Tsubasa Takahashi
9 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(26)
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Hot Topic Early Bird
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Unstoppable · Bronze
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Research topics
Deep Learning
(8)
Machine Learning
(6)
Models
(6)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Core Methods
(2)
Computer Science
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Applications
(1)
Domain-Specific
(1)
Generation
(1)
Keywords
visual question answering
(2)
autonomous driving
(2)
generative adversarial network
(2)
normalizing flow
(2)
out-of-distribution detection
(2)
deep generative model
(2)
adversarial example
(2)
model merging
(1)
adversarial attack
(1)
gaussian splatting
(1)
characteristic function
(1)
generative model
(1)
diffusion model
(1)
copyright protection
(1)
reconstruction error
(1)
vision-language model
(1)
likelihood estimation
(1)
latent space
(1)
intellectual property
(1)
data augmentation
(1)
Papers
P2GS: Physical Prior-guided Gaussian Splatting for Photometrically Consistent Urban Reconstruction
CVPR 2026
STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes
AAAI 2026
Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models
CVPR 2026
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
ACL 2025
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
AAAI 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
CVPR 2024
Frequency-aware GAN for Adversarial Manipulation Generation
ICCV 2023
Out-of-Distribution Detection With Reconstruction Error and Typicality-Based Penalty
WACV 2023
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
ICLR 2022