David Stutz

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusEmail yang diverifikasi di mpi-inf.mpg.de
Matthias HeinProfessor of Computer Science, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
Arnaud DoucetGoogle DeepMindEmail yang diverifikasi di google.com
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityEmail yang diverifikasi di vision.rwth-aachen.de
Ali Taylan CemgilResearch Scientist, DeepMind UKEmail yang diverifikasi di google.com
Yong GuoAssistant Chief Scientist at Huawei, Max Planck Institute for Informatics, SCUTEmail yang diverifikasi di huawei.com
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterEmail yang diverifikasi di uni-tuebingen.de
Alexander HermansRWTH Aachen UniversityEmail yang diverifikasi di vision.rwth-aachen.de
Nandhini ChandramoorthyIBM TJ Watson Research CenterEmail yang diverifikasi di ibm.com
Sukrut RaoMax Planck Institute for Informatics, Saarland Informatics CampusEmail yang diverifikasi di mpi-inf.mpg.de
Abhijit Guha RoyGoogle ResearchEmail yang diverifikasi di google.com
Pushmeet KohliDeepMindEmail yang diverifikasi di google.com
Jamie HayesGoogle DeepMindEmail yang diverifikasi di google.com
Adam FischGoogle DeepMindEmail yang diverifikasi di google.com
Nenad TomasevGoogle DeepMindEmail yang diverifikasi di google.com
Csaba SzepesvariDeepMind & University of AlbertaEmail yang diverifikasi di cs.ualberta.ca
Andras GyorgyDeepMindEmail yang diverifikasi di google.com
Ilja KuzborskijGoogle DeepMindEmail yang diverifikasi di google.com
Yao-Yuan YangGoogle DeepMindEmail yang diverifikasi di deepmind.com
Wei-Hung WengGoogle ResearchEmail yang diverifikasi di mit.edu

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David Stutz

Research Scientist, DeepMind

Email yang diverifikasi di deepmind.com - Beranda

conformal prediction adversarial robustness adversarial examples deep learning computer vision


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Superpixels: An evaluation of the state-of-the-art D Stutz, A Hermans, B Leibe Computer Vision and Image Understanding 166, 1-27, 2018	612	2018
Disentangling adversarial robustness and generalization D Stutz, M Hein, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	335	2019
Understanding convolutional neural networks D Stutz Seminar Report, Visual Computing Institute, RWTH Aachen University, 2014	287*	2014
Learning 3d shape completion from laser scan data with weak supervision D Stutz, A Geiger Proceedings of the IEEE conference on computer vision and pattern …, 2018	271	2018
Confidence-calibrated adversarial training: Generalizing to unseen attacks D Stutz, M Hein, B Schiele International Conference on Machine Learning, 9155-9166, 2020	159	2020
Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024	132	2024
Learning 3D Shape Completion Under Weak Supervision D Stutz, A Geiger International Journal of Computer Vision, 2018	107	2018
Adversarial training against location-optimized adversarial patches S Rao, D Stutz, B Schiele European conference on computer vision, 429-448, 2020	94	2020
Learning optimal conformal classifiers D Stutz, AT Cemgil, A Doucet arXiv preprint arXiv:2110.09192, 2021	88	2021
Relating adversarially robust generalization to flat minima D Stutz, M Hein, B Schiele Proceedings of the IEEE/CVF international conference on computer vision …, 2021	67	2021
Superpixel segmentation: An evaluation D Stutz Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015	48	2015
Bit error robustness for energy-efficient dnn accelerators D Stutz, N Chandramoorthy, M Hein, B Schiele Proceedings of Machine Learning and Systems 3, 569-598, 2021	38	2021
Superpixel segmentation using depth information D Stutz RWTH Aachen University, Aachen, Germany, 2014	25	2014
Robustifying token attention for vision transformers Y Guo, D Stutz, B Schiele Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	24	2023
Improving robustness of vision transformers by reducing sensitivity to patch corruptions Y Guo, D Stutz, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	18	2023
Random and adversarial bit error robustness: Energy-efficient and secure DNN accelerators D Stutz, N Chandramoorthy, M Hein, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3632-3647, 2022	18	2022
Improving robustness by enhancing weak subnets Y Guo, D Stutz, B Schiele European Conference on Computer Vision, 320-338, 2022	17	2022
Imagen 3 J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, K Chan, Y Chen, ... arXiv preprint arXiv:2408.07009, 2024	16	2024
Learning Shape Completion from Bounding Boxes with CAD Shape Priors D Stutz RWTH Aachen University, 2017	15	2017
Conformal prediction under ambiguous ground truth D Stutz, AG Roy, T Matejovicova, P Strachan, AT Cemgil, A Doucet arXiv preprint arXiv:2307.09302, 2023	13	2023

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