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Academic lineage

Possible advisorsa guess from early papers, not confirmed

  • Radu Timofte

    Possible advisor · last author on 3 of their early first-author papers, 2023–2026

    Suggested from co-authorship

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Works13 from public data

TitleCited by
  • NTIRE 2023 Image Shadow Removal Challenge Report

    Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, +22 more

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2023

    52
  • WSRD: A Novel Benchmark for High Resolution Image Shadow Removal

    Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2023

    51
  • NTIRE 2024 Image Shadow Removal Challenge Report

    Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, +22 more

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2024

    42
  • NTIRE 2025 Ambient Lighting Normalization Challenge Report

    Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Radu Timofte, Yuanfei Bao, Xingbo Wang, Xin Lu, +22 more

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2025

    28
  • Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report

    Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, +22 more

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2023

    27
  • NTIRE 2023 Challenge on Night Photography Rendering

    Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banić, Radu Timofte, Richard Collins, M. A. Efimova, +22 more

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2023

    25
  • Ntire 2025 Image Shadow Removal Challenge Report

    Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Cailian Chen, Zongwei Wu, Radu Timofte, Mingjia Li, Jin Hu, +22 more

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2025

    This work examines the findings of the NTIRE 2025 Shadow Removal Challenge, with 17 teams successfully submitting their solutions during the final evaluation phase, and one focusing on reconstruction fidelity and the other on visual perception through a user study.

    22
  • The First Controllable Bokeh Rendering Challenge at NTIRE 2026

    Tim Seizinger, Florin-Alexandru Vasluianu, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, Dafeng Zhang, Yipeng Lin, +18 more

    arXiv · 2026

    20
  • Efficient Multi-Lens Bokeh Effect Rendering and Transformation

    Tim Seizinger, Marcos V. Conde, Manuel Kolmet, Tom E. Bishop, Radu Timofte

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2023

    20
  • Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures

    Tim Seizinger, Florin-Alexandru Vasluianu, Marcos V. Conde, Zongwei Wu, Radu Timofte

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2025

    This work proposes Bokehlicious, a highly efficient network that provides intuitive control over Bokeh strength through an ApertureAware Attention mechanism, mimicking the physical lens aperture, achieving competitive results on the RealDOF benchmark.

    15
  • Towards Image Ambient Lighting Normalization

    Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu, Rakesh Ranjan, Radu Timofte

    Lecture notes in computer science · 2024

    12
  • After the Party: Navigating the Mapping from Color to Ambient Lighting

    Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu, Radu Timofte

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2025

    CL3AN is introduced, the first large-scale, high-resolution dataset of its kind designed to facilitate the restoration of images captured under multiple Colored Light sources to their AmbientNormalized counterparts, and demonstrates enhanced robustness under non-homogeneous color lighting and material-specific reflectance variations, all while maintaining a highly competitive computational cost.

    4
  • The RealDefocus Benchmark for Defocus Deblurring

    Tim Seizinger, Zhuyun Zhou, Radu Timofte

    Proceedings - International Conference on Image Processing · 2026

    RealDefocus, a benchmark derived from the real-world RealBokeh dataset originally proposed for Bokeh Rendering, is built on, providing paired defocused inputs and sharp ground truth images, predefined training/validation/test splits, and a unified evaluation framework for comparing image restoration and neural rendering approaches.

    –

Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.

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