MIL at ImageCLEF 2014: Scalable System for Image Annotation. - Atsushi Kanehira; Masathosi Hidaka; Yusuke Mukuta; Yuichiro Tsuchiya; Tetsuaki Mano; Tatsuya Harada (CLEF (Working Notes), 2014)

Mirror reflection invariant HOG descriptors for object detection. - Asako Kanezaki; Yusuke Mukuta; Tatsuya Harada (ICIP, 2014)

Probabilistic Partial Canonical Correlation Analysis. - Yusuke Mukuta; Tatsuya Harada (ICML, 2014)

Common Subspace for Model and Similarity: Phrase Learning for Caption Generation from Images. - Yoshitaka Ushiku; Masataka Yamaguchi; Yusuke Mukuta; Tatsuya Harada (ICCV, 2015)

Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning. - Yusuke Mukuta; Tatsuya Harada (CVPR, 2016)

DeMIAN: Deep Modality Invariant Adversarial Network. - Kuniaki Saito; Yusuke Mukuta; Yoshitaka Ushiku; Tatsuya Harada (CoRR, 2016)

Deep Modality Invariant Adversarial Network for Shared Representation Learning. - Tatsuya Harada; Kuniaki Saito; Yusuke Mukuta; Yoshitaka Ushiku (ICCV Workshops, 2017)

Spatial-Temporal Weighted Pyramid Using Spatial Orthogonal Pooling. - Yusuke Mukuta; Yoshitaka Ushiku; Tatsuya Harada (ICCV Workshops, 2017)

Weakly Supervised Collective Feature Learning From Curated Media. - Yusuke Mukuta; Akisato Kimura; David B. Adrian; Zoubin Ghahramani (AAAI, 2018)

Alternating Circulant Random Features for Semigroup Kernels. - Yusuke Mukuta; Yoshitaka Ushiku; Tatsuya Harada (AAAI, 2018)

Estimating the Causal Effect from Partially Observed Time Series. - Akane Iseki; Yusuke Mukuta; Yoshitaka Ushiku; Tatsuya Harada (AAAI, 2019)

Multi-Stage Pathological Image Classification Using Semantic Segmentation. - Shusuke Takahama; Yusuke Kurose; Yusuke Mukuta; Hiroyuki Abe; Masashi Fukayama; Akihiko Yoshizawa; Masanobu Kitagawa; Tatsuya Harada (ICCV, 2019)

Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds. - Kosuke Arase; Yusuke Mukuta; Tatsuya Harada (ICCV Workshops, 2019)

Toward a Better Story End: Collecting Human Evaluation with Reasons. - Yusuke Mori 001; Hiroaki Yamane; Yusuke Mukuta; Tatsuya Harada (INLG, 2019)

Texture-Based Classification of Significant Stenosis in CCTA Multi-view Images of Coronary Arteries. - Antonio Tejero-de-Pablos; Kaikai Huang; Hiroaki Yamane; Yusuke Kurose; Yusuke Mukuta; Junichi Iho; Youji Tokunaga; Makoto Horie; Keisuke Nishizawa; Yusaku Hayashi; Yasushi Koyama; Tatsuya Harada (MICCAI (2), 2019)

End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations. - Keisuke Hagiwara; Yusuke Mukuta; Tatsuya Harada (CoRR, 2019)

Long-Term Video Generation of Multiple Futures Using Human Poses. - Naoya Fushishita; Antonio Tejero-de-Pablos; Yusuke Mukuta; Tatsuya Harada (CoRR, 2019)

Compact Approximation for Polynomial of Covariance Feature. - Yusuke Mukuta; Tatsuaki Machida; Tatsuya Harada (CoRR, 2019)

Invariant Tensor Feature Coding. - Yusuke Mukuta; Tatsuya Harada (CoRR, 2019)

GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism. - Wataru Kawai; Yusuke Mukuta; Tatsuya Harada (CoRR, 2019)

Long-Term Human Video Generation of Multiple Futures Using Poses. - Naoya Fushishita; Antonio Tejero-de-Pablos; Yusuke Mukuta; Tatsuya Harada (ECCV Workshops (3), 2020)

Neural Star Domain as Primitive Representation. - Yuki Kawana; Yusuke Mukuta; Tatsuya Harada (NeurIPS, 2020)

Spherical Image Generation from a Single Image by Considering Scene Symmetry. - Takayuki Hara; Yusuke Mukuta; Tatsuya Harada (AAAI, 2021)

The Nectar of Missing Position Prediction for Story Completion. - Yusuke Mori 001; Hiroaki Yamane; Yusuke Mukuta; Tatsuya Harada (Text2Story@ECIR, 2021)

Hyperbolic Neural Networks++. - Ryohei Shimizu; Yusuke Mukuta; Tatsuya Harada (ICLR, 2021)

Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary. - Wataru Kawai; Yusuke Mukuta; Tatsuya Harada (ICRA, 2021)

