Marcos V. Conde

Artificial Intelligence Researcher

Marcos V. Conde

CVLab, Würzburg, Germany

PhD Researcher in Artificial Intelligence and Computer Vision at the University of Würzburg, advised by Prof. Radu Timofte. I’m Computer Vision Scientist at Sony SIE working on problems in computer vision related to my thesis. I am also Senior Data Scientist (Kaggle Grandmaster) at, ranked 42nd of 205.000 data scientists worldwide at Google’s largest data science platform for problem-solving.

My current research interests include neural networks, machine learning, low-level computer vision, inverse problems, computational photography and photorealism.

During 2020-21, I worked on image processing at Huawei Noah’s Ark Lab (London) supervised by Dr. Eduardo Pérez-Pellitero and Prof. Aleš Leonardis.
I obtained my M.Sc. in Computer Vision from the Autonomous University of Barcelona (UAB) with honours for my work Real-time Image Enhancement for Smartphones.

Outside of academia, my hobbies include hiking, photography, history, economy, and art.

Mail LinkedIn Lab Scholar

“Only one who devotes himself to a cause with his whole strength and soul can be a true master. For this reason mastery demands all of a person.” Albert Einstein



  • Video Quality Experts Group (VQEG). June, 2023. Presentation of "Towards Real-Time 4K Image Super-Resolution". Other invited speakers were David Minnen (Google), Richard Zhang (Adobe). Meeting hosted by Saman Zadtootaghaj.
  • NTIRE CVPR 2023 Workshop. Presentation of our recent work on Bokeh Effect rendering and Real-time Super-Resolution.
  • AIM ECCV 2022 Workshop. Presentation on "Image Signal Processing and RAW images reconstructions".


I'm interested in neural networks and deep learning to solve computer vision problems in image/video processing, computer graphics and computational photography. Please see the complete list of publications at Google Scholar.

  1. NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
    Conde, Marcos V, Vazquez-Corral, Javier, Brown, Michael S, and Timofte, Radu
    arXiv 2023
  2. Efficient Multi-Lens Bokeh Effect Rendering and Transformation
    Seizinger, Tim, Conde, Marcos V., Kolmet, Manuel, Bishop, Tom E., and Timofte, Radu
    In CVPR Workshops 2023
  3. Towards Real-Time 4K Image Super-Resolution
    Zamfir, Eduard, Conde, Marcos V., and Timofte, Radu
    In CVPR Workshops 2023
  4. Perceptual image enhancement for smartphone real-time applications
    Conde, Marcos V, Vasluianu, Florin, Vazquez-Corral, Javier, and Timofte, Radu
    In WACV (Oral) 2023
  5. Model-Based Image Signal Processors via Learnable Dictionaries
    Conde, Marcos V, McDonagh, Steven, Maggioni, Matteo, Leonardis, Aleš, and Pérez-Pellitero, Eduardo
    AAAI (Spotlight 15%) 2022
  6. Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
    Conde, Marcos V, Choi, Ui-Jin, Burchi, Maxime, and Timofte, Radu
    In ECCV Workshops 2022
  7. CLIP-Art: Contrastive Pre-Training for Fine-Grained Art Classification
    Conde, Marcos V, and Turgutlu, Kerem
    In CVPR Workshops 2021
  8. Multi-attention Networks for Temporal Localization of Video-level Labels
    Zhang, Lijun, Nizampatnam, Srinath, Gangopadhyay, Ahana, and Conde, Marcos V
    In ICCV Workshops 2019
  9. h2oGPT: Democratizing Large Language Models,
    arXiv 2023