Radu Timofte
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Media Technology top 0.05%
- Advanced Image Fusion Techniques
Papers in
-
- Advanced Image Processing Techniques 174
- Image Enhancement Techniques 76
- Advanced Neural Network Applications 48
- Generative Adversarial Networks and Image Synthesis 34
- Advanced Vision and Imaging 27
- Image and Video Quality Assessment 23
- Image and Signal Denoising Methods 22
- Video Surveillance and Tracking Methods 21
- Co-authors
- Luc Van Gool (164 shared papers)Eirikur Agustsson (20 shared papers)Kai Zhang (23 shared papers)Martin Danelljan (27 shared papers)Jingyun Liang (11 shared papers)Jiezhang Cao (9 shared papers)Rasmus Rothe (11 shared papers)Guolei Sun (5 shared papers)
- Journals
- Lecture notes in computer science (69 papers)Computer Vision and Image Understanding (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)International Journal of Computer Vision (4 papers)European Journal of Orthodontics (3 papers)
- Partner nations
- SwitzerlandGermanyChina
In The Last Decade
Radu Timofte
413 papers receiving 36.6k citations
Radu Timofte's Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 32.1k
- Media Technology 2.6k
- Acoustics and Ultrasonics 167
- Signal Processing 1.1k
- Computer Graphics and Computer-Aided Design 283
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 443 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SwinIR: Image Restoration Using Swin Transformer Hit paper breakdown → | 2021 | 3209 |
| 2 | NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study Hit paper breakdown → | 2017 | 2965 |
| 3 | RePaint: Inpainting using Denoising Diffusion Probabilistic Models Hit paper breakdown → | 2022 | 1167 |
| 4 | A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution Hit paper breakdown → | 2015 | 1151 |
| 5 | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Hit paper breakdown → | 2017 | 1113 |
| 6 | Anchored Neighborhood Regression for Fast Example-Based Super-Resolution Hit paper breakdown → | 2013 | 1110 |
| 7 | Learning Discriminative Model Prediction for Tracking Hit paper breakdown → | 2019 | 1097 |
| 8 | Plug-and-Play Image Restoration With Deep Denoiser Prior Hit paper breakdown → | 2021 | 779 |
| 9 | Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks Hit paper breakdown → | 2016 | 632 |
| 10 | O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images Hit paper breakdown → | 2018 | 609 |
| 11 | Probabilistic Regression for Visual Tracking Hit paper breakdown → | 2020 | 573 |
| 12 | CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Hit paper breakdown → | 2023 | 561 |
| 13 | Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Hit paper breakdown → | 2021 | 546 |
| 14 | Deep Unfolding Network for Image Super-Resolution Hit paper breakdown → | 2020 | 514 |
| 15 | DEX: Deep EXpectation of Apparent Age from a Single Image Hit paper breakdown → | 2015 | 507 |
| 16 | DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks Hit paper breakdown → | 2017 | 471 |
| 17 | Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement Hit paper breakdown → | 2023 | 469 |
| 18 | The 2018 PIRM Challenge on Perceptual Image Super-Resolution Hit paper breakdown → | 2019 | 460 |
| 19 | Pedestrian detection at 100 frames per second Hit paper breakdown → | 2012 | 427 |
| 20 | Generative Adversarial Networks for Extreme Learned Image Compression Hit paper breakdown → | 2019 | 423 |
About Radu Timofte
Radu Timofte is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Automotive Engineering and Computer Graphics and Computer-Aided Design, having authored 443 papers that have together received 38.7k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (174 papers), Image Enhancement Techniques (76 papers), Advanced Neural Network Applications (48 papers), Generative Adversarial Networks and Image Synthesis (34 papers), Advanced Vision and Imaging (27 papers), Image and Video Quality Assessment (23 papers), Image and Signal Denoising Methods (22 papers) and Video Surveillance and Tracking Methods (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (32.1k citations), Media Technology (2.6k citations), Acoustics and Ultrasonics (167 citations), Signal Processing (1.1k citations) and Computer Graphics and Computer-Aided Design (283 citations). Radu Timofte has collaborated with scholars based in Switzerland, Germany and China. Frequent co-authors include Luc Van Gool, Eirikur Agustsson, Kai Zhang, Martin Danelljan, Jingyun Liang, Jiezhang Cao, Rasmus Rothe, Guolei Sun, Codruta Orniana Ancuti and Cosmin Ancuți. Their work appears in journals such as Lecture notes in computer science, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision 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.