Making Video Recognition Models Robust to Common Corruptions With Supervised Contrastive Learning. - Tomu Hirata; Yusuke Mukuta; Tatsuya Harada (MMAsia, 2021)

Generation of Variable-Length Time Series from Text using Dynamic Time Warping-Based Method. - Ayaka Ideno; Yusuke Mukuta; Tatsuya Harada (MMAsia, 2021)

Efficient training for future video generation based on hierarchical disentangled representation of latent variables. - Naoya Fushishita; Antonio Tejero-de-Pablos; Yusuke Mukuta; Tatsuya Harada (CoRR, 2021)

Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair. - Sho Maeoki; Yusuke Mukuta; Tatsuya Harada (CoRR, 2021)

Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects. - Yuki Kawana; Yusuke Mukuta; Tatsuya Harada (CoRR, 2021)

Fully Spiking Variational Autoencoder. - Hiromichi Kamata; Yusuke Mukuta; Tatsuya Harada (AAAI, 2022)

Unsupervised Pose-aware Part Decomposition for Man-Made Articulated Objects. - Yuki Kawana; Yusuke Mukuta; Tatsuya Harada (ECCV (3), 2022)

Pop Music Generation with Controllable Phrase Lengths. - Daiki Naruse; Tomoyuki Takahata; Yusuke Mukuta; Tatsuya Harada (ISMIR, 2022)

ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer. - Kohei Uehara; Yusuke Mori 001; Yusuke Mukuta; Tatsuya Harada (WWW (Companion Volume), 2022)

Risk Consistent Multi-Class Learning from Label Proportions. - Ryoma Kobayashi; Yusuke Mukuta; Tatsuya Harada (CoRR, 2022)

Computational Storytelling and Emotions: A Survey. - Yusuke Mori 001; Hiroaki Yamane; Yusuke Mukuta; Tatsuya Harada (CoRR, 2022)

Grouped self-attention mechanism for a memory-efficient Transformer. - Bumjun Jung; Yusuke Mukuta; Tatsuya Harada (CoRR, 2022)

Zero-shot Object Classification with Large-scale Knowledge Graph. - Kohei Shiba; Yusuke Mukuta; Tatsuya Harada (CVPR Workshops, 2023)

Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images. - Shusuke Takahama; Yusuke Kurose; Yusuke Mukuta; Hiroyuki Abe; Akihiko Yoshizawa; Tetsuo Ushiku; Masashi Fukayama; Masanobu Kitagawa; Masaru Kitsuregawa; Tatsuya Harada (ISBI, 2023)

Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment. - Thomas Westfechtel; Hao-Wei Yeh; Qier Meng; Yusuke Mukuta; Tatsuya Harada (WACV, 2023)

Self-Supervised Learning for Group Equivariant Neural Networks. - Yusuke Mukuta; Tatsuya Harada (CoRR, 2023)

HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting. - Ryo Umagami; Yu Ono; Yusuke Mukuta; Tatsuya Harada (CoRR, 2023)

Fully Spiking Denoising Diffusion Implicit Models. - Ryo Watanabe; Yusuke Mukuta; Tatsuya Harada (CoRR, 2023)

Invariant Feature Coding using Tensor Product Representation. - Yusuke Mukuta; Tatsuya Harada (Trans. Mach. Learn. Res., 2023)

COMPASS: A creative support system that alerts novelists to the unnoticed missing contents. - Yusuke Mori 001; Hiroaki Yamane; Ryohei Shimizu; Yusuke Mukuta; Tatsuya Harada (Comput. Speech Lang., 2023)

Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry. - Takayuki Hara; Yusuke Mukuta; Tatsuya Harada (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. - Motoki Omura; Takayuki Osa; Yusuke Mukuta; Tatsuya Harada (AAAI, 2024)

Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought. - Kohtaro Tanaka; Kohei Uehara; Lin Gu 003; Yusuke Mukuta; Tatsuya Harada (NAACL-HLT (Findings), 2024)

Stabilizing Extreme Q-learning by Maclaurin Expansion. - Motoki Omura; Takayuki Osa; Yusuke Mukuta; Tatsuya Harada (RLJ, 2024)

Style-NeRF2NeRF: 3D Style Transfer from Style-Aligned Multi-View Images. - Haruo Fujiwara; Yusuke Mukuta; Tatsuya Harada (SIGGRAPH Asia, 2024)

HyperVQ: MLR-based Vector Quantization in Hyperbolic Space. - Nabarun Goswami; Yusuke Mukuta; Tatsuya Harada (Trans. Mach. Learn. Res., 2025)

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning. - Motoki Omura; Kazuki Ota; Takayuki Osa; Yusuke Mukuta; Tatsuya Harada (CoRR, 2025)

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps. - Motoki Omura; Yusuke Mukuta; Kazuki Ota; Takayuki Osa; Tatsuya Harada (CoRR, 2025)