| Cflow-ad: Real-time unsupervised anomaly detection with localization via conditional normalizing flows D Gudovskiy, S Ishizaka, K Kozuka Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 304 | 2022 |
| Deep active learning for biased datasets via fisher kernel self-supervision D Gudovskiy, A Hodgkinson, T Yamaguchi, S Tsukizawa Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 64 | 2020 |
| Shiftcnn: Generalized low-precision architecture for inference of convolutional neural networks DA Gudovskiy, L Rigazio arXiv preprint arXiv:1706.02393, 2017 | 62 | 2017 |
| MTTrans: Cross-domain object detection with mean teacher transformer J Yu, J Liu, X Wei, H Zhou, Y Nakata, D Gudovskiy, T Okuno, J Li, ... European Conference on Computer Vision, 629-645, 2022 | 32 | 2022 |
| Frequency and phase offset compensation of modulated signals with symbol timing recovery DA Gudovskiy, L Chu US Patent 9,270,390, 2016 | 29 | 2016 |
| DNN feature map compression using learned representation over GF (2) D Gudovskiy, A Hodgkinson, L Rigazio Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 22 | 2018 |
| Autodo: Robust autoaugment for biased data with label noise via scalable probabilistic implicit differentiation D Gudovskiy, L Rigazio, S Ishizaka, K Kozuka, S Tsukizawa Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 20 | 2021 |
| An accurate and stable sliding DFT computed by a modified CIC filter [tips & tricks] DA Gudovskiy, L Chu IEEE Signal Processing Magazine 34 (1), 89-93, 2017 | 16 | 2017 |
| A novel nondata-aided synchronization algorithm for MSK-type-modulated signals DA Gudovskiy, L Chu, S Lee IEEE Communications Letters 19 (9), 1552-1555, 2015 | 15 | 2015 |
| Explain to fix: A framework to interpret and correct DNN object detector predictions D Gudovskiy, A Hodgkinson, T Yamaguchi, Y Ishii, S Tsukizawa arXiv preprint arXiv:1811.08011, 2018 | 13 | 2018 |
| Contrastive neural processes for self-supervised learning K Kallidromitis, D Gudovskiy, K Kazuki, O Iku, L Rigazio Asian Conference on Machine Learning, 594-609, 2021 | 12 | 2021 |
| Sampling rate synchronization between transmitters and receivers DA Gudovskiy, L Chu, S Lee US Patent 10,516,521, 2019 | 8 | 2019 |
| FPGA implementation of a same-frequency cellular repeater using adaptive feedback cancellation DR Morgan, MG Zierdt, DA Gudovskiy, JZ Pastalan, Z Ma 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 6 | 2013 |
| Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation R Zhang, Y Luo, J Liu, H Yang, Z Dong, D Gudovskiy, T Okuno, Y Nakata, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16812 …, 2024 | 4 | 2024 |
| Smart home appliances: Chat with your fridge D Gudovskiy, G Han, T Yamaguchi, S Tsukizawa arXiv preprint arXiv:1912.09589, 2019 | 4 | 2019 |
| Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow D Gudovskiy, T Okuno, Y Nakata Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023 | 3 | 2023 |
| Information processing method and information processing system D Gudovskiy, T Yamaguchi, Y Ishii, S Tsukizawa US Patent 11,449,706, 2022 | 2 | 2022 |
| Method and apparatus for accurate and efficient spectrum estimation using improved sliding DFT DA Gudovskiy, L Chu, S Lee US Patent 10,566,955, 2020 | 2 | 2020 |
| VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness R Zhang, Z Cai, H Yang, Z Liu, D Gudovskiy, T Okuno, Y Nakata, ... arXiv preprint arXiv:2401.07853, 2024 | 1 | 2024 |
| Explanation-based attention for semi-supervised deep active learning D Gudovskiy, A Hodgkinson, T Yamaguchi, S Tsukizawa | 1 | 2019 |
Kazuki KozukaStanford University, PanasonicVerified email at jp.panasonic.com
