Radu Timofte
Impact in
- Media Technology top 0.01%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
-
- Advanced Image Processing Techniques 80
- Advanced Vision and Imaging 52
- Image and Signal Denoising Methods 39
- Image Enhancement Techniques 26
- Advanced Image and Video Retrieval Techniques 20
- Video Surveillance and Tracking Methods 18
-
- Image Processing Techniques and Applications 26
- Advanced Image Fusion Techniques 19
- Co-authors
- Luc Van Gool (101 shared papers)Eirikur Agustsson (12 shared papers)Kai Zhang (12 shared papers)Jingyun Liang (7 shared papers)Jiezhang Cao (8 shared papers)Rasmus Rothe (8 shared papers)Guolei Sun (2 shared papers)Yulun Zhang (16 shared papers)
- Journals
- International Journal of Computer Vision (4 papers)Computer Vision and Image Understanding (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)European Journal of Orthodontics (2 papers)IEEE Access (2 papers)
- Partner nations
- SwitzerlandBelgiumGermany
In The Last Decade
Radu Timofte
174 papers receiving 15.7k citations
Radu Timofte's Hit Papers
Peers
Comparison fields: 5 of 171
- Media Technology 6.0k
- Computer Vision and Pattern Recognition 13.2k
- Computer Graphics and Computer-Aided Design 298
- Signal Processing 846
- Acoustics and Ultrasonics 68
Countries citing papers authored by Radu Timofte
This map shows the geographic impact of Radu Timofte's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radu Timofte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Timofte more than expected).
Fields of papers citing papers by Radu Timofte
This network shows the impact of papers produced by Radu Timofte. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radu Timofte. The network helps show where Radu Timofte may publish in the future.
Co-authors
The 25 scholars most cited alongside Radu Timofte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SwinIR: Image Restoration Using Swin Transformer Hit paper breakdown → | 2021 | 2586 |
| 2 | NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study Hit paper breakdown → | 2017 | 2381 |
| 3 | Anchored Neighborhood Regression for Fast Example-Based Super-Resolution Hit paper breakdown → | 2013 | 969 |
| 4 | RePaint: Inpainting using Denoising Diffusion Probabilistic Models Hit paper breakdown → | 2022 | 881 |
| 5 | O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images Hit paper breakdown → | 2018 | 524 |
| 6 | Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks Hit paper breakdown → | 2016 | 517 |
| 7 | CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Hit paper breakdown → | 2023 | 433 |
| 8 | DEX: Deep EXpectation of Apparent Age from a Single Image Hit paper breakdown → | 2015 | 411 |
| 9 | Pedestrian detection at 100 frames per second Hit paper breakdown → | 2012 | 359 |
| 10 | DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks Hit paper breakdown → | 2017 | 359 |
| 11 | Generative adversarial networks for extreme learned image compression Hit paper breakdown → | 2019 | 333 |
| 12 | Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement Hit paper breakdown → | 2023 | 326 |
| 13 | NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study Hit paper breakdown → | 2019 | 292 |
| 14 | Seven Ways to Improve Example-Based Single Image Super Resolution Hit paper breakdown → | 2016 | 289 |
| 15 | Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction Hit paper breakdown → | 2022 | 222 |
| 16 | 2011 | 220 | |
| 17 | 2013 | 216 | |
| 18 | MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction Hit paper breakdown → | 2022 | 190 |
| 19 | DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion Hit paper breakdown → | 2023 | 184 |
| 20 | Efficient and Explicit Modelling of Image Hierarchies for Image Restoration Hit paper breakdown → | 2023 | 159 |
About Radu Timofte
Radu Timofte is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computational Mechanics and Aerospace Engineering, having authored 185 papers that have together received 16.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (80 papers), Advanced Vision and Imaging (52 papers), Image and Signal Denoising Methods (39 papers), Image Processing Techniques and Applications (26 papers), Image Enhancement Techniques (26 papers), Advanced Image and Video Retrieval Techniques (20 papers), Advanced Image Fusion Techniques (19 papers) and Video Surveillance and Tracking Methods (18 papers). The work is most often cited by research in Media Technology (6.0k citations), Computer Vision and Pattern Recognition (13.2k citations), Computer Graphics and Computer-Aided Design (298 citations), Signal Processing (846 citations) and Acoustics and Ultrasonics (68 citations). Radu Timofte has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Luc Van Gool, Eirikur Agustsson, Kai Zhang, Jingyun Liang, Jiezhang Cao, Rasmus Rothe, Guolei Sun, Yulun Zhang, Martin Danelljan and Markus Mathias. Their work appears in journals such as International Journal of Computer Vision, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Orthodontics and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.