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ORCIDDenis A. Gudovskiy
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2020 – today
- 2023
[c8]Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata:
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow. UAI 2023: 745-755- [i10]Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata:
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow. CoRR abs/2305.09610 (2023) - 2022
- [c7]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [c6]Denis A. Gudovskiy, Shun Ishizaka, Kazuki Kozuka:
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows. WACV 2022: 1819-1828 - [i9]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - 2021
- [c5]Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio:
Contrastive Neural Processes for Self-Supervised Learning. ACML 2021: 594-609 - [c4]Denis A. Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa:
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation. CVPR 2021: 16601-16610 - [i8]Denis A. Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa:
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation. CoRR abs/2103.05863 (2021) - [i7]Denis A. Gudovskiy, Shun Ishizaka, Kazuki Kozuka:
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows. CoRR abs/2107.12571 (2021) - [i6]Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio:
Contrastive Neural Processes for Self-Supervised Learning. CoRR abs/2110.13623 (2021) - 2020
- [c3]Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. CVPR 2020: 9038-9046 - [i5]Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. CoRR abs/2003.00393 (2020)
2010 – 2019
- 2019
- [i4]Denis A. Gudovskiy, Gyuri Han, Takuya Yamaguchi, Sotaro Tsukizawa:
Smart Home Appliances: Chat with Your Fridge. CoRR abs/1912.09589 (2019) - 2018
- [c2]Denis A. Gudovskiy
, Alec Hodgkinson, Luca Rigazio:
DNN Feature Map Compression Using Learned Representation over GF(2). ECCV Workshops (4) 2018: 502-516 - [i3]Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio:
DNN Feature Map Compression using Learned Representation over GF(2). CoRR abs/1808.05285 (2018) - [i2]Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Yasunori Ishii, Sotaro Tsukizawa:
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions. CoRR abs/1811.08011 (2018) - 2017
- [j2]Denis A. Gudovskiy, Lichung Chu:
An Accurate and Stable Sliding DFT Computed by a Modified CIC Filter [Tips & Tricks]. IEEE Signal Process. Mag. 34(1): 89-93 (2017) - [i1]Denis A. Gudovskiy, Luca Rigazio:
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks. CoRR abs/1706.02393 (2017) - 2015
- [j1]Denis A. Gudovskiy, Lichung Chu, Shinhaeng Lee:
A Novel Nondata-Aided Synchronization Algorithm for MSK-Type-Modulated Signals. IEEE Commun. Lett. 19(9): 1552-1555 (2015) - 2013
- [c1]Dennis R. Morgan, Michael G. Zierdt, Denis A. Gudovskiy, John Pastalan, Zhengxiang Ma:
FPGA implementation of a same-frequency cellular repeater using adaptive feedback cancellation. ICASSP 2013: 4728-4730
Coauthor Index
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last updated on 2023-09-28 03:12 CEST by the dblp team
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