Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
Laura Lopez-Fuentes; Andrew Bagdanov; Joost Van de Weijer; Harald Skinnemoen |
Bandwidth Limited Object Recognition in High Resolution Imagery |
2017 |
IEEE Winter conference on Applications of Computer Vision |
|
|
|
Laura Lopez-Fuentes; Joost Van de Weijer; Manuel Gonzalez-Hidalgo; Harald Skinnemoen; Andrew Bagdanov |
Review on computer vision techniques in emergency situations |
2018 |
Multimedia Tools and Applications |
77 |
17069–17107 |
|
Laura Lopez-Fuentes; Joost Van de Weijer; Marc Bolaños; Harald Skinnemoen |
Multi-modal Deep Learning Approach for Flood Detection |
2017 |
MediaEval Benchmarking Initiative for Multimedia Evaluation |
|
|
|
Lichao Zhang; Abel Gonzalez-Garcia; Joost Van de Weijer; Martin Danelljan; Fahad Shahbaz Khan |
Synthetic Data Generation for End-to-End Thermal Infrared Tracking |
2019 |
IEEE Transactions on Image Processing |
28 |
1837 - 1850 |
|
Lichao Zhang; Abel Gonzalez-Garcia; Joost Van de Weijer; Martin Danelljan; Fahad Shahbaz Khan |
Learning the Model Update for Siamese Trackers |
2019 |
18th IEEE International Conference on Computer Vision |
|
4009-4018 |
|
Lichao Zhang; Martin Danelljan; Abel Gonzalez-Garcia; Joost Van de Weijer; Fahad Shahbaz Khan |
Multi-Modal Fusion for End-to-End RGB-T Tracking |
2019 |
IEEE International Conference on Computer Vision Workshops |
|
2252-2261 |
|
Lu Yu; Bartlomiej Twardowski; Xialei Liu; Luis Herranz; Kai Wang; Yongmai Cheng; Shangling Jui; Joost Van de Weijer |
Semantic Drift Compensation for Class-Incremental Learning of Embeddings |
2020 |
33rd IEEE Conference on Computer Vision and Pattern Recognition |
|
|
|
Lu Yu; Lichao Zhang; Joost Van de Weijer; Fahad Shahbaz Khan; Yongmei Cheng; C. Alejandro Parraga |
Beyond Eleven Color Names for Image Understanding |
2018 |
Machine Vision and Applications |
29 |
361-373 |
|
Lu Yu; Vacit Oguz Yazici; Xialei Liu; Joost Van de Weijer; Yongmei Cheng; Arnau Ramisa |
Learning Metrics from Teachers: Compact Networks for Image Embedding |
2019 |
32nd IEEE Conference on Computer Vision and Pattern Recognition |
|
2907-2916 |
|
Lu Yu; Xialei Liu; Joost Van de Weijer |
Self-Training for Class-Incremental Semantic Segmentation |
2022 |
IEEE Transactions on Neural Networks and Learning Systems |
|
|
|
Lu Yu; Yongmei Cheng; Joost Van de Weijer |
Weakly Supervised Domain-Specific Color Naming Based on Attention |
2018 |
24th International Conference on Pattern Recognition |
|
3019 - 3024 |
|
M. Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Joost Van de Weijer |
Adaptive color attributes for real-time visual tracking |
2014 |
27th IEEE Conference on Computer Vision and Pattern Recognition |
|
1090 - 1097 |
|
M. Gonzalez-Audicana; Xavier Otazu; O. Fors; A. Seco |
Comparison between Mallats and the trous discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images |
2005 |
International Journal of Remote Sensing, 26(3):595–614 (IF: 0.925) |
|
|
|
M. Gonzalez-Audicana; Xavier Otazu; O. Fors; R Garcia; J. Nuñez |
Fusion of different spatial and spectral resolution images: development, apllication and comparison of new methods based on wavelets. |
2002 |
Proceedings of the 1st. International Symposium Recent Advances in Quantitative Remote Sensing. |
|
|
|
M. Li; Xialei Liu; Joost Van de Weijer; Bogdan Raducanu |
Learning to Rank for Active Learning: A Listwise Approach |
2020 |
25th International Conference on Pattern Recognition |
|
5587-5594 |
|
Marc Masana; Bartlomiej Twardowski; Joost Van de Weijer |
On Class Orderings for Incremental Learning |
2020 |
ICML Workshop on Continual Learning |
|
|
|
Marc Masana; Idoia Ruiz; Joan Serrat; Joost Van de Weijer; Antonio Lopez |
Metric Learning for Novelty and Anomaly Detection |
2018 |
29th British Machine Vision Conference |
|
|
|
Marc Masana; Joost Van de Weijer; Andrew Bagdanov |
On-the-fly Network pruning for object detection |
2016 |
International conference on learning representations |
|
|
|