the Assembly Mistakes: Error Segmentation for Industrial Applications. CoRR abs/2408.12945 (2024) - [i33]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? CoRR abs/2409.03043 (2024) - [i32]Yiling Zhang, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos. CoRR abs/2410.05900 (2024) - [i31]Erkut Akdag, Egor Bondarev, Peter H. N. de With:
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance. CoRR abs/2411.11003 (2024) - [i30]M. M. Amaan Valiuddin, Ruud J. G. van Sloun, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen:
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation. CoRR abs/2411.16370 (2024) - 2023
- [j96]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Medical instrument detection in ultrasound: a review. Artif. Intell. Rev. 56(5): 4363-4402 (2023) - [j95]Qinghua Guo, Yue Sun, Clémence Orsini, J. Elizabeth Bolhuis, Jakob de Vlieg, Piter Bijma, Peter H. N. de With:
Enhanced camera-based individual pig detection and tracking for smart pig farms. Comput. Electron. Agric. 211: 108009 (2023) - [j94]Sander R. Klomp, Rob G. J. Wijnhoven, Peter H. N. de With:
Performance-Efficiency Comparisons of Channel Attention Modules for ResNets. Neural Process. Lett. 55(5): 6797-6813 (2023) - [j93]Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen:
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs. IEEE Signal Process. Mag. 40(7): 38-63 (2023) - [c338]Xin Liu, Egor Bondarev, Peter H. N. de With:
DL-based floorplan generation from noisy point clouds. 3DIA 2023: 1-6 - [c337]Erkut Akdag, Zeqi Zhu, Egor Bondarev, Peter H. N. de With:
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition. CVPR Workshops 2023: 5453-5462 - [c336]Christiaan G. A. Viviers, Mark Ramaekers, M. M. Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter H. N. de With, Misha Luyer, Fons van der Sommen:
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. ICCV (Workshops) 2023: 2413-2423 - [c335]Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Detection of object throwing behavior in surveillance videos. Image Processing: Algorithms and Systems 2023: 1-9 - [c334]Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With:
Homography Estimation for Camera Calibration in Complex Topological Scenes. IV 2023: 1-8 - [c333]T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. Computer-Aided Diagnosis 2023 - [c332]Nikoo Dehghani, Thom Scheeve, T. G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. Computer-Aided Diagnosis 2023 - [c331]Terese Hellström, Christiaan G. A. Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen:
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation. Computer-Aided Diagnosis 2023 - [c330]Carolus H. J. Kusters, T. G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. Computer-Aided Diagnosis 2023 - [c329]Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
How does image quality affect computer-aided diagnosis of colorectal polyps? Computer-Aided Diagnosis 2023 - [c328]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen:
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. Computer-Aided Diagnosis 2023 - [c327]Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis. AMAI@MICCAI 2023: 21-31 - [c326]Tim J. M. Jaspers, Tim Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen:
Investigating the Impact of Image Quality on Endoscopic AI Model Performance. AMAI@MICCAI 2023: 32-41 - [c325]Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese Hellström, Nick Tasios, Dimitrios Mavroeidis, Jon R. Pluyter, Igor Jacobs, Misha Luyer, Peter H. N. de With, Fons van der Sommen:
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. AMAI@MICCAI 2023: 52-61 - [c324]Sander R. Klomp, Peter H. N. de With:
Robust Path Planning in the Wild for Automatic Look-Ahead Camera Control. VISIGRAPP (4: VISAPP) 2023: 553-561 - [c323]Simon Mariani, Sander R. Klomp, Rob Romijnders, Peter H. N. de With:
The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection. VISIGRAPP (5: VISAPP) 2023: 723-730 - [c322]Tim J. Schoonbeek, Hans Onvlee, Pierluigi Frisco, Peter H. N. de With, Fons van der Sommen:
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings. VR Workshops 2023: 881-882 - [i29]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen:
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. CoRR abs/2305.00950 (2023) - [i28]Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen:
A signal processing interpretation of noise-reduction convolutional neural networks. CoRR abs/2307.13425 (2023) - [i27]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. CoRR abs/2307.16694 (2023) - [i26]Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With:
Homography Estimation in Complex Topological Scenes. CoRR abs/2308.01086 (2023) - [i25]Christiaan G. A. Viviers, Mark Ramaekers, M. M. Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter H. N. de With, Misha Luyer, Fons van der Sommen:
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. CoRR abs/2310.00639 (2023) - [i24]Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen:
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. CoRR abs/2310.17323 (2023) - [i23]Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. de With:
Automated Camera Calibration via Homography Estimation with GNNs. CoRR abs/2311.02598 (2023) - 2022
- [j92]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound. Comput. Medical Imaging Graph. 96: 102037 (2022) - [j91]Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter H. N. de With:
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data. Mach. Vis. Appl. 33(4): 56 (2022) - [j90]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Toward Multilabel Image Retrieval for Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j89]Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Lukas R. C. Dekker, Alexander F. Kolen, Peter H. N. de With:
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning. IEEE J. Biomed. Health Informatics 26(2): 762-773 (2022) - [j88]Luis Albert Zavala-Mondragón, Peter M. J. Rongen, Javier Oliván Bescós, Peter H. N. de With, Fons van der Sommen:
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks. IEEE Trans. Medical Imaging 41(8): 2048-2066 (2022) - [c321]Tunç Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Density-Guided Label Smoothing for Temporal Localization of Driving Actions. CVPR Workshops 2022: 3173-3181 - [c320]Matthijs H. Zwemer, D. Scholte, Peter H. N. de With:
Semi-automated Generation of Accurate Ground-Truth for 3D Object Detection. VISIGRAPP (Revised Selected Papers) 2022: 21-50 - [c319]Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Svitlana Zinger, Peter H. N. de With:
Identification of patients at risk of cardiac conduction diseases requiring a permanent pacemaker following TAVI procedure: a deep-learning approach on ECG signals. ICBET 2022: 75-83 - [c318]Xin Liu, Egor Bondarev, Peter H. N. de With:
Floor-plan generation from noisy point clouds. ICMV 2022 - [c317]Herman G. J. Groot, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Optimizing Train-Test Data for Person Re-Identification in Real-World Applications. ICMVA 2022: 67-75 - [c316]Koen C. Kusters, Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Colorectal polyp classification using confidence-calibrated convolutional neural networks. Computer-Aided Diagnosis 2022 - [c315]Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jacques J. G. H. M. Bergman, Peter H. N. de With:
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. Computer-Aided Diagnosis 2022 - [c314]Carolus H. J. Kusters, Tim Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. CaPTion@MICCAI 2022: 89-98 - [c313]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. CaPTion@MICCAI 2022: 99-107 - [c312]Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. CaPTion@MICCAI 2022: 108-117 - [c311]T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. CaPTion@MICCAI 2022: 131-138 - [c310]Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CaPTion@MICCAI 2022: 139-148 - [c309]Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray. Image-Guided Procedures 2022 - [c308]Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Critical Vehicle Detection for Intelligent Transportation Systems. VEHITS 2022: 165-171 - [c307]Qinghua Guo, Yue Sun, Lan Min, Arjen van Putten, Egbert Frank Knol, Bram Visser, T. Bas Rodenburg, J. Elizabeth Bolhuis, Piter Bijma, Peter H. N. de With:
Video-based Detection and Tracking with Improved Re-Identification Association for Pigs and Laying Hens in Farms. VISIGRAPP (4: VISAPP) 2022: 69-78 - [c306]Matthijs H. Zwemer, D. Scholte, Rob G. J. Wijnhoven, Peter H. N. de With:
3D Detection of Vehicles from 2D Images in Traffic Surveillance. VISIGRAPP (5: VISAPP) 2022: 97-106 - [i22]Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CoRR abs/2208.03581 (2022) - [i21]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. CoRR abs/2208.04639 (2022) - [i20]Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray. CoRR abs/2211.03211 (2022) - 2021
- [j87]Roger Fonolla, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Sharmila Subramaniam, Pradeep Bhandari, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Automatic image and text-based description for colorectal polyps using BASIC classification. Artif. Intell. Medicine 121: 102178 (2021) - [j86]Farhad Ghazvinian Zanjani, Arash Pourtaherian, Svitlana Zinger, David Anssari Moin, Frank Claessen, Teo Cherici, Sarah Parinussa, Peter H. N. de With:
Mask-MCNet: Tooth instance segmentation in 3D point clouds of intra-oral scans. Neurocomputing 453: 286-298 (2021) - [j85]Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Alexander F. Kolen, Peter H. N. de With:
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss. Medical Image Anal. 67: 101842 (2021) - [j84]Amir Ghahremani, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Maritime vessel re-identification: novel VR-VCA dataset and a multi-branch architecture MVR-net. Mach. Vis. Appl. 32(3): 71 (2021) - [j83]Matthijs H. Zwemer, Herman G. J. Groot, Rob G. J. Wijnhoven, Egor Bondarev, Peter H. N. de With:
Multi-Camera Vessel-Speed Enforcement by Enhancing Detection and Re-Identification Techniques. Sensors 21(14): 4659 (2021) - [j82]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Efficient Medical Instrument Detection in 3D Volumetric Ultrasound Data. IEEE Trans. Biomed. Eng. 68(3): 1034-1043 (2021) - [j81]Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen:
