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Vincent Tao Hu

  1. TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
    2025/01/08 by Felix Krause, Timy Phan, Krause, Felix +9 · 8 voices · 5 citations
    #cs.CV #cs.AI
  2. FMBoost: Boosting Latent Diffusion with Flow Matching
    2023/12/12 by Johannes Schusterbauer, Ming Gui, Pingchuan Ma +5 · 2 voices · 8 citations
    Computer Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #cs.CV
  3. ZigMa: A DiT-style Zigzag Mamba Diffusion Model
    2024/03/20 by Vincent Tao Hu, Hu, Vincent Tao, Stefan Andreas Baumann +10 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cellular Automata and Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. PointMixup: Augmentation for Point Clouds
    2020/08/14 by Yunlu Chen, Vincent Tao Hu, Chen, Yunlu +11 · 6 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
    2024/03/25 by Stefan Andreas Baumann, Felix Krause, Baumann, Stefan Andreas +10 · 9 citations
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services
  6. Self-Guided Diffusion Models
    2022/10/12 by Vincent Tao Hu, Hu, Vincent Tao, David W. Zhang +7 · 6 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
  7. Motion Flow Matching for Human Motion Synthesis and Editing
    2023/12/14 by Vincent Tao Hu, Hu, Vincent Tao, Wenzhe Yin +17 · 6 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Motion and Animation #Human Pose and Action Recognition
  8. Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
    2025/07/07 by Yun Qu, Qi Wang, Qu, Yun +9 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Semantic Web and Ontologies
  9. Diffusion Models and Representation Learning: A Survey
    2024/06/30 by Michael Fuest, Fuest, Michael, Pingchuan Ma +8 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare #Natural Language Processing Techniques #Speech Recognition and Synthesis
  10. [MASK] is All You Need
    2024/12/09 by Vincent Tao Hu, Hu, Vincent Tao, Björn Ommer +1 · 1 voice · 3 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Face recognition and analysis #Domain Adaptation and Few-Shot Learning
  11. Training Class-Imbalanced Diffusion Model Via Overlap Optimization
    2024/02/16 by Divin Yan, Qi Lu, Yan, Divin +7 · 2 citations
    Computer Science · #Imbalanced Data Classification Techniques
  12. MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation
    2025/02/16 by Michael Fuest, Vincent Tao Hu, Fuest, Michael +3 · 3 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Video Quality Assessment #Video Coding and Compression Technologies
  13. ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
    2023/11/28 by Jacob Schnell, Schnell, Jacob, Jieke Wang +7 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
  14. Does VLM Classification Benefit from LLM Description Semantics?
    2024/12/16 by Pingchuan Ma, Lennart Rietdorf, Ma, Pingchuan +7 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Advanced Computational Techniques and Applications