Danelljan, Martin

ECO: Efficient Convolution Operators for Tracking

Danelljan, M., Bhat, G., Khan, F. S., & Felsberg, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 2,805

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Danelljan, M., Robinson, A., Shahbaz Khan, F., & Felsberg, M. (2016) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 1,853

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

ATOM: Accurate Tracking by Overlap Maximization

Danelljan, M., Bhat, G., Khan, F. S., & Felsberg, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,591

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

Discriminative Scale Space Tracking

Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 1,315

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

Unveiling the Power of Deep Tracking

Bhat, G., Johnander, J., Danelljan, M., Khan, F. S., & Felsberg, M. (2018) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 514

Learning the Model Update for Siamese Trackers

Zhang, L., Gonzalez-Garcia, A., Weijer, J. V. D., Danelljan, M., & Khan, F. S. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 475

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

Learning Fast and Robust Target Models for Video Object Segmentation

Robinson, A., Jaremo Lawin, F., Danelljan, M., Khan, F. S., & Felsberg, M. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 158