Shusuke Takahashi
8 papers · 2021–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(5)
Models
(5)
Computer Vision
(3)
Artificial Intelligence
(2)
Speech & Audio
(2)
Application Areas
(2)
Core AI
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
diffusion model
(3)
multi-channel audio
(2)
generative model
(2)
multimodal learning
(1)
speech enhancement
(1)
speaker embedding
(1)
deep clustering
(1)
audio-visual correspondence
(1)
discrete representation
(1)
length generalization
(1)
variational autoencoder
(1)
perceptual quality
(1)
text-to-video generation
(1)
latent optimization
(1)
inference-time alignment
(1)
vector quantization
(1)
multimodal alignment
(1)
video processing
(1)
text-to-image generation
(1)
variational inference
(1)
Papers
Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models
CVPR 2026
Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
ICLR 2025
‘Studies for’ : A Human-AI Co-Creative Sound Artwork Using a Real-time Multi-channel Sound Generation Model
NeurIPS 2025
TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models
ICCV 2025
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement
Interspeech 2023
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
NeurIPS 2023
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
ICML 2022
Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex
Interspeech 2021