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT. IEEE Trans. Image Process. 30: 9386-9401 (2021) - [j80]Cheng Li, Arash Pourtaherian, Lonneke van Onzenoort, Walther E. Tjon a Ten, Peter H. N. de With:
Infant Facial Expression Analysis: Towards a Real-Time Video Monitoring System Using R-CNN and HMM. IEEE J. Biomed. Health Informatics 25(5): 1429-1440 (2021) - [j79]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
ASTEROIDS: A Stixel Tracking Extrapolation-Based Relevant Obstacle Impact Detection System. IEEE Trans. Intell. Veh. 6(1): 34-46 (2021) - [c305]Xin Liu, Egor Bondarev, Sander R. Klomp, Joury Zimmerman, Peter H. N. de With:
Semantic 3D Indoor Reconstruction with Stereo Camera Imaging. 3D Imaging and Applications 2021: 1-7 - [c304]Tunç Alkanat, Herman G. J. Groot, Matthijs H. Zwemer, Egor Bondarev, Peter H. N. de With:
Towards Scalable Abnormal Behavior Detection in Automated Surveillance. AI4I 2021: 21-24 - [c303]Clint Sebastian, Raffaele Imbriaco, Panagiotis Meletis, Gijs Dubbelman, Egor Bondarev, Peter H. N. de With:
TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval. CVPR Workshops 2021: 4138-4146 - [c302]Koen C. Kusters, Luis Albert Zavala-Mondragón, Javier Oliván Bescós, Peter M. J. Rongen, Peter H. N. de With, Fons van der Sommen:
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content. EMBC 2021: 2682-2687 - [c301]Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With:
Safe Fakes: Evaluating Face Anonymizers for Face Detectors. FG 2021: 1-8 - [c300]Stefan Cornelissen, Joost A. van der Putten, T. G. W. Boers, Jelmer B. Jukema, Kiki N. Fockens, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With:
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. ICIP 2021: 66-70 - [c299]Thomas Huisman, Maxim Pisarenco, Peter H. N. de With:
Depth estimation from a single CD-SEM image using domain adaptation with multimodal data. ICMV 2021: 120841I - [c298]Oliver Tamas Kocsis, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Real-Time Vehicle Orientation Classification and Viewpoint-Aware Vehicle Re-Identification. Image Processing: Algorithms and Systems 2021 - [c297]Marco Lai, Claudio Spiridione Dicorato, Marco de Wild, Frank Verbakel, Sergei Shulepov, Joanneke Groen, Marc Notten, Gerald Lucassen, Marc R. H. M. van Sambeek, Benno H. W. Hendriks, Peter H. N. de With:
Evaluation of a non-contact Photo-Plethysmographic Imaging (iPPG) system for peripheral arterial disease assessment. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c296]Roger Fonolla, Maciej Smyl, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With:
Triplet network for classification of benign and pre-malignant polyps. Computer-Aided Diagnosis 2021 - [c295]Lan Min, Yue Sun, Peter H. N. de With:
Video-based infant monitoring using a CNN-LSTM scheme. Computer-Aided Diagnosis 2021 - [c294]Sanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With:
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks. Computer-Aided Diagnosis 2021 - [c293]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. UNSURE/PIPPI@MICCAI 2021: 75-88 - [c292]Francesca Manni, Chuchen Cai, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi Terander, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, Peter H. N. de With:
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. Image-Guided Procedures 2021 - [c291]Francesca Manni, Cyril J. Ferrer, Celine E. C. Vincent, Marco Lai, Lambertus W. Bartels, Clemens Bos, Fons van der Sommen, Peter H. N. de With:
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy. Image-Guided Procedures 2021 - [c290]Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With:
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach. Image Processing 2021 - [c289]Luis Albert Zavala-Mondragón, Klaus J. Engel, Bernd Menser, Danny Ruijters, Peter H. N. de With, Fons van der Sommen:
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging. Image Processing 2021 - [c288]Cheng Li, Arash Pourtaherian, Lonneke van Onzenoort, Peter H. N. de With:
Automated Infant Monitoring based on R-CNN and HMM. VISIGRAPP (5: VISAPP) 2021: 553-560 - [c287]Cheng Li, Genyu Song, Arash Pourtaherian, Peter H. N. de With:
Dual CNN-based Face Tracking Algorithm for an Automated Infant Monitoring System. VISIGRAPP (5: VISAPP) 2021: 881-887 - [i19]Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With:
Safe Fakes: Evaluating Face Anonymizers for Face Detectors. CoRR abs/2104.11721 (2021) - [i18]Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Lukas R. C. Dekker, Alexander F. Kolen, Peter H. N. de With:
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning. CoRR abs/2107.14476 (2021) - [i17]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. CoRR abs/2108.02155 (2021) - 2020
- [j78]Joost van der Putten, Fons van der Sommen, Peter H. N. de With:
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems. IEEE Access 8: 169444-169455 (2020) - [j77]Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Tim Boers, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. Artif. Intell. Medicine 107: 101914 (2020) - [j76]Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With, Fons van der Sommen:
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy. Comput. Medical Imaging Graph. 80: 101701 (2020) - [j75]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Toward robust multitype and orientation detection of vessels in maritime surveillance. J. Electronic Imaging 29(3): 033015 (2020) - [j74]Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. 32(14): 10705-10717 (2020) - [j73]Francesca Manni, Adrian Elmi Terander, Gustav Burström, Oscar Persson, Erik Edström, Ronald Holthuizen, Caifeng Shan, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With:
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery. Sensors 20(13): 3641 (2020) - [j72]Tim Boers, Joost van der Putten, Maarten R. Struyvenberg, Kiki Fockens, Jelmer Jukema, Erik J. Schoon, Fons van der Sommen, Jacques J. Bergman, Peter H. N. de With:
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 20(15): 4133 (2020) - [j71]Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi Terander, Samuel Ortega, Gustavo Marrero Callicó, Peter H. N. de With:
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. Sensors 20(23): 6955 (2020) - [j70]Cheng Li, Arash Pourtaherian, Lonneke van Onzenoort, Walther E. Tjon a Ten, Peter H. N. de With:
Infant Monitoring System for Real-Time and Remote Discomfort Detection. IEEE Trans. Consumer Electron. 66(4): 336-345 (2020) - [c286]Ricardo R. Lopes, Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Martijn S. van Mourik, Marije M. Vis, Sveta Zinger, Bas A. J. M. de Mol, Peter H. N. de With, Henk A. Marquering:
Inter-Center Cross-Validation and Finetuning without Patient Data Sharing for Predicting Transcatheter Aortic Valve Implantation Outcome. CBMS 2020: 591-596 - [c285]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Dual Embedding Expansion for Vehicle Re-identification. CVPR Workshops 2020: 2475-2484 - [c284]Sander R. Klomp, Guido M. Y. E. Brouwers, Rob G. J. Wijnhoven, Peter H. N. de With:
Rare-Class Extraction Using Cascaded Pretrained Networks Applied to Crane Classification. IRIACV 2020: 1-7 - [c283]Sander R. Klomp, Dennis W. J. M. van de Wouw, Peter H. N. de With:
Real-time Small-object Change Detection from Ground Vehicles Using a Siamese Convolutional Neural Network. IRIACV 2020: 1-16 - [c282]Francesca Manni, Roger Fonollá, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Esther Kho, Susan G. Brouwer de Koning, Theo Ruers, Peter H. N. de With:
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery. EMBC 2020: 1169-1173 - [c281]Matthijs H. Zwemer, Rob G. J. Wijnhoven, Peter H. N. de With:
Hierarchical Object Detection and Classification Using SSD Multi-Loss. VISIGRAPP (Revised Selected Papers) 2020: 268-296 - [c280]Marco Mamprin, Svitlana Zinger, Peter H. N. de With, Jo M. Zelis, Pim A. L. Tonino:
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation. ICBET 2020: 325-329 - [c279]C. Li, Arash Pourtaherian, Walther E. Tjon a Ten, Peter H. N. de With:
Infant Monitoring System for Real-Time and Remote Discomfort Detection. ICCE 2020: 1-2 - [c278]Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Multiscale Convolutional Descriptor Aggregation for Visual Place Recognition. Image Processing: Algorithms and Systems 2020 - [c277]Xin Liu, Herman G. J. Groot, Egor Bondarev, Peter H. N. de With:
Introducing Scene Understanding to Person Re-Identification using a Spatio-Temporal Multi-Camera Model. Image Processing: Algorithms and Systems 2020 - [c276]Luis Albert Zavala-Mondragón, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H. N. de With:
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections. ISBI 2020: 867-871 - [c275]Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Computer-Aided Diagnosis 2020 - [c274]Yue Sun, Deedee Kommers, Tao Tan, Wenjin Wang, Xi Long, Caifeng Shan, Carola van Pul, Ronald M. Aarts, Peter Andriessen, Peter H. N. de With:
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs. Computer-Aided Diagnosis 2020 - [c273]Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With:
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning. Computer-Aided Diagnosis 2020 - [c272]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet. MICCAI (1) 2020: 646-655 - [c271]Marco Lai, Simon Skyrman, Caifeng Shan, Elvira Paulussen, Francesca Manni, Akash Swamy, Drazenko Babic, Erik Edström, Oscar Persson, Gustav Burström, Adrian Elmi Terander, Benno H. W. Hendriks, Peter H. N. de With:
Automated classification of brain tissue: comparison between hyperspectral imaging and diffuse reflectance spectroscopy. Image-Guided Procedures 2020: 113151X - [c270]Lan Min, Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Feasibility study of catheter segmentation in 3D Frustum ultrasounds by DCNN. Image-Guided Procedures 2020: 1131521 - [c269]T. G. W. Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Fons van der Sommen, Jacques J. Bergman, Peter H. N. de With:
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Image Processing 2020: 1131315 - [c268]Joost van der Putten, Fons van der Sommen, Peter H. N. de With:
Influence of decoder size for binary segmentation tasks in medical imaging. Image Processing 2020: 1131318 - [c267]Luis Albert Zavala-Mondragón, Danny Ruijters, Peter van de Haar, Peter H. N. de With, Fons van der Sommen:
