Vincent Tao Hu
15 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 💎 Century Club · Bronze
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Unstoppable · Bronze
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Prolific Year · Productive
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Research topics
Keywords
diffusion model
(6)
image generation
(4)
generative model
(2)
self-supervised learning
(2)
flow matching
(2)
depth estimation
(1)
action recognition
(1)
contrastive learning
(1)
optimal transport
(1)
style transfer
(1)
efficient training
(1)
knowledge distillation
(1)
embedding space
(1)
model architecture
(1)
conditional generation
(1)
image synthesis
(1)
image editing
(1)
text-to-image generation
(1)
generative art
(1)
feature extraction
(1)
Papers
Guiding Token-Sparse Diffusion Models
CVPR 2026
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
CVPR 2025
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
AAAI 2025
Distillation of Diffusion Features for Semantic Correspondence
WACV 2025
Does VLM Classification Benefit from LLM Description Semantics?
AAAI 2025
Stochastic Interpolants for Revealing Stylistic Flows across the History of Art
ICCV 2025
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge
ICLR 2025
TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
ICCV 2025
FMBoost: Boosting Latent Diffusion with Flow Matching
ECCV 2024
Latent Space Editing in Transformer-Based Flow Matching
AAAI 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
ECCV 2024
Self-Guided Diffusion Models
CVPR 2023
Self-Supervised Video Representation Learning With Cross-Stream Prototypical Contrasting
WACV 2022
Localizing the Common Action Among a Few Videos
ECCV 2020
PointMixup: Augmentation for Point Clouds
ECCV 2020