Ryosuke Shibasaki
11 papers · 2013–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (21)
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Keyword Pioneer
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Topic Evolution
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(6)
Computer Vision
(5)
Analysis
(5)
Deep Learning
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Applications Β· Computer Science
(1)
Applications Β· Data Science & Analytics
(1)
Keywords
category modeling
(3)
trajectory prediction
(2)
unsupervised learning
(2)
rgb-d image
(2)
graph matching
(2)
collision avoidance
(2)
feature learning
(2)
mixture density function
(2)
graphical model
(2)
pattern recognition
(1)
deep learning
(1)
spatio-temporal modeling
(1)
sparse representation
(1)
shape reconstruction
(1)
metric learning
(1)
retrieval-augmented generation
(1)
depth estimation
(1)
subgraph pattern
(1)
dense prediction
(1)
autonomous driving
(1)
Papers
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
NeurIPS 2024
Event-Aware Multimodal Mobility Nowcasting
AAAI 2022
Social-DPF: Socially Acceptable Distribution Prediction of Futures
AAAI 2021
Learn to Recover Visible Color for Video Surveillance in a Day
ECCV 2020
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space
AAAI 2020
A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records
IJCAI 2016
DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level
IJCAI 2016
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns
CVPR 2014
When 3D Reconstruction Meets Ubiquitous RGB-D Images
CVPR 2014
Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models
CVPR 2013
Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes
ICCV 2013