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks. MLSP 2020: 1-6 - [c266]Raffaele Imbriaco, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Multi-Branch Convolutional Descriptors for Content-based Remote Sensing Image Retrieval. VISIGRAPP (5: VISAPP) 2020: 242-249 - [c265]Matthijs H. Zwemer, Rob G. J. Wijnhoven, Peter H. N. de With:
SSD-ML: Hierarchical Object Classification for Traffic Surveillance. VISIGRAPP (5: VISAPP) 2020: 250-259 - [c264]Herman G. J. Groot, Matthijs H. Zwemer, Rob G. J. Wijnhoven, Y. Bondarev, Peter H. N. de With:
Vessel-speed Enforcement System by Multi-camera Detection and Re-identification. VISIGRAPP (5: VISAPP) 2020: 268-277 - [i16]Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Svitlana Zinger, Peter H. N. de With:
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation. CoRR abs/2001.02431 (2020) - [i15]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Adversarial Loss for Semantic Segmentation of Aerial Imagery. CoRR abs/2001.04269 (2020) - [i14]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery. CoRR abs/2004.07018 (2020) - [i13]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Dual Embedding Expansion for Vehicle Re-identification. CoRR abs/2004.08665 (2020) - [i12]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet. CoRR abs/2006.14702 (2020) - [i11]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Medical Instrument Detection in Ultrasound-Guided Interventions: A Review. CoRR abs/2007.04807 (2020) - [i10]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound. CoRR abs/2010.09525 (2020)
2010 – 2019
- 2019
- [j69]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Catheter localization in 3D ultrasound using voxel-of-interest-based ConvNets for cardiac intervention. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1069-1077 (2019) - [j68]Dennis W. J. M. van de Wouw, Frank Bart ter Haar, Gijs Dubbelman, Peter H. N. de With:
Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles. J. Electronic Imaging 28(4): 043009 (2019) - [j67]Yue Sun, Caifeng Shan, Tao Tan, Xi Long, Arash Pourtaherian, Svitlana Zinger, Peter H. N. de With:
Video-based discomfort detection for infants. Mach. Vis. Appl. 30(5): 933-944 (2019) - [j66]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Aggregated Deep Local Features for Remote Sensing Image Retrieval. Remote. Sens. 11(5): 493 (2019) - [c263]Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H. N. de With:
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery. CVPR 2019: 10581-10590 - [c262]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
From stixels to asteroids: Towards a collision warning system using stereo vision. Autonomous Vehicles and Machines 2019: 1-7 - [c261]Sander Klomp, Bas Boom, Thijs van Lankveld, Peter H. N. de With:
Change Detection in Cadastral 3D Models and Point Clouds and Its Use for Improved Texturing. IRIACV 2019: 1-7 - [c260]Sander R. Klomp, Dennis W. J. M. van de Wouw, Peter H. N. de With:
ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles. IRIACV 2019: 1-7 - [c259]Sjors van Riel, Dennis W. J. M. van de Wouw, Peter H. N. de With:
Improved 3D Scene Modeling for Image Registration in Change Detection. IRIACV 2019: 1-7 - [c258]Francesca Manni, Xin Liu, Ronald Holthuizen, Svitlana Zinger, Fons van der Sommen, Caifeng Shan, Marco Mamprin, Gustav Burström, Adrian Elmi Terander, Erik Edström, Peter H. N. de With:
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. EMBC 2019: 3909-3914 - [c257]Yue Sun, Deedee Kommers, Wenjin Wang, Rohan Joshi, Caifeng Shan, Tao Tan, Ronald M. Aarts, Carola van Pul, Peter Andriessen, Peter H. N. de With:
Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis. EMBC 2019: 5995-5999 - [c256]Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With:
Towards Parameter-Optimized Vessel Re-identification Based on IORnet. ICCS (5) 2019: 125-136 - [c255]Michelle C. A. van Grinsven, Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Erik J. Schoon, Peter H. N. de With:
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models. ICIP 2019: 210-214 - [c254]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss. ICIP 2019: 260-264 - [c253]Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP 2019: 380-384 - [c252]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss. ICIP 2019: 1346-1350 - [c251]Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Improving open-set person re-identification by statistics-driven gallery refinement. ICMV 2019: 114330V - [c250]Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With:
Multi-Class detection and orientation recognition of vessels in maritime surveillance. Image Processing: Algorithms and Systems 2019 - [c249]Herman G. J. Groot, Egor Bondarev, Peter H. N. de With:
Improving person re-identification performance by customized dataset and person detection. Image Processing: Algorithms and Systems 2019 - [c248]Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With:
LiDAR assisted large-scale privacy protection in street view cycloramas. Image Processing: Algorithms and Systems 2019 - [c247]Roger Fonollá, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With:
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. ISBI 2019: 74-78 - [c246]Farhad Ghazvinian Zanjani, Andreas Panteli, Svitlana Zinger, Fons van der Sommen, Tao Tan, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With:
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. ISBI 2019: 674-678 - [c245]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused Fcn. ISBI 2019: 1122-1126 - [c244]Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten R. Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131 - [c243]Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Erik J. Schoon, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With:
A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. Computer-Aided Diagnosis 2019: 109501Y - [c242]P. P. J. H. Langenhuizen, Hans Van Gorp, Sveta Zinger, Jeroen Verheul, Sieger Leenstra, Peter H. N. de With:
Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma. Computer-Aided Diagnosis 2019: 109504C - [c241]Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Joep E. G. IJspeert, Evelien Dekker, Erik J. Schoon, Peter H. N. de With:
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging. Computer-Aided Diagnosis 2019: 1095012 - [c240]Farhad Ghazvinian Zanjani, David Anssari Moin, Frank Claessen, Teo Cherici, Sarah Parinussa, Arash Pourtaherian, Svitlana Zinger, Peter H. N. de With:
Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans. MICCAI (5) 2019: 128-136 - [c239]Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI 2019: 169-177 - [c238]Hongxu Yang, Caifeng Shan, Tao Tan, Alexander F. Kolen, Peter H. N. de With:
Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss. MICCAI (5) 2019: 263-271 - [c237]Farhad Ghazvinian Zanjani, David Anssari Moin, Bas Verheij, Frank Claessen, Teo Cherici, Tao Tan, Peter H. N. de With:
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth. MIDL 2019: 557-571 - [c236]J. van Kersbergen, Farhad Ghazvinian Zanjani, Sveta Zinger, Fons van der Sommen, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With:
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks. Digital Pathology 2019: 109560I - [c235]Marco Lai, Caifeng Shan, Drazenko Babic, Robert Homan, Adrian Elmi Terander, Erik Edström, Oscar Persson, Gustav Burström, Peter H. N. de With:
Image fusion on the endoscopic view for endo-nasal skull-base surgery. Image-Guided Procedures 2019: 109511D - [c234]Francesca Manni, Fons van der Sommen, Sveta Zinger, Esther Kho, Susan G. Brouwer de Koning, Theo Ruers, Caifeng Shan, Jean Schleipen, Peter H. N. de With:
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging. Image-Guided Procedures 2019: 109512K - [c233]Joost van der Putten, Fons van der Sommen, Maarten R. Struyvenberg, Jeroen de Groof, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With:
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Image Processing 2019: 109492J - [c232]Cheng Li, Arash Pourtaherian, Walther E. Tjon a Ten, Peter H. N. de With:
Robust discomfort detection for infants using an unsupervised roll estimation. Image Processing 2019: 1094930 - [i9]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FCN. CoRR abs/1902.05582 (2019) - [i8]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Towards Accurate Camera Geopositioning by Image Matching. CoRR abs/1903.05454 (2019) - [i7]Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With:
LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas. CoRR abs/1903.05598 (2019) - [i6]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Aggregated Deep Local Features for Remote Sensing Image Retrieval. CoRR abs/1903.09469 (2019) - [i5]Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H. N. de With:
Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery. CoRR abs/1903.11532 (2019) - 2018
- [j65]Arash Pourtaherian, Farhad Ghazvinian Zanjani, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, Peter H. N. de With:
Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1321-1333 (2018) - [j64]Fons van der Sommen, Sander Klomp, Anne-Fré Swager, Svitlana Zinger, Wouter L. Curvers, Jacques J. Bergman, Erik J. Schoon, Peter H. N. de With:
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. Comput. Medical Imaging Graph. 67: 9-20 (2018) - [j63]Matthijs H. Zwemer, Guido M. Y. E. Brouwers, Rob G. J. Wijnhoven, Peter H. N. de With:
Semiautomatic training and evaluation of a learning-based vehicle make and model recognition system. J. Electronic Imaging 27(05): 051225 (2018) - [c231]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Multi-Class Recognition using Noisy Training Data with a Self-Learning Approach. DICTA 2018: 1-8 - [c230]Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With:
Bladder Cancer Segmentation on Multispectral Images. ICDSC 2018: 13:1-13:4 - [c229]Marco Lai, Caifeng Shan, Peter H. N. de With:
Hand-Eye Camera Calibration with an Optical Tracking System. ICDSC 2018: 18:1-18:6 - [c228]Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Catheter Detection in 3D Ultrasound Using Triplanar-Based Convolutional Neural Networks. ICIP 2018: 371-375 - [c227]Sjors van Riel, Fons van der Sommen, Sveta Zinger, Erik J. Schoon, Peter H. N. de With:
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning. ICIP 2018: 1383-1387 - [c226]Francesca Manni, Marco Mamprin, Sveta Zinger, Caifeng Shan, Ronald Holthuizen, Peter H. N. de With:
