Yusuke Mukuta

According to our database1, Yusuke Mukuta authored at least 47 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

COMPASS: A creative support system that alerts novelists to the unnoticed missing contents.
Comput. Speech Lang., May, 2023

Fully Spiking Denoising Diffusion Implicit Models.
CoRR, 2023

HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting.
CoRR, 2023

Self-Supervised Learning for Group Equivariant Neural Networks.
CoRR, 2023

Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Zero-shot Object Classification with Large-scale Knowledge Graph.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Grouped self-attention mechanism for a memory-efficient Transformer.
CoRR, 2022

Computational Storytelling and Emotions: A Survey.
CoRR, 2022

Risk Consistent Multi-Class Learning from Label Proportions.
CoRR, 2022

ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Pop Music Generation with Controllable Phrase Lengths.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Unsupervised Pose-aware Part Decomposition for Man-Made Articulated Objects.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fully Spiking Variational Autoencoder.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects.
CoRR, 2021

Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair.
CoRR, 2021

Efficient training for future video generation based on hierarchical disentangled representation of latent variables.
CoRR, 2021

Generation of Variable-Length Time Series from Text using Dynamic Time Warping-Based Method.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Making Video Recognition Models Robust to Common Corruptions With Supervised Contrastive Learning.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Hyperbolic Neural Networks++.
Proceedings of the 9th International Conference on Learning Representations, 2021

The Nectar of Missing Position Prediction for Story Completion.
Proceedings of Text2Story, 2021

Spherical Image Generation from a Single Image by Considering Scene Symmetry.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Neural Star Domain as Primitive Representation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Long-Term Human Video Generation of Multiple Futures Using Poses.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism.
CoRR, 2019

Invariant Tensor Feature Coding.
CoRR, 2019

Compact Approximation for Polynomial of Covariance Feature.
CoRR, 2019

Long-Term Video Generation of Multiple Futures Using Human Poses.
CoRR, 2019

End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations.
CoRR, 2019

Texture-Based Classification of Significant Stenosis in CCTA Multi-view Images of Coronary Arteries.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Toward a Better Story End: Collecting Human Evaluation with Reasons.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi-Stage Pathological Image Classification Using Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Estimating the Causal Effect from Partially Observed Time Series.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Alternating Circulant Random Features for Semigroup Kernels.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Weakly Supervised Collective Feature Learning From Curated Media.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Spatial-Temporal Weighted Pyramid Using Spatial Orthogonal Pooling.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Deep Modality Invariant Adversarial Network for Shared Representation Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
DeMIAN: Deep Modality Invariant Adversarial Network.
CoRR, 2016

Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Common Subspace for Model and Similarity: Phrase Learning for Caption Generation from Images.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Probabilistic Partial Canonical Correlation Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014

Mirror reflection invariant HOG descriptors for object detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

MIL at ImageCLEF 2014: Scalable System for Image Annotation.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014


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