Timofte, Radu

NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

Agustsson, E., & Timofte, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 4,295

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., & Van Gool, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 1,778

Learning Discriminative Model Prediction for Tracking

Bhat, G., Danelljan, M., Van Gool, L., & Timofte, R. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,515

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

Zhang, K., Liang, J., Van Gool, L., & Timofte, R. (2021) · arXiv

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 814

Probabilistic Regression for Visual Tracking

Danelljan, M., Van Gool, L., & Timofte, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 798

NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images

Ancuti, C. O., Ancuti, C., & Timofte, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Image Enhancement TechniquesImage Processing Techniques and Applications

Cited by 517

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Zhao, Z., Bai, H., Zhu, Y., Zhang, J., Xu, S., Zhang, Y., Zhang, K., Meng, D., Timofte, R., & Van Gool, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Image Fusion TechniquesImage Enhancement Techniques

Cited by 431

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Agustsson, E., Mentzer, F., Tschannen, M., Cavigelli, L., Timofte, R., Benini, L., & Van Gool, L. (2017) · arXiv

Advanced Data Compression TechniquesAdvanced Neural Network Applications

Cited by 403

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Ignatov, A., Timofte, R., Chou, W., Wang, K., Wu, M., Hartley, T., & Van Gool, L. (2019) · Lecture Notes in Computer Science

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 347

Learning What to Learn for Video Object Segmentation

Bhat, G., Lawin, F. J., Danelljan, M., Robinson, A., Felsberg, M., Van Gool, L., & Timofte, R. (2020) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 160

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Li, Y., Zhang, Y., Timofte, R., Van Gool, L., Yu, L., Li, Y., Li, X., Jiang, T., Wu, Q., Han, M., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Image Processing TechniquesAdvanced Neural Network Applications

Cited by 72