Multispectral Image Analysis for Patient Tissue Tracking During Complex Interventions. ICIP 2018: 3149-3153 - [c225]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Towards multi-class detection: a self-learning approach to reduce inter-class noise from training dataset. ICMV 2018: 110411M - [c224]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Towards accurate camera geopositioning by image matching. ICMV 2018: 110411C - [c223]Cheng Li, Arash Pourtaherian, Walther E. Tjon a Ten, Peter H. N. de With:
Enhanced face alignment using an unsupervised roll estimation initialization. ICMV 2018: 110412C - [c222]Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Peter H. N. de With:
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery. ICPR 2018: 553-559 - [c221]Farhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak, Peter H. N. de With:
Stain normalization of histopathology images using generative adversarial networks. ISBI 2018: 573-577 - [c220]P. P. J. H. Langenhuizen, M. J. W. Legters, Svitlana Zinger, H. B. Verheul, S. Leenstra, Peter H. N. de With:
MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma. Computer-Aided Diagnosis 2018: 105750H - [c219]Joost van der Putten, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With, Mathias Prokop, John Hermans:
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma. Computer-Aided Diagnosis 2018: 105753O - [c218]Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With:
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images. MICCAI (2) 2018: 274-282 - [c217]Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With:
Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces. Digital Pathology 2018: 105810I - [c216]Hongxu Yang, Arash Pourtaherian, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Feature study on catheter detection in three-dimensional ultrasound. Image-Guided Procedures 2018: 105760V - [c215]Farhad Ghazvinian Zanjani, Arash Pourtaherian, Xikai Tang, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, Peter H. N. de With:
Coherent needle detection in ultrasound volumes using 3D conditional random fields. Image-Guided Procedures 2018: 105760W - [c214]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Cascaded CNN Method for Far Object Detection in Outdoor Surveillance. SITIS 2018: 40-47 - [c213]Ronald W. J. J. Saeijs, Walther E. Tjon a Ten, Peter H. N. de With:
Dual-Camera Facial Landmark Tracking for Clinical Infant Monitoring. SITIS 2018: 151-158 - [c212]Matthijs H. Zwemer, Rob G. J. Wijnhoven, Peter H. N. de With:
Ship Detection in Harbour Surveillance based on Large-Scale Data and CNNs. VISIGRAPP (5: VISAPP) 2018: 153-160 - [c211]Dennis W. J. M. van de Wouw, Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model. VISIGRAPP (4: VISAPP) 2018: 250-259 - [i4]Clint Sebastian, Ries Uittenbogaard, Julien A. Vijverberg, Bas Boom, Peter H. N. de With:
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery. CoRR abs/1809.01444 (2018) - [i3]Clint Sebastian, Bas Boom, Thijs van Lankveld, Egor Bondarev, Peter H. N. de With:
Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery. CoRR abs/1810.03570 (2018) - 2017
- [j62]Solmaz Javanbakhti, Sveta Zinger, Peter H. N. de With:
Fast scene analysis for surveillance & video databases. IEEE Trans. Consumer Electron. 63(3): 325-333 (2017) - [j61]Arash Pourtaherian, Harm J. Scholten, Lieneke Kusters, Svitlana Zinger, Nenad Mihajlovic, Alexander F. Kolen, Fei Zuo, Gary C. Ng, Hendrikus H. M. Korsten, Peter H. N. de With:
Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes. IEEE Trans. Medical Imaging 36(8): 1664-1675 (2017) - [c210]Alexandros Rikos, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With:
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. CBMS 2017: 708-713 - [c209]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks. Autonomous Vehicles and Machines 2017: 54-61 - [c208]Solmaz Javanbakhti, Sveta Zinger, Peter H. N. de With:
Fast semantic region analysis for surveillance & video databases. ICCE 2017: 25-26 - [c207]Matthijs H. Zwemer, Guido M. Y. E. Brouwers, Rob G. J. Wijnhoven, Peter H. N. de With:
Semi-automatic Training of a Vehicle Make and Model Recognition System. ICIAP (2) 2017: 321-332 - [c206]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features. Image Processing: Algorithms and Systems 2017: 78-86 - [c205]Herman G. J. Groot, Arjen Oostdijk, Mark van Persie, Peter H. N. de With:
Cloud and Shadow Detection using Sequential Characteristics on Multi-Spectral Satellite Images. Image Processing: Algorithms and Systems 2017: 87-94 - [c204]Dennis W. J. M. van de Wouw, Martin A. R. Pieck, Gijs Dubbelman, Peter H. N. de With:
Real-time Estimation of the 3D Transformation between Images with Large Viewpoint Differences in Cluttered Environments. Image Processing: Algorithms and Systems 2017: 109-116 - [c203]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Camera-to-Model Back-Raycasting for Extraction of RGB-D Images from Pointclouds. Image Processing: Algorithms and Systems 2017: 117-124 - [c202]Sander Klomp, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With:
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. Computer-Aided Diagnosis 2017: 101340D - [c201]Arash Pourtaherian, Farhad Ghazvinian Zanjani, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, Peter H. N. de With:
Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks. MICCAI (2) 2017: 610-618 - [c200]S. M. Camps, F. Verhaegen, G. Paiva Fonesca, Peter H. N. de With, Davide Fontanarosa:
Automatic transperineal ultrasound probe positioning based on CT scan for image guided radiotherapy. Image-Guided Procedures 2017: 101352X - [i2]Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane, Yanling Chen, Peter H. N. de With, Héla Gassara, Hamed Gharbi, Adel Ghazel, Khaled Grati, Naira M. Grigoryan, Ashot N. Harutyunyan, Masayuki Imanishi, Mitsugu Iwamoto, Ken-ichi Iwata, Hiroshi Kamabe, Brian M. Kurkoski, Shigeaki Kuzuoka, Patrick Langenhuizen, Jan Lewandowsky, Akiko Manada, Shigeki Miyake, Hiroyoshi Morita, Jun Muramatsu, Safa Najjar, Arnak V. Poghosyan, Fatma Rouissi, Yuta Sakai, Ulrich Tamm, Joost van der Putten, Fons van der Sommen, A. J. Han Vinck, Tadashi Wadayama, Dirk Wübben, Hirosuke Yamamoto:
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications. CoRR abs/1707.08567 (2017) - 2016
- [j60]Konstantinos Triantafyllidis, Waqar Aslam, Egor Bondarev, Johan J. Lukkien, Peter H. N. de With:
ProMARTES: Accurate network and computation delay prediction for component-based distributed systems. J. Syst. Softw. 117: 450-470 (2016) - [j59]Dennis W. J. M. van de Wouw, Gijs Dubbelman, Peter H. N. de With:
Hierarchical 2.5-D Scene Alignment for Change Detection With Large Viewpoint Differences. IEEE Robotics Autom. Lett. 1(1): 361-368 (2016) - [c199]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
R3P: Real-time RGB-D Registration Pipeline. ACIVS 2016: 385-397 - [c198]Bart Kofoed, Eric Janssen, Peter H. N. de With:
Multi-Image Sparse Motion-Invariant Photography. Digital Photography and Mobile Imaging 2016: 1-6 - [c197]Guido M. Y. E. Brouwers, Matthijs H. Zwemer, Rob G. J. Wijnhoven, Peter H. N. de With:
Automatic Calibration of Stationary Surveillance Cameras in the Wild. ECCV Workshops (2) 2016: 743-759 - [c196]Ronald W. J. J. Saeijs, Walther E. Tjon a Ten, Peter H. N. de With:
Dense-Hog-based 3D face tracking for infant pain monitoring. ICIP 2016: 1719-1723 - [c195]Ronald W. J. J. Saeijs, Walther E. Tjon a Ten, Peter H. N. de With:
Dense-HOG-based drift-reduced 3D face tracking for infant pain monitoring. ICMV 2016: 103411U - [c194]Norbertus Christianus van Dongen, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Automatic assessment of informative frames in endoscopic video. ISBI 2016: 119-122 - [c193]Cheng Li, Sveta Zinger, Walther E. Tjon a Ten, Peter H. N. de With:
Video-based discomfort detection for infants using a Constrained Local Model. IWSSIP 2016: 1-4 - [c192]Markus H. A. Janse, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Early esophageal cancer detection using RF classifiers. Computer-Aided Diagnosis 2016: 97851D - [c191]Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Sweet-spot training for early esophageal cancer detection. Computer-Aided Diagnosis 2016: 97851B - [c190]Fons van der Sommen, Sveta Zinger, Peter H. N. de With:
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry. Image-Guided Procedures 2016: 97860D - [i1]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks. CoRR abs/1604.02316 (2016) - 2015
- [j58]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Real-time planar segmentation of depth images: from three-dimensional edges to segmented planes. J. Electronic Imaging 24(5): 051008 (2015) - [j57]Lykele B. Hazelhoff, Ivo M. Creusen, Thomas Woudsma, Peter H. N. de With:
Exploiting automatically generated databases of traffic signs and road markings for contextual co-occurrence analysis. J. Electronic Imaging 24(6): 061203 (2015) - [j56]Thomas Whelan, Lingni Ma, Egor Bondarev, Peter H. N. de With, John McDonald:
Incremental and batch planar simplification of dense point cloud maps. Robotics Auton. Syst. 69: 3-14 (2015) - [c189]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Solidarity Filter for Noise Reduction of 3D Edges in Depth Images. ACIVS 2015: 625-636 - [c188]Bart Kofoed, Eric Janssen, Peter H. N. de With:
Dynamic focus control for preventing motion blur. AVSS 2015: 1-6 - [c187]Ivo M. Creusen, Lykele B. Hazelhoff, Peter H. N. de With:
Exploration towards the modeling of gable-roofed buildings using a combination of aerial and street-level imagery. Video Surveillance and Transportation Imaging Applications 2015: 94070S - [c186]Christopher D. Geelen, Rob G. J. Wijnhoven, Gijs Dubbelman, Peter H. N. de With:
Gender classification in low-resolution surveillance video: in-depth comparison of random forests and SVMs. Video Surveillance and Transportation Imaging Applications 2015: 94070M - [c185]Ron op het Veld, Rob G. J. Wijnhoven, Y. Bondarev, Peter H. N. de With:
Detection and handling of occlusion in an object detection system. Video Surveillance and Transportation Imaging Applications 2015: 94070N - [c184]Dennis W. J. M. van de Wouw, Gijs Dubbelman, Peter H. N. de With:
On improving IED object detection by exploiting scene geometry using stereo processing. Video Surveillance and Transportation Imaging Applications 2015: 94070T - [c183]Matthijs H. Zwemer, Dennis W. J. M. van de Wouw, Egbert G. T. Jaspers, Sveta Zinger, Peter H. N. de With:
