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05/14/2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
It is imperative to discern the relationships between multiple time seri...
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04/07/2023
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Pathological image analysis is an important process for detecting abnorm...
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03/08/2023
Self-Supervised Learning for Group Equivariant Neural Networks
This paper proposes a method to construct pretext tasks for self-supervi...
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10/02/2022
Grouped self-attention mechanism for a memory-efficient Transformer
Time-series data analysis is important because numerous real-world tasks...
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05/23/2022
Computational Storytelling and Emotions: A Survey
Storytelling has always been vital for human nature. From ancient times,...
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03/24/2022
Risk Consistent Multi-Class Learning from Label Proportions
This study addresses a multiclass learning from label proportions (MCLLP...
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02/26/2022
COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents
When humans write, they may unintentionally omit some information. Compl...
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02/15/2022
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
Image narrative generation describes the creation of stories regarding t...
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10/08/2021
Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects
Articulated objects exist widely in the real world. However, previous 3D...
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09/26/2021
Fully Spiking Variational Autoencoder
Spiking neural networks (SNNs) can be run on neuromorphic devices with u...
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06/25/2021
Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair
In this paper we undertake the task of text-based video moment retrieval...
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06/07/2021
Efficient training for future video generation based on hierarchical disentangled representation of latent variables
Generating videos predicting the future of a given sequence has been an ...
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10/21/2020
Neural Star Domain as Primitive Representation
Reconstructing 3D objects from 2D images is a fundamental task in comput...
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10/10/2019
Multi-Stage Pathological Image Classification using Semantic Segmentation
Histopathological image analysis is an essential process for the discove...
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09/27/2019
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds
Instance segmentation on 3D point clouds is one of the most extensively ...
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06/05/2019
GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism
Graphs are ubiquitous real-world data structures, and generative models ...
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06/05/2019
Invariant Tensor Feature Coding
We propose a novel feature coding method that exploits invariance. We co...
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06/05/2019
Compact Approximation for Polynomial of Covariance Feature
Covariance pooling is a feature pooling method with good classification ...
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04/16/2019
Long-Term Video Generation of Multiple FuturesUsing Human Poses
Predicting the near-future from an input video is a useful task for appl...
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04/16/2019
Long-Term Video Generation of Multiple Futures Using Human Poses
Predicting the near-future from an input video is a useful task for appl...
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03/25/2019
End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations
So far, research to generate captions from images has been carried out f...
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02/13/2018
Weakly supervised collective feature learning from curated media
The current state-of-the-art in feature learning relies on the supervise...
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12/23/2016