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Bachmann, Roman

  1. Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
    2021/10/11 by Ainaz Eftekhar, Alexander F. Sax, Eftekhar, Ainaz +7 · 31 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Robotics (cs.RO) #Robotics and Sensor-Based Localization
  2. MultiMAE: Multi-modal Multi-task Masked Autoencoders
    2022/04/04 by Bachmann, Roman, Mizrahi, David, Atanov, Andrei +1 · 27 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. 4M: Massively Multimodal Masked Modeling
    2023/12/11 by Mizrahi, David, Bachmann, Roman, Kar, Oğuzhan Fatih +4 · 15 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
    2025/02/19 by Bachmann, Roman, Allardice, Jesse, Mizrahi, David +6 · 20 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
    2024/06/13 by Roman Bachmann, Bachmann, Roman, Oğuzhan Fatih Kar +15 · 9 citations
    Business, Management and Accounting · Earth and Planetary Sciences · #3D Surveying and Cultural Heritage #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quality Function Deployment in Product Design
  6. ViPer: Visual Personalization of Generative Models via Individual Preference Learning
    2024/07/24 by Salehi, Sogand, Shafiei, Mahdi, Yeo, Teresa +2 · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
    2025/07/02 by Ramachandran, Rahul, Garjani, Ali, Bachmann, Roman +3 · 10 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Modality-invariant Visual Odometry for Embodied Vision
    2023/04/29 by Marius Memmel, Memmel, Marius, Roman Bachmann +3 · 2 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Underwater Vehicles and Communication Systems
  9. Training Binary Neural Networks using the Bayesian Learning Rule
    2020/02/25 by Xiangming Meng, Roman Bachmann, Meng, Xiangming +3 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms