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Journal Articles
- 2024
[j8]Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-jo Chun, Takayuki Okatani:
Improving visual question answering for bridge inspection by pre-training with external data of image-text pairs. Comput. Aided Civ. Infrastructure Eng. 39(3): 345-361 (2024)- [j7]Qian Ye, Masanori Suganuma, Takayuki Okatani:
Improved high dynamic range imaging using multi-scale feature flows balanced between task-orientedness and accuracy. Comput. Vis. Image Underst. 248: 104126 (2024) - [j6]Shuang Liu
, Masanori Suganuma, Takayuki Okatani:
Symmetry-aware Neural Architecture for Embodied Visual Navigation. Int. J. Comput. Vis. 132(4): 1091-1107 (2024) - [j5]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
That's BAD: blind anomaly detection by implicit local feature clustering. Mach. Vis. Appl. 35(2): 31 (2024) - [j4]Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking unsupervised domain adaptation for semantic segmentation. Pattern Recognit. Lett. 186: 119-125 (2024) - 2023
- [j3]Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani:
Unsupervised domain adaptation for semantic segmentation via cross-region alignment. Comput. Vis. Image Underst. 234: 103743 (2023) - 2020
- [j2]Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao:
Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming. Evol. Comput. 28(1): 141-163 (2020) - 2018
- [j1]Masayuki Kobayashi, Masanori Suganuma, Tomoharu Nagao:
A generative model approach for visualising convolutional neural networks. Int. J. Comput. Intell. Stud. 7(3/4): 214-230 (2018)
Conference and Workshop Papers
- 2024
- [c22]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
Contextual Affinity Distillation for Image Anomaly Detection. WACV 2024: 148-157 - [c21]Xiangyong Lu, Masanori Suganuma, Takayuki Okatani:
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers. WACV 2024: 1112-1122 - 2023
- [c20]Qian Ye, Masanori Suganuma, Takayuki Okatani:
Accurate Single-Image Defocus Deblurring Based on Improved Integration with Defocus Map Estimation. ICIP 2023: 750-754 - [c19]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
Network Pruning and Fine-tuning for Few-shot Industrial Image Anomaly Detection. INDIN 2023: 1-6 - 2022
- [c18]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features. ECCV (36) 2022: 167-184 - [c17]Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani:
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning. NeurIPS 2022 - 2021
- [c16]Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani:
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes. ICCV 2021: 6009-6018 - [c15]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. IJCAI 2021: 923-930 - 2020
- [c14]Engkarat Techapanurak, Masanori Suganuma, Takayuki Okatani:
Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity. ACCV (4) 2020: 53-69 - [c13]Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Xing Liu, Yukimasa Tamatsu, Takayuki Okatani:
Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting. CVPR Workshops 2020: 857-866 - [c12]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Efficient Attention Mechanism for Visual Dialog that Can Handle All the Interactions Between Multiple Inputs. ECCV (24) 2020: 223-240 - [c11]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors. WACV 2020: 1399-1407 - 2019
- [c10]Takayuki Okatani, Xing Liu, Masanori Suganuma:
Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks. CCIW 2019: 3-13 - [c9]Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CVPR 2019: 7007-7016 - [c8]Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. CVPR 2019: 9039-9048 - 2018
- [c7]Masanori Suganuma, Mete Ozay, Takayuki Okatani:
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. ICML 2018: 4778-4787 - [c6]Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao:
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. IJCAI 2018: 5369-5373 - 2017
- [c5]Masayuki Kobayashi, Masanori Suganuma, Tomoharu Nagao:
Generative adversarial network for visualizing convolutional network. IWCIA 2017: 153-158 - [c4]Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao:
A genetic programming approach to designing convolutional neural network architectures. GECCO 2017: 497-504 - [c3]Chiaki Hirayama, Toshiya Watanabe, Shinji Kawabata, Masanori Suganuma, Tomoharu Nagao:
Acquiring grasp strategies for a multifingered robot hand using evolutionary algorithms. SMC 2017: 1597-1602 - 2016
- [c2]Masanori Suganuma, Daiki Tsuchiya, Shinichi Shirakawa, Tomoharu Nagao:
Hierarchical feature construction for image classification using Genetic Programming. SMC 2016: 1423-1428 - 2013
- [c1]Masanori Suganuma, Tomoharu Nagao:
Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery. IWCIA 2013: 131-136
Parts in Books or Collections
- 2020
- [p1]Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao:
Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming. Deep Neural Evolution 2020: 185-208
Informal and Other Publications
- 2024
- [i25]Yan Zeng, Masanori Suganuma, Takayuki Okatani:
An Improved Method for Personalizing Diffusion Models. CoRR abs/2407.05312 (2024) - [i24]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability. CoRR abs/2410.15315 (2024) - 2023
- [i23]Han Zou, Masanori Suganuma, Takayuki Okatani:
Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image. CoRR abs/2307.02875 (2023) - [i22]Han Zou, Masanori Suganuma, Takayuki Okatani:
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution. CoRR abs/2307.02897 (2023) - [i21]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
Contextual Affinity Distillation for Image Anomaly Detection. CoRR abs/2307.03101 (2023) - [i20]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering. CoRR abs/2307.03243 (2023) - [i19]Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma, Masahiro Takahashi, Ryoma Niihara, Takayuki Okatani:
Visual Abductive Reasoning Meets Driving Hazard Prediction: Problem Formulation and Dataset. CoRR abs/2310.04671 (2023) - [i18]Xiangyong Lu, Masanori Suganuma, Takayuki Okatani:
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers. CoRR abs/2311.03747 (2023) - 2022
- [i17]Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2207.00067 (2022) - [i16]Qian Ye, Masanori Suganuma, Jun Xiao, Takayuki Okatani:
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging. CoRR abs/2207.02539 (2022) - [i15]Qian Ye, Masanori Suganuma, Takayuki Okatani:
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation. CoRR abs/2207.03047 (2022) - [i14]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features. CoRR abs/2207.09666 (2022) - [i13]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
More Practical Scenario of Open-set Object Detection: Open at Category Level and Closed at Super-category Level. CoRR abs/2207.09775 (2022) - 2021
- [i12]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. CoRR abs/2106.00596 (2021) - [i11]Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani:
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes. CoRR abs/2109.03585 (2021) - [i10]Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani:
Cross-Region Domain Adaptation for Class-level Alignment. CoRR abs/2109.06422 (2021) - [i9]Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features. CoRR abs/2109.06432 (2021) - 2020
- [i8]Rito Murase, Masanori Suganuma, Takayuki Okatani:
How Can CNNs Use Image Position for Segmentation? CoRR abs/2005.03463 (2020) - 2019
- [i7]Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CoRR abs/1903.08817 (2019) - [i6]Xing Liu, Masanori Suganuma, Takayuki Okatani:
Joint Learning of Multiple Image Restoration Tasks. CoRR abs/1907.04508 (2019) - [i5]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors. CoRR abs/1910.09212 (2019) - [i4]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog. CoRR abs/1911.11390 (2019) - 2018
- [i3]Masanori Suganuma, Mete Özay, Takayuki Okatani:
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. CoRR abs/1803.00370 (2018) - [i2]Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. CoRR abs/1812.00733 (2018) - 2017
- [i1]Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao:
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. CoRR abs/1704.00764 (2017)
Coauthor Index
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