A vision-based approach for tramway rail extraction. Video Surveillance and Transportation Imaging Applications 2015: 94070R - [c182]Cheng Li, Ivo M. Creusen, Lykele B. Hazelhoff, Peter H. N. de With:
Detection and recognition of road markings in panoramic images. Video Surveillance and Transportation Imaging Applications 2015: 940708 - [c181]Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With:
Guided Rule-Based Multi-objective Optimization for Real-Time Distributed Systems. EUROMICRO-SEAA 2015: 224-232 - [c180]B. Abramiuc, Svitlana Zinger, Peter H. N. de With, N. de Vries-Farrouh, Merel M. van Gilst, B. Bloem, Sebastiaan Overeem:
Home video monitoring system for neurodegenerative diseases based on commercial HD cameras. ICCE-Berlin 2015: 489-492 - [c179]Peter H. N. de With, L. Vervenne, W. Goossen, Svitlana Zinger:
On a patient-based ICT architecture for telehealth applications for increasing human empowerment. ICCE 2015: 210-211 - [c178]M. J. H. van Gastel, Svitlana Zinger, H. M. C. Kemps, Peter H. N. de With:
Vision-based pose and heart rate detection for rehabilitation cycling. ICCE 2015: 299-300 - [c177]Martin A. R. Pieck, Fons van der Sommen, Svitlana Zinger, Peter H. N. de With:
Real-time semantic context labeling for image understanding. ICIP 2015: 3180-3184 - [c176]Arash Pourtaherian, Svitlana Zinger, Nenad Mihajlovic, Peter H. N. de With, Jinfeng Huang, Gary C. Ng, Hendrikus H. M. Korsten:
Multi-resolution Gabor wavelet feature extraction for needle detection in 3D ultrasound. ICMV 2015: 987513 - [c175]Hani Javan Hemmat, Arash Pourtaherian, Egor Bondarev, Peter H. N. de With:
Fast planar segmentation of depth images. Image Processing: Algorithms and Systems 2015: 93990I - [c174]Lingni Ma, Egor Bondarev, Peter H. N. de With:
Multi-volume mapping and tracking for real-time RGB-D sensing. Image Processing: Algorithms and Systems 2015: 939918 - [c173]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Color-Based Free-Space Segmentation Using Online Disparity-Supervised Learning. ITSC 2015: 906-912 - [c172]Jeroen S. van Gastel, Matthijs H. Zwemer, Rob G. J. Wijnhoven, Peter H. N. de With:
Occlusion-Robust Pedestrian Tracking in Crowded Scenes. ITSC 2015: 919-924 - [c171]Thomas Woudsma, Lykele B. Hazelhoff, Peter H. N. de With, Ivo M. Creusen:
Automated Generation of Road Marking Maps from Street-level Panoramic Images. ITSC 2015: 925-930 - [c170]Arash Pourtaherian, Svitlana Zinger, Peter H. N. de With, Hendrikus H. M. Korsten, Nenad Mihajlovic:
Benchmarking of state-of-the-art needle detection algorithms in 3D ultrasound data volumes. Image-Guided Procedures 2015: 94152B - [c169]Xinfeng Bao, Gijs Dubbelman, Svitlana Zinger, Peter H. N. de With:
Training-free moving object detection system based on hierarchical color-guided motion segmentation. MVA 2015: 154-157 - [c168]Lykele B. Hazelhoff, Ivo M. Creusen, Thomas Woudsma, Xinfeng Bao, Peter H. N. de With:
Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings. MVA 2015: 439-442 - 2014
- [j55]Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Supportive automatic annotation of early esophageal cancer using local gabor and color features. Neurocomputing 144: 92-106 (2014) - [j54]Daniel Ruijters, Svitlana Zinger, Luat Do, Peter H. N. de With:
Latency optimization for autostereoscopic volumetric visualization in image-guided interventions. Neurocomputing 144: 119-127 (2014) - [j53]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Exploiting street-level panoramic images for large-scale automated surveying of traffic signs. Mach. Vis. Appl. 25(7): 1893-1911 (2014) - [j52]Onno Eerenberg, Ronald M. Aarts, Peter H. N. de With:
PVR system design of advanced video navigation reinforced with audible sound. IEEE Trans. Consumer Electron. 60(4): 681-689 (2014) - [c167]Cheng Li, Ivo M. Creusen, Lykele B. Hazelhoff, Peter H. N. de With:
Detection and Recognition of Road Markings in Panoramic Images. ACCV Workshops (2) 2014: 448-458 - [c166]Xinfeng Bao, Solmaz Javanbakhti, Svitlana Zinger, Rob G. J. Wijnhoven, Peter H. N. de With:
Context-based object-of-interest detection for a generic traffic surveillance analysis system. AVSS 2014: 136-141 - [c165]Stan J. C. Geerts, Dion Cornelissen, Peter H. N. de With:
Embedded image enhancement for high-throughput cameras. Video Surveillance and Transportation Imaging Applications 2014: 90260Z - [c164]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Mutation detection for inventories of traffic signs from street-level panoramic images. Video Surveillance and Transportation Imaging Applications 2014: 90260V - [c163]Dennis W. J. M. van de Wouw, Kris van Rens, Hugo van Lint, Egbert G. T. Jaspers, Peter H. N. de With:
Real-time change detection for countering improvised explosive devices. Video Surveillance and Transportation Imaging Applications 2014: 90260T - [c162]M. J. H. van Gastel, Svitlana Zinger, H. M. C. Kemps, Peter H. N. de With:
e-health video system for performance analysis in heart revalidation cycling. ICCE-Berlin 2014: 31-35 - [c161]Julien A. Vijverberg, Roel T. M. Janssen, Remco de Zwart, Peter H. N. de With:
Perimeter-intrusion event classification for on-line detection using multiple instance learning solving temporal ambiguities. ICIP 2014: 2408-2412 - [c160]Arash Pourtaherian, Svitlana Zinger, Peter H. N. de With, Hendrikus H. M. Korsten, Nenad Mihajlovic:
Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes. ICIP 2014: 3602-3606 - [c159]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Optimal Performance-Efficiency Trade-off for Bag of Words Classification of Road Signs. ICPR 2014: 2996-3001 - [c158]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Extending the Stixel World with online self-supervised color modeling for road-versus-obstacle segmentation. ITSC 2014: 1400-1407 - [c157]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Exploring Distance-Aware Weighting Strategies for Accurate Reconstruction of Voxel-Based 3D Synthetic Models. MMM (1) 2014: 412-423 - [c156]Eleni Fotiadou, Svitlana Zinger, Walther E. Tjon a Ten, Sidarto Bambang-Oetomo, Peter H. N. de With:
Video-based facial discomfort analysis for infants. Visual Information Processing and Communication 2014: 90290F - [c155]Lykele B. Hazelhoff, Ron op het Veld, Ivo M. Creusen, Peter H. N. de With:
Subsign Detection and Classification System for Automated Traffic-sign Inventory Systems. VISAPP (2) 2014: 262-268 - [c154]Hani Javan Hemmat, Egor Bondarev, Gijs Dubbelman, Peter H. N. de With:
Improved ICP-based Pose Estimation by Distance-aware 3D Mapping. VISAPP (3) 2014: 360-367 - [c153]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Mutation Detection System for Actualizing Traffic Sign Inventories. VISAPP (2) 2014: 705-713 - [c152]Luat Do, Lingni Ma, Egor Bondarev, Peter H. N. de With:
On Multi-view Texture Mapping of Indoor Environments using Kinect Depth Sensors. VISAPP (2) 2014: 739-745 - [c151]Hani Javan Hemmat, Egor Bondarev, Gijs Dubbelman, Peter H. N. de With:
Evaluation of Distance-Aware KinFu Algorithm for Stereo Outdoor Data. VISAPP (2) 2014: 746-751 - [c150]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
System for semi-automated surveying of street-lighting poles from street-level panoramic images. WACV 2014: 129-136 - 2013
- [j51]Xinfeng Bao, Solmaz Javanbakhti, Svitlana Zinger, Rob G. J. Wijnhoven, Peter H. N. de With:
Context modeling combined with motion analysis for moving ship detection in port surveillance. J. Electronic Imaging 22(4): 041114 (2013) - [j50]Ivo M. Creusen, Solmaz Javanbakhti, Marijn J. H. Loomans, Lykele B. Hazelhoff, Nadejda Roubtsova, Svitlana Zinger, Peter H. N. de With:
ViCoMo: visual context modeling for scene understanding in video surveillance. J. Electronic Imaging 22(4): 041117 (2013) - [j49]Chrysi Papalazarou, Peter H. N. de With, Peter M. J. Rongen:
Sparse-plus-dense-RANSAC for estimation of multiple complex curvilinear models in 2D and 3D. Pattern Recognit. 46(3): 925-935 (2013) - [j48]Jungong Han, Eric J. Pauwels, Feng Wu, Peter H. N. de With:
Extracting semantics from multi-spectrum video. Pattern Recognit. Lett. 34(1): 1-2 (2013) - [j47]Onno Eerenberg, Jeroen Kettenis, Peter H. N. de With:
Block-based detection systems for visual artifact location. IEEE Trans. Consumer Electron. 59(2) (2013) - [c149]Willem P. Sanberg, Luat Do, Peter H. N. de With:
Flexible Multi-modal Graph-Based Segmentation. ACIVS 2013: 492-503 - [c148]Julien A. Vijverberg, Cornelis J. Koeleman, Peter H. N. de With:
Towards real-time and low-latency video object tracking by linking tracklets of incomplete detections. AVSS 2013: 300-305 - [c147]Lingni Ma, Raphael Favier, Luat Do, Egor R. V. Bondarev, Peter H. N. de With:
Plane segmentation and decimation of point clouds for 3D environment reconstruction. CCNC 2013: 43-49 - [c146]Egor Bondarev, Francisco Heredia, Rafael Favier, Lingni Ma, Peter H. N. de With:
On photo-realistic 3D reconstruction of large-scale and arbitrary-shaped environments. CCNC 2013: 621-624 - [c145]Lingni Ma, Thomas Whelan, Egor Bondarev, Peter H. N. de With, John McDonald:
Planar simplification and texturing of dense point cloud maps. ECMR 2013: 164-171 - [c144]Xinfeng Bao, Svitlana Zinger, Rob G. J. Wijnhoven, Peter H. N. de With:
Ship detection in port surveillance based on context and motion saliency analysis. Video Surveillance and Transportation Imaging Applications 2013: 86630D - [c143]Nadejda Roubtsova, Peter H. N. de With:
Group localisation and unsupervised detection and classification of basic crowd behaviour events for surveillance applications. Video Surveillance and Transportation Imaging Applications 2013: 866302 - [c142]Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With:
Performance analysis method for RT systems: Promartes for autonomous robot. FDL 2013: 1-8 - [c141]Bahman Zafarifar, Erwin B. Bellers, Peter H. N. de With:
Application and evaluation of texture-adaptive skin detection in TV image enhancement. ICCE 2013: 88-91 - [c140]Onno Eerenberg, Jeroen Kettenis, Peter H. N. de With:
Block-based detection systems for visual artifact location. ICCE 2013: 112-113 - [c139]Lingni Ma, Luat Do, Egor Bondarev, Peter H. N. de With:
3D colored model generation based on multiview textures and triangular mesh. ICDSC 2013: 1-6 - [c138]Marijn J. H. Loomans, Peter H. N. de With:
Complexity reduction of wavelet codecs through modified quality control. ICIP 2013: 1670-1674 - [c137]Arash Pourtaherian, Rob G. J. Wijnhoven, Peter H. N. de With:
TROD: Tracking with occlusion handling and drift correction. ICIP 2013: 2440-2444 - [c136]Marijn J. H. Loomans, Peter H. N. de With, Rob G. J. Wijnhoven:
