Yumeng Li

Yumeng Li

PhD Student

Bosch Center for AI

About me

Hi!👋 I’m an Applied Scientist at Amazon. Previously, I completed my PhD at Bosch Center for Artificial Intelligence (BCAI), supervised by Dr. Anna Khoreva, Dr. Dan Zhang and Prof. Margret Keuper from University of Mannheim. I am passionate about making Generative Models (e.g., GANs, Diffusion Models) greater and creating visually appealing content! 🤗

Interests
  • Image & Video Synthesis
  • Generative Models
  • Vision-Language Models
  • Out-of-Distribution Generalization
Education

  • PhD in Computer Science, 2024

    University of Mannheim

  • MSc in Simulation Science, 2021

    RWTH Aachen University

  • BSc in Vehicle Engineering, 2019

    Beijing Institute of Technology

Publications

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Yumeng Li, William Beluch, Margret Keuper, Dan Zhang, Anna Khoreva
Published at ICLR 2025
 Text-to-Video    Temporal Attention    Video Diffusion Model 
PDF Cite Code Project
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Label-free Neural Semantic Image Synthesis
Jiayi Wang, Kevin A. Laube, Yumeng Li, Jan H. Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva
Published at ECCV 2024
 Stable Diffusion    Controllable Synthesis    AIGC 
PDF Cite Project
Label-free Neural Semantic Image Synthesis
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
Published at ICLR 2024
 Stable Diffusion    Layout-to-Image    AIGC 
PDF Cite Code Project
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Divide & Bind Your Attention for Improved Generative Semantic Nursing
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
Published at BMVC 2023 (Oral)
 Stable Diffusion    Text-to-Image    AIGC 
PDF Cite Code Project
Divide & Bind Your Attention for Improved Generative Semantic Nursing
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li
Published at BRAVO Workshop, ICCV 2023
 Anomaly Detection    Data Augmentation    Autonomous Driving 
PDF Cite
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
Published at IJCV
 GAN Inversion    Style Transfer    Domain Generalization     Performance Prediction 
PDF Cite Code
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
Published at WACV 2023
 GAN Inversion    Style Transfer    Domain Generalization 
PDF Cite Code
Intra-Source Style Augmentation for Improved Domain Generalization
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes
Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann
Presented at WiCV Workshop, CVPR 2022
 6D Pose Estimation    Meta-Learning    Sim2Real 
PDF Cite Poster
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes

Patents

Determining Whether a Given Input Record of Measurement Data Is Covered by the Training of a Trained Machine Learning Model
Link
Measuring the Generalization Ability of a Trained Machine Learning Model With Respect to Given Measurement Data
Link
Device and Method for Determining an Encoder Configured Image Analysis
Link
Method of and Apparatus for Processing Digital Image Data
Link
Method for Ascertaining a 6D Pose of an Object
Link

Contact