Masanori Suganuma

According to our database, Masanori Suganuma authored at least 46 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Symmetry-aware Neural Architecture for Embodied Visual Navigation.

Shuang Liu, Masanori Suganuma, Takayuki Okatani

Int. J. Comput. Vis., April, 2024

That's BAD: blind anomaly detection by implicit local feature clustering.

Jie Zhang, Masanori Suganuma, Takayuki Okatani

Mach. Vis. Appl., March, 2024

Improving visual question answering for bridge inspection by pre-training with external data of image-text pairs.

Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-jo Chun, Takayuki Okatani

Comput. Aided Civ. Infrastructure Eng., February, 2024

Rethinking unsupervised domain adaptation for semantic segmentation.

Zhijie Wang, Masanori Suganuma, Takayuki Okatani

Pattern Recognit. Lett., 2024

Improved high dynamic range imaging using multi-scale feature flows balanced between task-orientedness and accuracy.

Qian Ye, Masanori Suganuma, Takayuki Okatani

Comput. Vis. Image Underst., 2024

RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting.

Lizhi Bai, Chunqi Tian, Jun Yang, Siyu Zhang, Masanori Suganuma, Takayuki Okatani

CoRR, 2024

Rethinking Annotation for Object Detection: Is Annotating Small-size Instances Worth Its Cost?

Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani

CoRR, 2024

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images.

Xiangyong Lu, Masanori Suganuma, Takayuki Okatani

CoRR, 2024

Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability.

Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani

CoRR, 2024

An Improved Method for Personalizing Diffusion Models.

Yan Zeng, Masanori Suganuma, Takayuki Okatani

CoRR, 2024

Contextual Affinity Distillation for Image Anomaly Detection.

Jie Zhang, Masanori Suganuma, Takayuki Okatani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers.

Xiangyong Lu, Masanori Suganuma, Takayuki Okatani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Unsupervised domain adaptation for semantic segmentation via cross-region alignment.

Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani

Comput. Vis. Image Underst., September, 2023

Visual Abductive Reasoning Meets Driving Hazard Prediction: Problem Formulation and Dataset.

Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma, Masahiro Takahashi, Ryoma Niihara, Takayuki Okatani

CoRR, 2023

RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution.

Han Zou, Masanori Suganuma, Takayuki Okatani

CoRR, 2023

Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image.

Han Zou, Masanori Suganuma, Takayuki Okatani

CoRR, 2023

Network Pruning and Fine-tuning for Few-shot Industrial Image Anomaly Detection.

Jie Zhang, Masanori Suganuma, Takayuki Okatani

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Accurate Single-Image Defocus Deblurring Based on Improved Integration with Defocus Map Estimation.

Qian Ye, Masanori Suganuma, Takayuki Okatani

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

More Practical Scenario of Open-set Object Detection: Open at Category Level and Closed at Super-category Level.

Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani

CoRR, 2022

Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation.

Qian Ye, Masanori Suganuma, Takayuki Okatani

CoRR, 2022

Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging.

Qian Ye, Masanori Suganuma, Jun Xiao, Takayuki Okatani

CoRR, 2022

Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning.

Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features.

Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features.

Zhijie Wang, Masanori Suganuma, Takayuki Okatani

CoRR, 2021

Cross-Region Domain Adaptation for Class-level Alignment.

Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani

CoRR, 2021

Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks.

Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes.

Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming.

Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming.

Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao

Evol. Comput., 2020

How Can CNNs Use Image Position for Segmentation?

Rito Murase, Masanori Suganuma, Takayuki Okatani

CoRR, 2020

Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors.

Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Efficient Attention Mechanism for Visual Dialog that Can Handle All the Interactions Between Multiple Inputs.

Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani

Proceedings of the Computer Vision - ECCV 2020, 2020

Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting.

Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Xing Liu, Yukimasa Tamatsu, Takayuki Okatani

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity.

Engkarat Techapanurak, Masanori Suganuma, Takayuki Okatani

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog.

Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani

CoRR, 2019

Joint Learning of Multiple Image Restoration Tasks.

Xing Liu, Masanori Suganuma, Takayuki Okatani

CoRR, 2019

Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions.

Masanori Suganuma, Xing Liu, Takayuki Okatani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration.

Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks.

Takayuki Okatani, Xing Liu, Masanori Suganuma

Proceedings of the Computational Color Imaging - 7th International Workshop, 2019

2018

A generative model approach for visualising convolutional neural networks.

Masayuki Kobayashi, Masanori Suganuma, Tomoharu Nagao

Int. J. Comput. Intell. Stud., 2018

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures.

Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search.

Masanori Suganuma, Mete Ozay, Takayuki Okatani

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Acquiring grasp strategies for a multifingered robot hand using evolutionary algorithms.

Chiaki Hirayama, Toshiya Watanabe, Shinji Kawabata, Masanori Suganuma, Tomoharu Nagao

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Generative adversarial network for visualizing convolutional network.

Masayuki Kobayashi, Masanori Suganuma, Tomoharu Nagao

Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017

2016

Hierarchical feature construction for image classification using Genetic Programming.

Masanori Suganuma, Daiki Tsuchiya, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2013

Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery.

Masanori Suganuma, Tomoharu Nagao

Proceedings of the IEEE 6th International Workshop on Computational Intelligence and Applications, 2013