Robust automatic ship tracking in harbours using active cameras. ICIP 2013: 4117-4121 - [c135]Xinfeng Bao, Svitlana Zinger, Rob G. J. Wijnhoven, Peter H. N. de With:
Robust moving ship detection using context-based motion analysis and occlusion handling. ICMV 2013: 90670F - [c134]Wouter J. R. Gevaert, Peter H. N. de With:
Robust face recognition algorithm for identifition of disaster victims. Image Processing: Algorithms and Systems 2013: 865503 - [c133]Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Computer-aided detection of early cancer in the esophagus using HD endoscopy images. Computer-Aided Diagnosis 2013: 86700V - [c132]Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy. VISAPP (1) 2013: 238-243 - [c131]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Robust classification system with reliability prediction for semi-automatic traffic-sign inventory systems. WACV 2013: 125-132 - [r1]Svitlana Zinger, Daniel Ruijters, Rudolph M. Snoeren, Chrysi Papalazarou, Peter H. N. de With:
Innovations in 3D Interventional X-ray Imaging. Handbook of Medical and Healthcare Technologies 2013: 79-119 - 2012
- [j46]A. H. R. Albers, Peter H. N. de With:
Task complexity analysis and QoS management for mapping dynamic video-processing tasks on a multi-core platform. J. Real Time Image Process. 7(3): 185-202 (2012) - [j45]Jungong Han, Peter H. N. de With, Ashley Merien, Guid Oei:
Intelligent trainee behavior assessment system for medical training employing video analysis. Pattern Recognit. Lett. 33(4): 453-461 (2012) - [j44]Bahman Zafarifar, Tim van den Kerkhof, Peter H. N. de With:
Texture-adaptive skin detection for TV and its real-time implementation on DSP and FPGA. IEEE Trans. Consumer Electron. 58(1): 161-169 (2012) - [j43]Jungong Han, Eric J. Pauwels, Paul M. de Zeeuw, Peter H. N. de With:
Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment. IEEE Trans. Consumer Electron. 58(2): 255-263 (2012) - [j42]Luat Do, Germán Bravo, Svitlana Zinger, Peter H. N. de With:
GPU-accelerated real-time free-viewpoint DIBR for 3DTV. IEEE Trans. Consumer Electron. 58(2): 633-640 (2012) - [j41]Svitlana Zinger, Daniel Ruijters, Luat Do, Peter H. N. de With:
View Interpolation for Medical Images on Autostereoscopic Displays. IEEE Trans. Circuits Syst. Video Technol. 22(1): 128-137 (2012) - [c130]Xinfeng Bao, Svitlana Zinger, Rob G. J. Wijnhoven, Peter H. N. de With:
Water Region Detection Supporting Ship Identification in Port Surveillance. ACIVS 2012: 444-454 - [c129]Lykele B. Hazelhoff, Ivo M. Creusen, Dennis W. J. M. van de Wouw, Peter H. N. de With:
Large-scale classification of traffic signs under real-world conditions. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems 2012: 83040W - [c128]Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With:
Low-Level Profiling and MARTE-Compatible Modeling of Software Components for Real-Time Systems. EUROMICRO-SEAA 2012: 216-223 - [c127]Bahman Zafarifar, Tim van den Kerkhof, Peter H. N. de With:
Feasibility of real-Time skin detection on TV DSP and FPGA platforms. ICCE 2012: 469-470 - [c126]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Robust classification of traffic signs using multi-view cues. ICIP 2012: 457-460 - [c125]Ivo M. Creusen, Lykele B. Hazelhoff, Peter H. N. de With:
Color transformation for improved traffic sign detection. ICIP 2012: 461-464 - [c124]Lingni Ma, Luat Do, Peter H. N. de With:
Depth-guided inpainting algorithm for Free-Viewpoint Video. ICIP 2012: 1721-1724 - [c123]Nadejda Roubtsova, Rob G. J. Wijnhoven, Peter H. N. de With:
Integrated text detection and recognition in natural images. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 829507 - [c122]Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With:
3D catheter reconstruction using non-rigid structure-from-motion and robotics modeling. Image-Guided Procedures 2012: 831620 - [c121]Ivo M. Creusen, Lykele B. Hazelhoff, Peter H. N. de With:
A semi-automatic traffic sign detection, classification, and positioning system. Visual Information Processing and Communication 2012: 83050Y - [c120]Lykele B. Hazelhoff, Ivo M. Creusen, Peter H. N. de With:
Robust detection, classification and positioning of traffic signs from street-level panoramic images for inventory purposes. WACV 2012: 313-320 - [c119]Eltjo R. Poort, Andrew Key, Peter H. N. de With, Hans van Vliet:
Issues Dealing with Non-Functional Requirements across the Contractual Divide. WICSA/ECSA 2012: 315-319 - 2011
- [j40]Jungong Han, Dirk Farin, Peter H. N. de With:
A Mixed-Reality System for Broadcasting Sports Video to Mobile Devices. IEEE Multim. 18(2): 72-84 (2011) - [j39]Sascha D. Cvetkovic, Johan Schirris, Peter H. N. de With:
Efficient Operator for Local Energy Measurements to Enhance an Image Signal. IEEE J. Sel. Top. Signal Process. 5(2): 217-229 (2011) - [j38]Jungong Han, Peter H. N. de With:
Real-time multiple people tracking for automatic group-behavior evaluation in delivery simulation training. Multim. Tools Appl. 51(3): 913-933 (2011) - [j37]Bahman Zafarifar, Jingyue Cao, Peter H. N. de With:
Instantaneously responsive subtitle localization and classification for TV applications. IEEE Trans. Consumer Electron. 57(1): 274-282 (2011) - [j36]Onno Eerenberg, Arie Koppelaar, Armand M. Stuivenwold, Peter H. N. de With:
IP-recovery in the DVB-H Link layer for TV on mobile. IEEE Trans. Consumer Electron. 57(2): 339-347 (2011) - [j35]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Low-complexity wavelet-based scalable image & video coding for home-use surveillance. IEEE Trans. Consumer Electron. 57(2): 507-515 (2011) - [j34]Rob G. J. Wijnhoven, Peter H. N. de With:
Identity verification using computer vision for automatic garage door opening. IEEE Trans. Consumer Electron. 57(2): 906-914 (2011) - [j33]Onno Eerenberg, Peter Wendrich, Eric H. M. van Orsouw, Peter H. N. de With:
Efficient validation/verification of a robust DVB-H link layer. IEEE Trans. Consumer Electron. 57(4): 1679-1687 (2011) - [c118]Selçuk Sandikci, Svitlana Zinger, Peter H. N. de With:
Detection of Human Groups in Videos. ACIVS 2011: 507-518 - [c117]Lykele B. Hazelhoff, Peter H. N. de With:
Robust Model-Based Detection of Gable Roofs in Very-High-Resolution Aerial Images. CAIP (1) 2011: 598-605 - [c116]Julien A. Vijverberg, Cornelis J. Koeleman, Peter H. N. de With:
Clustering of tracklets for on-line multi-target tracking in networked camera systems. CISDA 2011: 24-30 - [c115]Luat Do, Sveta Zinger, Peter H. N. de With:
Warping error analysis and reduction for depth-image-based rendering in 3DTV. SD&A 2011: 78630B - [c114]Rob G. J. Wijnhoven, Peter H. N. de With:
Unsupervised sub-categorization for object detection: Finding cars from a driving vehicle. ICCV Workshops 2011: 2077-2083 - [c113]Luat Do, Germán Bravo, Svitlana Zinger, Peter H. N. de With:
Real-time free-viewpoint DIBR on GPUs for large base-line multi-view 3DTV videos. VCIP 2011: 1-4 - [c112]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Real-time Two-Stage SPECK (TSSP) design and implementation for scalable video coding on embedded systems. VCIP 2011: 1-4 - [c111]Lykele B. Hazelhoff, Peter H. N. de With:
Localization of buildings with a gable roof in very high-resolution aerial images. Visual Information Processing and Communication 2011: 788208 - 2010
- [j32]Sascha D. Cvetkovic, Helios Jellema, Peter H. N. de With:
Automatic Level Control for Video Cameras towards HDR Techniques. EURASIP J. Image Video Process. 2010 (2010) - [j31]Jungong Han, Ling Shao, Peter H. N. de With, Ling Guan:
Video Analysis, Abstraction, and Retrieval: Techniques and Applications. Int. J. Digit. Multim. Broadcast. 2010: 348914:1-348914:2 (2010) - [j30]Weilun Lao, Jungong Han, Peter H. N. de With:
Flexible Human Behavior Analysis Framework for Video Surveillance Applications. Int. J. Digit. Multim. Broadcast. 2010: 920121:1-920121:9 (2010) - [j29]Sveta Zinger, Luat Do, Peter H. N. de With:
Free-viewpoint depth image based rendering. J. Vis. Commun. Image Represent. 21(5-6): 533-541 (2010) - [c110]Prarthana Shrestha, Hans Weda, Mauro Barbieri, Peter H. N. de With:
Video Quality Analysis for Concert Video Mashup Generation. ACIVS (2) 2010: 1-12 - [c109]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Enhanced prediction for motion estimation in Scalable Video Coding. ICIP 2010: 1301-1304 - [c108]Luat Do, Svitlana Zinger, Peter H. N. de With:
Objective quality analysis for free-viewpoint DIBR. ICIP 2010: 2629-2632 - [c107]Ivo M. Creusen, Rob G. J. Wijnhoven, Ernst Herbschleb, Peter H. N. de With:
Color exploitation in hog-based traffic sign detection. ICIP 2010: 2669-2672 - [c106]Rudolph M. Snoeren, Peter H. N. de With:
Geometric averaging of X-ray signals in automatic exposure control. ICIP 2010: 3525-3528 - [c105]Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With:
Surgical needle reconstruction using small-angle multi-view X-ray. ICIP 2010: 4193-4196 - [c104]Luat Do, Svitlana Zinger, Peter H. N. de With:
Conversion of free-viewpoint 3D multi-view video for stereoscopic displays. ICME 2010: 1730-1734 - [c103]Rob G. J. Wijnhoven, Peter H. N. de With:
Fast Training of Object Detection Using Stochastic Gradient Descent. ICPR 2010: 424-427 - [c102]Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With:
Multiple Model Estimation for the Detection of Curvilinear Segments in Medical X-ray Images Using Sparse-plus-dense-RANSAC. ICPR 2010: 2484-2487 - [c101]Rob Albers, Eric Suijs, Peter H. N. de With:
Complexity prediction of automatic image registration: a case study on motion-compensated DSA. ISBI 2010: 1205-1208 - [c100]Prarthana Shrestha, Peter H. N. de With, Hans Weda, Mauro Barbieri, Emile H. L. Aarts:
Automatic mashup generation from multiple-camera concert recordings. ACM Multimedia 2010: 541-550 - [c99]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Temporal signal energy correction and low-complexity encoder feedback for lossy scalable video coding. PCS 2010: 394-397 - [c98]Julien A. Vijverberg, Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Two novel motion-based algorithms for surveillance video analysis on embedded platforms. Real-Time Image and Video Processing 2010: 77240I - [c97]Julien A. Vijverberg, Peter H. N. de With:
Two-dimensional systolic-array architecture for pixel-level vision tasks. Real-Time Image and Video Processing 2010: 772408 - [c96]Ping Li, Rene Klein Gunnewiek, Peter H. N. de With:
