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 94
- Advanced Vision and Imaging 68
- Image and Signal Denoising Methods 47
- Image Enhancement Techniques 33
- Advanced Image and Video Retrieval Techniques 25
- Advanced Neural Network Applications 20
-
- Image Processing Techniques and Applications 31
- Advanced Image Fusion Techniques 22
- Co-authors
- Luc Van Gool (122 shared papers)Eirikur Agustsson (16 shared papers)Kai Zhang (14 shared papers)Jingyun Liang (8 shared papers)Jiezhang Cao (8 shared papers)Rasmus Rothe (9 shared papers)Guolei Sun (2 shared papers)Vincent De Smet (2 shared papers)
- Journals
- International Journal of Computer Vision (4 papers)Lecture notes in computer science (31 papers)Computer Vision and Image Understanding (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)European Journal of Orthodontics (2 papers)
- Partner nations
- SwitzerlandBelgiumGermany
In The Last Decade
Radu Timofte
211 papers receiving 19.5k citations
Radu Timofte's Hit Papers
Peers
Comparison fields: 5 of 178
- Media Technology 7.4k
- Computer Vision and Pattern Recognition 16.6k
- Computer Graphics and Computer-Aided Design 384
- Signal Processing 986
- Acoustics and Ultrasonics 72
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 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SwinIR: Image Restoration Using Swin Transformer Hit paper breakdown → | 2021 | 2765 |
| 2 | NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study Hit paper breakdown → | 2017 | 2637 |
| 3 | A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution Hit paper breakdown → | 2015 | 1082 |
| 4 | Anchored Neighborhood Regression for Fast Example-Based Super-Resolution Hit paper breakdown → | 2013 | 1063 |
| 5 | RePaint: Inpainting using Denoising Diffusion Probabilistic Models Hit paper breakdown → | 2022 | 988 |
| 6 | Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks Hit paper breakdown → | 2016 | 584 |
| 7 | O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images Hit paper breakdown → | 2018 | 563 |
| 8 | DEX: Deep EXpectation of Apparent Age from a Single Image Hit paper breakdown → | 2015 | 470 |
| 9 | CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Hit paper breakdown → | 2023 | 443 |
| 10 | Pedestrian detection at 100 frames per second Hit paper breakdown → | 2012 | 414 |
| 11 | DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks Hit paper breakdown → | 2017 | 404 |
| 12 | Generative adversarial networks for extreme learned image compression Hit paper breakdown → | 2019 | 359 |
| 13 | Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement Hit paper breakdown → | 2023 | 347 |
| 14 | NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study Hit paper breakdown → | 2019 | 333 |
| 15 | Seven Ways to Improve Example-Based Single Image Super Resolution Hit paper breakdown → | 2016 | 310 |
| 16 | 2010 | 258 | |
| 17 | 2013 | 252 | |
| 18 | 2011 | 250 | |
| 19 | 2016 | 240 | |
| 20 | Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction Hit paper breakdown → | 2022 | 236 |
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 226 papers that have together received 20.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (94 papers), Advanced Vision and Imaging (68 papers), Image and Signal Denoising Methods (47 papers), Image Enhancement Techniques (33 papers), Image Processing Techniques and Applications (31 papers), Advanced Image and Video Retrieval Techniques (25 papers), Advanced Image Fusion Techniques (22 papers) and Advanced Neural Network Applications (20 papers). The work is most often cited by research in Media Technology (7.4k citations), Computer Vision and Pattern Recognition (16.6k citations), Computer Graphics and Computer-Aided Design (384 citations), Signal Processing (986 citations) and Acoustics and Ultrasonics (72 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, Vincent De Smet, Luc J. Van Gool and Yulun Zhang. Their work appears in journals such as International Journal of Computer Vision, Lecture notes in computer science, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Orthodontics.
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.