Yumeng Li

Yumeng Li

Applied Scientist

Amazon

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

PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories
CVPR 2026
Gemma Canet Tarres, Manel Baradad, Francesc Moreno-Noguer, Yumeng Li
Video Diffusion Model Image Composition and Editing AIGC
PDF Cite
PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
ICLR 2025
Yumeng Li, William Beluch, Margret Keuper, Dan Zhang, Anna Khoreva
Text-to-Video Temporal Attention Video Diffusion Model AIGC
PDF Cite Code Project
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Label-free Neural Semantic Image Synthesis
ECCV 2024
Jiayi Wang, Kevin A. Laube, Yumeng Li, Jan H. Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva
Stable Diffusion Controllable Synthesis AIGC
PDF Cite Project
Label-free Neural Semantic Image Synthesis
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
ICLR 2024
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
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
BMVC 2023 (Oral)
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
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
BRAVO Workshop at ICCV 2023
Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li
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
IJCV Journal
Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
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
WACV 2023
Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
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
WiCV Workshop at CVPR 2022
Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann
6D Pose Estimation Meta-Learning Sim2Real
PDF Cite Poster
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes

Patents

Method and Device for Generating Synthetic Video Data from a Text Prompt
Link
Device and Method of Synthetic Image Generation
Link
Technique for Extracting Features of an Environment from Image Data
Link
Transferring Knowledge from a Teacher Neural Network to a Student Neural Network
Link
Device and Computer-Implemented Methods for Machine Learning, for Providing a Machine Learning System, or for Operating a Technical System
Link
See all 12 patents

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