Detecting critical configurations for Euclidean 3D reconstruction by analyzing the scaled measurement matrix. VCIP 2010: 77441Z
2000 – 2009
- 2009
- [j28]Hong Yin Lim, Ashraf A. Kassim, Peter H. N. de With:
Predictive and adaptive rood pattern with large motion search for H.264 video coding. J. Electronic Imaging 18(3): 033017 (2009) - [j27]Philipp Merkle, Yannick Morvan, Aljoscha Smolic, Dirk Farin, Karsten Müller, Peter H. N. de With, Thomas Wiegand:
The effects of multiview depth video compression on multiview rendering. Signal Process. Image Commun. 24(1-2): 73-88 (2009) - [j26]Weilun Lao, Jungong Han, Peter H. N. de With:
Automatic video-based human motion analyzer for consumer surveillance system. IEEE Trans. Consumer Electron. 55(2): 591-598 (2009) - [c95]Ping Li, Rene Klein Gunnewiek, Peter H. N. de With:
Detecting Critical Configurations for Dividing Long Image Sequences for Factorization-Based 3-D Scene Reconstruction. ACCV (2) 2009: 381-394 - [c94]Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With:
Evaluation of Interest Point Detectors for Non-planar, Transparent Scenes. ACIVS 2009: 1-11 - [c93]Rob G. J. Wijnhoven, Peter H. N. de With:
Comparing Feature Matching for Object Categorization in Video Surveillance. ACIVS 2009: 410-421 - [c92]Lykele B. Hazelhoff, Jungong Han, Sidarto Bambang-Oetomo, Peter H. N. de With:
Behavioral State Detection of Newborns Based on Facial Expression Analysis. ACIVS 2009: 698-709 - [c91]Julien A. Vijverberg, Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling. AVSS 2009: 448-453 - [c90]Rob Albers, Eric Suijs, Peter H. N. de With:
QoS management of dynamic video tasks by task splitting and skipping. ESTIMedia 2009: 64-69 - [c89]Rob Albers, Eric Suijs, Peter H. N. de With:
Resource usage prediction for groups of dynamic image-processing tasks using Markov modeling. ICASSP 2009: 1929-1932 - [c88]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Real-time multi-level wavelet lifting scheme on a fixed-point DSP for JPEG 2000 and scalable video coding. DPS 2009: 1-6 - [c87]Goran Petrovic, Aneez K. Shahulhameed, Sveta Zinger, Peter H. N. de With:
Region-based all-in-focus light field rendering. ICIP 2009: 549-552 - [c86]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Highly-parallelized motion estimation for Scalable Video Coding. ICIP 2009: 1577-1580 - [c85]Rob Albers, Eric Suijs, Peter H. N. de With:
Resource prediction and quality control for parallel execution of heterogeneous medical imaging tasks. ICIP 2009: 2317-2320 - [c84]Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With:
Real-time scalable video codec implementation for surveillance. ICME 2009: 1130-1133 - [c83]Ivo M. Creusen, Rob G. J. Wijnhoven, Peter H. N. de With:
Applying Feature Selection Techniques for Visual Dictionary Creation in Object Classification. IPCV 2009: 722-727 - [c82]Rob Albers, Eric Suijs, Peter H. N. de With:
Triple-C: Resource-usage prediction for semi-automatic parallelization of groups of dynamic image-processing tasks. IPDPS 2009: 1-8 - 2008
- [j25]Fei Zuo, Peter H. N. de With:
Cascaded Face Detection Using Neural Network Ensembles. EURASIP J. Adv. Signal Process. 2008 (2008) - [j24]Fei Zuo, Peter H. N. de With:
Facial feature extraction by a cascade of model-based algorithms. Signal Process. Image Commun. 23(3): 194-211 (2008) - [j23]Sascha D. Cvetkovic, Johan Schirris, Peter H. N. de With:
Non-linear locally-adaptive video contrast enhancement algorithm without artifacts. IEEE Trans. Consumer Electron. 54(1): 1-9 (2008) - [j22]Sascha D. Cvetkovic, Jan Klijn, Peter H. N. de With:
Tone-mapping functions and multiple-exposure techniques for high dynamic-range images. IEEE Trans. Consumer Electron. 54(2): 904-911 (2008) - [j21]Yannick Morvan, Dirk Farin, Peter H. N. de With:
System architecture for free-viewpoint video and 3D-TV. IEEE Trans. Consumer Electron. 54(2): 925-932 (2008) - [j20]Onno Eerenberg, Peter H. N. de With:
System requirements and considerations for visual table of contents in PVR. IEEE Trans. Consumer Electron. 54(3): 1206-1214 (2008) - [j19]Hong Lim, Ashraf A. Kassim, Peter H. N. de With:
Predictive 3D search algorithm for multi-frame motion estimation. IEEE Trans. Consumer Electron. 54(4): 1938-1946 (2008) - [j18]Jungong Han, Dirk Farin, Peter H. N. de With:
Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1628-1638 (2008) - [c81]Lykele B. Hazelhoff, Jungong Han, Peter H. N. de With:
Video-Based Fall Detection in the Home Using Principal Component Analysis. ACIVS 2008: 298-309 - [c80]Ping Li, Rene Klein Gunnewiek, Peter H. N. de With:
Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions. ACIVS 2008: 872-882 - [c79]Weilun Lao, Jungong Han, Peter H. N. de With:
Fast Detection and Modeling of Human-Body Parts from Monocular Video. AMDO 2008: 380-389 - [c78]Jungong Han, Minwei Feng, Peter H. N. de With:
A real-time video surveillance system with human occlusion handling using nonlinear regression. ICME 2008: 305-308 - [c77]Rob Albers, Eric Suijs, Peter H. N. de With:
Memory-efficient 3D multi-resolution image enhancement and processing to increase throughput. Image-Guided Procedures 2008: 69182Y - [c76]Sascha D. Cvetkovic, Jan Klijn, Peter H. N. de With:
Optimization of tone-mapping functions in video cameras for high dynamic range images. Real-Time Image Processing 2008: 68110Q - [c75]Rob Albers, Eric Suijs, Peter H. N. de With:
Optimization model for memory bandwidth usage in x-ray image enhancement. Real-Time Image Processing 2008: 681104 - [c74]Julien A. Vijverberg, Peter H. N. de With:
Hardware acceleration for tracking by computing low-order geometric moments. SiPS 2008: 43-48 - 2007
- [c73]Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H. N. de With:
Texture-Independent Feature-Point Matching (TIFM) from Motion Coherence. ACCV (1) 2007: 789-799 - [c72]Rob G. J. Wijnhoven, Peter H. N. de With:
Patch-Based Experiments with Object Classification in Video Surveillance. ACIVS 2007: 285-296 - [c71]Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H. N. de With:
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines. ACIVS 2007: 427-438 - [c70]Yannick Morvan, Dirk Farin, Peter H. N. de With:
Multiview Depth-Image Compression Using an Extended H.264 Encoder. ACIVS 2007: 675-686 - [c69]Bahman Zafarifar, Peter H. N. de With:
Grass Detection for Picture Quality Enhancement of TV Video. ACIVS 2007: 687-698 - [c68]Rob G. J. Wijnhoven, Peter H. N. de With:
Experiments with patch-based object classification. AVSS 2007: 105-110 - [c67]Egor R. V. Bondarev, Michel R. V. Chaudron, Peter H. N. de With:
CARAT: a toolkit for design and performance analysis of component-based embedded systems. DATE 2007: 1024-1029 - [c66]Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H. N. de With:
Contrast-Invariant Feature Point Correspondence. ICASSP (1) 2007: 477-480 - [c65]Julien A. Vijverberg, Nick A. H. M. de Koning, Jungong Han, Peter H. N. de With, Dion Cornelissen:
High-Level Traffic-Violation Detection for Embedded Traffic Analysis. ICASSP (2) 2007: 793-796 - [c64]Yannick Morvan, Dirk Farin, Peter H. N. de With:
Depth-Image Compression Based on an R-D Optimized Quadtree Decomposition for the Transmission of Multiview Images. ICIP (5) 2007: 105-108 - [c63]Yannick Morvan, Dirk Farin, Peter H. N. de With:
Incorporating Depth-Image Based View-Prediction into H.264 for Multiview-Image Coding. ICIP (1) 2007: 205-208 - [c62]Sascha D. Cvetkovic, Johan Schirris, Peter H. N. de With:
Locally-Adaptive Image Contrast Enhancement without Noise and Ringing Artifacts. ICIP (3) 2007: 557-560 - [c61]Goran Petrovic, Dirk Farin, Peter H. N. de With:
A distributed delivery model for 3D-video streams. IMMERSCOM 2007: 5 - [c60]Jungong Han, Peter H. N. de With:
3-D Camera Modeling and Its Applications in Sports Broadcast Video Analysis. MCAM 2007: 434-443 - [c59]Rob Albers, Marcel Boosten, Peter H. N. de With:
Options for new real-time image-processing architectures in cardiovascular systems. Image-Guided Procedures 2007: 65092Q - [c58]Jungong Han, Dirk Farin, Peter H. N. de With:
A real-time augmented-reality system for sports broadcast video enhancement. ACM Multimedia 2007: 337-340 - [c57]Dirk Farin, Wolfgang Effelsberg, Peter H. N. de With:
Floor-plan reconstruction from panoramic images. ACM Multimedia 2007: 823-826 - [c56]Jungong Han, Dirk Farin, Peter H. N. de With:
Generic 3-D Modeling for Content Analysis of Court-Net Sports Sequences. MMM (2) 2007: 279-288 - [c55]Weilun Lao, Jungong Han, Peter H. N. de With:
A Matching-Based Approach for Human Motion Analysis. MMM (2) 2007: 405-414 - [c54]Eltjo R. Poort, Herman Postema, Andrew Key, Peter H. N. de With:
The Influence of CMMI on Establishing an Architecting Process. QoSA 2007: 215-230 - [c53]Dirk Farin, Peter H. N. de With:
A generic software-framework for distributed, high-performance processing of multi-view video. Real-Time Image Processing 2007: 64960B - [c52]Milan Pastrnak, Peter H. N. de With, Jef L. van Meerbergen:
Real-time aware rendering of scalable arbitrary-shaped MPEG-4 decoder for multiprocessor systems. Real-Time Image Processing 2007: 64960D - 2006
- [j17]Jungong Han, Dirk Farin, Peter H. N. de With, Weilun Lao:
Real-time video content analysis tool for consumer media storage system. IEEE Trans. Consumer Electron. 52(3): 870-878 (2006) - [j16]Milan Pastrnak, Peter H. N. de With, Jef L. van Meerbergen:
Qos concept for scalable MPEG-4 video object decoding on multimedia (NoC) chips. IEEE Trans. Consumer Electron. 52(4): 1418-1426 (2006) - [j15]Dirk Farin, Peter H. N. de With:
Enabling arbitrary rotational camera motion using multisprites with minimum coding cost. IEEE Trans. Circuits Syst. Video Technol. 16(4): 492-506 (2006) - [c51]Jungong Han, Peter H. N. de With:
Content-Based Model Template Adaptation and Real-Time System for Behavior Interpretation in Sports Video. ACIVS 2006: 474-484 - [c50]Bahman Zafarifar, Peter H. N. de With:
Blue Sky Detection for Picture Quality Enhancement. ACIVS 2006: 522-532 - [c49]Egor Bondarev, Michel R. V. Chaudron, Peter H. N. de With:
A Process for Resolving Performance Trade-Offs in Component-Based Architectures. CBSE 2006: 254-269 - [c48]Jungong Han, Weilun Lao, Peter H. N. de With:
Scene-Level Analysis for Tennis Sports Video using Weighted Linear Combination of Visual Cues. EuroIMSA 2006: 193-197 - [c47]Weilun Lao, Jungong Han, Peter H. N. de With:
Automatic Sports Video Analysis using Audio Clues and Context Knowledge. EuroIMSA 2006: 198-202 - [c46]Egor Bondarev, Michel R. V. Chaudron, Peter H. N. de With:
