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Tomoyuki Okuno
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2020 – today
- 2024
- [c6]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI 2024: 16812-16820 - [c5]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML 2024 - [c4]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. ACM Multimedia 2024: 5451-5459 - [i9]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR abs/2401.07853 (2024) - [i8]Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata:
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding. CoRR abs/2406.00578 (2024) - [i7]Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang:
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR abs/2407.03442 (2024) - [i6]Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference. CoRR abs/2410.04417 (2024) - [i5]Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata:
DFM: Interpolant-free Dual Flow Matching. CoRR abs/2410.09246 (2024) - 2023
- [c3]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 - [i4]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) - [i3]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR abs/2312.09148 (2023) - [i2]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR abs/2312.16610 (2023) - 2022
- [c2]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 - [i1]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
- [c1]Tomoyuki Okuno, Yohei Nakata, Yasunori Ishii, Sotaro Tsukizawa:
Lossless AI: Toward Guaranteeing Consistency between Inferences Before and After Quantization via Knowledge Distillation. MVA 2021: 1-5
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