Daiki Ikami

According to our database, Daiki Ikami authored at least 17 papers between 2017 and 2023.

Collaborative distances:

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

2023

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation.

Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Self-Labeling Framework for Novel Category Discovery over Domains.

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels.

Daiki Tanaka, Daiki Ikami, Kiyoharu Aizawa

CoRR, 2021

Constrained Weight Optimization for Learning without Activation Normalization.

Daiki Ikami, Go Irie, Takashi Shibata

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning with Selective Forgetting.

Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi

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

Generalized Domain Adaptation.

Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Significance of Softmax-Based Features in Comparison to Distance Metric Learning-Based Features.

Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa

IEEE Trans. Pattern Anal. Mach. Intell., 2020

The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals.

Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-task Curriculum Framework for Open-Set Semi-supervised Learning.

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the Computer Vision - ECCV 2020, 2020

Cascaded Transposed Long-Range Convolutions for Monocular Depth Estimation.

Go Irie, Daiki Ikami, Takahito Kawanishi, Kunio Kashino

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

2019

Synthesis of Screentone Patterns of Manga Characters.

Koki Tsubota, Daiki Ikami, Kiyoharu Aizawa

Proceedings of the IEEE International Symposium on Multimedia, 2019

Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty.

Akari Asai, Daiki Ikami, Kiyoharu Aizawa

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

2018

Parallel Grid Pooling for Data Augmentation.

Akito Takeki, Daiki Ikami, Go Irie, Kiyoharu Aizawa

CoRR, 2018

Joint Optimization Framework for Learning With Noisy Labels.

Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems.

Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Local and Global Optimization Techniques in Graph-Based Clustering.

Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems.

Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017