Compositional Performance Analysis of Component-Based Systems on Heterogeneous Multiprocessor Platforms. EUROMICRO-SEAA 2006: 81-91 - [c45]Sascha D. Cvetkovic, Peter Bakker, Johan Schirris, Peter H. N. de With:
Background Estimation and Adaptation Model with Light-Change Removal for Heavily Down-Sampled Video Surveillance Signals. ICIP 2006: 1829-1832 - [c44]Bao Lei, Rene Klein Gunnewiek, Peter H. N. de With:
Reuse of Motion Processing for Camera Stabilization and Video Coding. ICME 2006: 597-600 - [c43]Goran Petrovic, Peter H. N. de With:
Near-Future Streaming Framework for 3D-TV Applications. ICME 2006: 1881-1884 - [c42]Egor Bondarev, Michel R. V. Chaudron, Heorhiy Byelas, Peter H. N. de With:
A Toolkit for Design and Performance Analysis of Real-Time Component-Based Software Systems. ICSEA 2006: 4 - [c41]Milan Pastrnak, Peter H. N. de With, Jef L. van Meerbergen:
Realization of QoS management using negotiation algorithms for multiprocessor NoC. ISCAS 2006 - [c40]Dirk Farin, Peter H. N. de With:
Generic Framework for Parallel and Distributed Processing of Video-Data. ISPA Workshops 2006: 823-832 - 2005
- [j14]Fei Zuo, Peter H. N. de With:
Real-time embedded face recognition for smart home. IEEE Trans. Consumer Electron. 51(1): 183-190 (2005) - [j13]Onno Eerenberg, Peter H. N. de With, Joep P. van Gassel, Declan Patrick Kelly:
MPEG-2 compliant trick play over a digital interface. IEEE Trans. Consumer Electron. 51(3): 958-966 (2005) - [c39]Fei Zuo, Peter H. N. de With, Michiel van der Veen:
Multistage Face Recognition Using Adaptive Feature Selection and Classification. ACIVS 2005: 17-25 - [c38]Fei Zuo, Peter H. N. de With:
Fast Face Detection Using a Cascade of Neural Network Ensembles. ACIVS 2005: 26-34 - [c37]Fei Zuo, Peter H. N. de With:
Facial feature extraction using a cascade of model-based algorithms. AVSS 2005: 348-353 - [c36]Dirk Farin, Peter H. N. de With:
Estimating physical camera parameters based on multisprite motion estimation. Electronic Imaging: Image and Video Communications and Processing 2005 - [c35]Yannick Morvan, Dirk Farin, Peter H. N. de With:
Matching Pursuit Dictionary Pruning for MPEG-4 Video Object Coding. EuroIMSA 2005: 476-481 - [c34]Egor Bondarev, Peter H. N. de With, Michel R. V. Chaudron, Johan Muskens:
Modelling of Input-Parameter Dependency for Performance Predictions of Component-Based Embedded Systems. EUROMICRO-SEAA 2005: 36-43 - [c33]Yannick Morvan, Dirk Farin, Peter H. N. de With:
Coding depth images with piecewise linear functions for multi-view synthesis. EUSIPCO 2005: 1-4 - [c32]Dirk Farin, Peter H. N. de With:
Misregistration errors in change detection algorithms and how to avoid them. ICIP (2) 2005: 438-441 - [c31]Dirk Farin, Jungong Han, Peter H. N. de With:
Fast camera calibration for the analysis of sport sequences. ICME 2005: 482-485 - [c30]Jan Nesvadba, Pedro Fonseca, Alexander Sinitsyn, Fons de Lange, Martijn Thijssen, Patrick van Kaam, Hong Liu, Rien van Leeuwen, Johan J. Lukkien, Andrei Korostelev, Jan Ypma, Bart Kroon, Hasan Celik, Alan Hanjalic, Suphi Umut Naci, Jenny Benois-Pineau, Peter H. N. de With, Jungong Han:
Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks. ICME 2005: 1549-1552 - [c29]Peter Poplavko, Twan Basten, Milan Pastrnak, Jef L. van Meerbergen, Marco Bekooij, Peter H. N. de With:
Extended abstract: estimation times of on-chip multiprocessor stream-oriented applications. MEMOCODE 2005: 250-251 - [c28]Eltjo R. Poort, Hans Adriaanse, Arie Kuijt, Peter H. N. de With:
Successful Architecture for Short Message Service Center. WICSA 2005: 299-300 - 2004
- [j12]Stephan Mietens, Peter H. N. de With, Christian Hentschel:
New Complexity Scalable MPEG Encoding Techniques for Mobile Applications. EURASIP J. Adv. Signal Process. 2004(2): 236-252 (2004) - [j11]Stephan Mietens, Peter H. N. de With, Christian Hentschel:
Computational-complexity scalable motion estimation for mobile MPEG encoding. IEEE Trans. Consumer Electron. 50(1): 281-291 (2004) - [c27]Egor Bondarev, Johan Muskens, Peter H. N. de With, Michel R. V. Chaudron, Johan Lukkien:
Predicting Real-Time Properties of Component Assemblies: A Scenario-Simulation Approach. EUROMICRO 2004: 40-47 - [c26]Egor Bondarev, Peter H. N. de With, Michel R. V. Chaudron:
Towards Predicting Real-Time Properties of a Component Assembly. EUROMICRO 2004: 601-610 - [c25]Fei Zuo, Peter H. N. de With:
Real-Time Facial Feature Extraction by Cascaded Parameter Prediction and Image Optimization. ICIAR (2) 2004: 651-659 - [c24]Dirk Farin, Magnus Pfeffer, Peter H. N. de With, Wolfgang Effelsberg:
Corridor scissors: a semi-automatic segmentation tool employing minimum-cost circular paths. ICIP 2004: 1177-1180 - [c23]Fei Zuo, Peter H. N. de With:
Fast facial feature extraction using a deformable shape model with haar-wavelet based local texture attributes. ICIP 2004: 1425-1428 - [c22]Dirk Farin, Peter H. N. de With, Wolfgang Effelsberg:
Video-object segmentation using multi-sprite background subtraction. ICME 2004: 343-346 - [c21]Fei Zuo, Peter H. N. de With:
Real-time facial feature extraction using statistical shape model and Haar-wavelet based feature search. ICME 2004: 1443-1446 - [c20]Milan Pastrnak, Peter Poplavko, Peter H. N. de With, Dirk Farin:
Data-flow Timing Models of Dynamic Multimedia Applications for Multiprocessor Systems. IWSOC 2004: 206-209 - [c19]Dirk Farin, Susanne Krabbe, Peter H. N. de With, Wolfgang Effelsberg:
Robust camera calibration for sport videos using court models. Storage and Retrieval Methods and Applications for Multimedia 2004: 80-91 - [c18]Sascha D. Cvetkovic, Peter H. N. de With:
Image enhancement circuit using nonlinear processing curve and constrained histogram range equalization. VCIP 2004 - [c17]Dirk Farin, Peter H. N. de With, Wolfgang Effelsberg:
Minimizing MPEG-4 sprite coding cost using multi-sprites. VCIP 2004 - [c16]Stephan Mietens, Peter H. N. de With, Christian Hentschel:
Resource-aware complexity scalability for mobile MPEG encoding. VCIP 2004 - [c15]Fei Zuo, Peter H. N. de With:
Multistage feature extraction for accurate face alignment. VCIP 2004 - [c14]Eltjo R. Poort, Peter H. N. de With:
Resolving Requirement Conflicts through Non-Functional Decomposition. WICSA 2004: 145-154 - 2003
- [j10]Stephan Mietens, Peter H. N. de With, Christian Hentschel:
New DCT Computation Technique Based on Scalable Resources. J. VLSI Signal Process. 34(3): 189-201 (2003) - [c13]Dirk Farin, Peter H. N. de With, Wolfgang Effelsberg:
Robust background estimation for complex video sequences. ICIP (1) 2003: 145-148 - [c12]Sander Smit, Peter H. N. de With, Gert-Jan van Dijk:
Evolution of a Software Maintenance Organization from Cost Center to Service Center. ICSM 2003: 209- - [c11]Dirk Farin, Peter H. N. de With, Wolfgang Effelsberg:
A segmentation system with model-assisted completion of video objects. VCIP 2003: 366-377 - [c10]Fei Zuo, Peter H. N. de With:
Toward fast feature adaptation and localization for real-time face recognition systems. VCIP 2003: 1857-1865 - 2002
- [j9]Dirk Farin, Niels Mache, Peter H. N. de With:
A software-based high-quality MPEG-2 encoder employing scene change detection and adaptive quantization. IEEE Trans. Consumer Electron. 48(4): 887-897 (2002) - [c9]Stephan Mietens, Gerben J. Hekstra, Peter H. N. de With, Christian Hentschel:
New flexible motion estimation technique for scalable MPEG encoding using display frame order and multi-temporal references. ICIP (1) 2002: 701-704 - [c8]Dirk Farin, Wolfgang Effelsberg, Peter H. N. de With:
Robust clustering-based video-summarization with integration of domain-knowledge. ICME (1) 2002: 89-92 - [c7]Stephan Mietens, Peter H. N. de With, Christian Hentschel:
New scalable three-stage motion estimation technique for mobile MPEG encoding. ICME (1) 2002: 685-688 - [c6]Egbert G. T. Jaspers, Erik B. van der Tol, Peter H. N. de With:
System-Level Analysis for MPEG-4 Decoding on a Multi-Processor Architecture. IPDPS 2002 - 2001
- [j8]Egbert G. T. Jaspers, Peter H. N. de With:
Bandwidth reduction for video processing in consumer systems. IEEE Trans. Consumer Electron. 47(4): 885-894 (2001) - [c5]Stephan Mietens, Peter H. N. de With, Christian Hentschel:
New DCT computation algorithm for video quality scaling. ICIP (3) 2001: 462-465 - [c4]Dirk Farin, Niels Mache, Peter H. N. de With:
SAMPEG: a scene-adaptive parallel MPEG-2 software encoder. VCIP 2001: 272-283 - 2000
- [j7]Mihaela van der Schaar, Peter H. N. de With:
Near-lossless complexity-scalable embedded compression algorithm for cost reduction in DTV receivers. IEEE Trans. Consumer Electron. 46(4): 923-933 (2000) - [j6]Mihaela van der Schaar-Mitrea, Peter H. N. de With:
Hybrid compression of video with graphics in DTV communication systems. IEEE Trans. Consumer Electron. 46(4): 1007-1017 (2000) - [c3]Egbert G. T. Jaspers, Bert S. Visser, Peter H. N. de With:
Synchronization of video in distributed computing systems. VCIP 2000: 1430-1440
1990 – 1999
- 1999
- [j5]Egbert G. T. Jaspers, Peter H. N. de With, Johan G. W. M. Janssen:
A flexible heterogeneous video processor system for television applications. IEEE Trans. Consumer Electron. 45(1): 1-12 (1999) - [j4]Egbert G. T. Jaspers, Peter H. N. de With:
Chip-set for video display of multimedia information. IEEE Trans. Consumer Electron. 45(3): 706-715 (1999) - [j3]Peter H. N. de With, Egbert G. T. Jaspers, Jef L. van Meerbergen, Adwin H. Timmer, Marino T. J. Strik:
A video display processing platform for future TV concepts. IEEE Trans. Consumer Electron. 45(4): 1230-1240 (1999) - [c2]Egbert G. T. Jaspers, Peter H. N. de With:
Architecture of Embedded Video Processing in a Multimedia Chip-Set. ICIP (2) 1999: 787-791 - 1992
- [j2]Peter H. N. de With, Marcel Breeuwer, Peter A. M. van Grinsven:
Data Compression Systems for Home-Use Digital Video Recording. IEEE J. Sel. Areas Commun. 10(1): 97-121 (1992) - [j1]Peter H. N. de With, A. M. A. Rijckaert, J. Kaaden, H.-W. Keesen:
Digital consumer HDTV recording based on motion-compensated DCT coding of video signals. Signal Process. Image Commun. 4(4-5): 401-420 (1992) - 1990
- [c1]Marcel M. Breeuwer, Peter H. N. de With:
Source coding of HDTV with compatibility to TV. VCIP 1990
Coauthor Index
aka: Jacques J. G. H. M. Bergman
aka: Tim Boers
aka: Egor R. V. Bondarev
aka: Kiki N. Fockens
aka: Jelmer B. Jukema
aka: Sander R. Klomp
aka: Joost A. van der Putten
aka: Ruud J. G. van Sloun
aka: Farhad Ghazvinian Zanjani
aka: Sveta Zinger
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