学会発表・論文
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The 41st International Conference on Machine Learning(ICML 2024)
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Anthony Chen, Huanrui Yang, Yulu Gan, Denis Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang
arXiv: https://arxiv.org/abs/2312.09148 -
ICML '24 Workshop on Advancing Neural Network Training (WANT): Computational Efficiency, Scalability, and Resource Optimization
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives
Huanrui Yang, Yafeng Huang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang
arXiv: https://arxiv.org/abs/2407.03442 -
The Conference on Uncertainty in Artificial Intelligence（UAI2024）
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata
arXiv: https://arxiv.org/abs/2406.00578 -
The 38th Annual AAAI Conference on Artificial Intelligence（AAAI 2024）
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation
Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
arXiv: https://arxiv.org/abs/2312.16610 -
39th Conference on Uncertainty in Artificial Intelligence (UAI2023)
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata
arXiv: https://arxiv.org/abs/2305.09610 -
IEEE/CVF European Conference on Computer Vision (ECCV) 2022
MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformer
Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer and Shanghang Zhang
arXiv: https://arxiv.org/abs/2205.01643
プレスリリース: [Panasonic Newsroom Japan] AI・ロボティクス分野のトップカンファレンスECCV2022、およびIROS2022に論文採択 -
Winter Conference on Applications of Computer Vision (WACV2022)
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis Gudovskiy, Shun Ishizaka and Kazuki Kozuka
Link: https://arxiv.org/abs/2107.12571 -
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Denis Gudovskiy,Luca Rigazio, Shun Ishizaka,Kazuki Kozuka, Sotaro Tsukizawa
Link: https://arxiv.org/abs/2103.05863 -
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa
Link: https://arxiv.org/abs/2003.00393 -
NeurIPS 2019 demo track
Smart Home Appliances: Chat with Your Fridge
Denis Gudovskiy, Gyuri Han, Takuya Yamaguchi, Sotaro Tsukizawa
Link: https://arxiv.org/abs/1912.09589 -
ICLR The 2nd Learning from Limited Labeled Data (LLD) Workshop
Explanation-Based Attention for Semi-Supervised Deep Active Learning
Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa
Link: https://openreview.net/forum?id=SyxKiVmedV -
NeurIPS Workshop on Systems for ML and Open Source Software
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Yasunori Ishii, Sotaro Tsukizawa
Link: https://arxiv.org/abs/1811.08011 -
ECCV 2nd International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL 2018)
DNN Feature Map Compression using Learned Representation over GF(2)
Denis Gudovskiy, Alec Hodgkinson, Luca Rigazio
Link: http://openaccess.thecvf.com/content_ECCVW_2018/papers/11132/Gudovskiy_DNN_Feature_Map_Compression_using_Learned_Representation_over_GF2_ECCVW_2018_paper.pdf