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ORCIDJoost van de Weijer 0001
Person information
- affiliation: Universitat Autònoma de Barcelona, Spain
Other persons with the same name
- Joost van de Weijer 0002
![[0000-0001-9843-3143]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9843-3143")
— Lund University, Centre for Languages and Literature, Sweden
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2020 – today
- 2021
[j42]Yaxing Wang, Abel Gonzalez-Garcia, Luis Herranz, Joost van de Weijer:
Controlling biases and diversity in diverse image-to-image translation. Comput. Vis. Image Underst. 202: 103082 (2021)- [j41]Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference With Compressed Images. IEEE Trans. Image Process. 30: 3069-3083 (2021) - [c86]Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data Domains. VISIGRAPP (4: VISAPP) 2021: 163-171 - [i62]Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021) - [i61]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
On Implicit Attribute Localization for Generalized Zero-Shot Learning. CoRR abs/2103.04704 (2021) - [i60]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i59]Kai Wang, Luis Herranz, Joost van de Weijer:
Continual learning in cross-modal retrieval. CoRR abs/2104.06806 (2021) - 2020
- [j40]Fei Yang, Yongmei Cheng, Joost van de Weijer, Mikhail G. Mozerov:
Improved Discrete Optical Flow Estimation With Triple Image Matching Cost. IEEE Access 8: 17093-17102 (2020) - [j39]Yaxing Wang, Luis Herranz, Joost van de Weijer:
Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. Int. J. Comput. Vis. 128(12): 2849-2872 (2020) - [j38]Rahma Kalboussi, Aymen Azaza, Joost van de Weijer, Mehrez Abdellaoui, Ali Douik:
Object proposals for salient object segmentation in videos. Multim. Tools Appl. 79(13-14): 8677-8693 (2020) - [j37]Gabriel Villalonga, Joost van de Weijer, Antonio M. López:
Recognizing New Classes with Synthetic Data in the Loop: Application to Traffic Sign Recognition. Sensors 20(3): 583 (2020) - [j36]Aymen Azaza, Joost van de Weijer, Ali Douik, Javad Zolfaghari Bengar, Marc Masana:
Saliency from High-Level Semantic Image Features. SN Comput. Sci. 1(4): 200 (2020) - [c85]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops 2020: 915-924 - [c84]Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. CVPR 2020: 4452-4461 - [c83]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CVPR 2020: 6980-6989 - [c82]Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR 2020: 9329-9338 - [c81]Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer:
Orderless Recurrent Models for Multi-Label Classification. CVPR 2020: 13437-13446 - [c80]Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. NeurIPS 2020 - [c79]Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. NeurIPS 2020 - [i58]Mikel Menta, Adriana Romero, Joost van de Weijer:
Learning to adapt class-specific features across domains for semantic segmentation. CoRR abs/2001.08311 (2020) - [i57]Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: continual learning without any forgetting. CoRR abs/2001.08714 (2020) - [i56]Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-supervised Learning for Few-shot Image-to-Image Translation. CoRR abs/2003.13853 (2020) - [i55]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CoRR abs/2004.00440 (2020) - [i54]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CoRR abs/2004.09199 (2020) - [i53]Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference with Compressed Images. CoRR abs/2004.10497 (2020) - [i52]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
Simple and effective localized attribute representations for zero-shot learning. CoRR abs/2006.05938 (2020) - [i51]Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer:
Bookworm continual learning: beyond zero-shot learning and continual learning. CoRR abs/2006.15176 (2020) - [i50]Marc Masana, Bartlomiej Twardowski, Joost van de Weijer:
On Class Orderings for Incremental Learning. CoRR abs/2007.02145 (2020) - [i49]Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. CoRR abs/2007.06271 (2020) - [i48]David Berga, Marc Masana, Joost van de Weijer:
Disentanglement of Color and Shape Representations for Continual Learning. CoRR abs/2007.06356 (2020) - [i47]Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. CoRR abs/2007.12562 (2020) - [i46]Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu:
Learning to Rank for Active Learning: A Listwise Approach. CoRR abs/2008.00078 (2020) - [i45]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR abs/2010.12427 (2020) - [i44]Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer:
Class-incremental learning: survey and performance evaluation. CoRR abs/2010.15277 (2020) - [i43]Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. CoRR abs/2011.05867 (2020) - [i42]Lu Yu, Xialei Liu, Joost van de Weijer:
Self-Training for Class-Incremental Semantic Segmentation. CoRR abs/2012.03362 (2020)
2010 – 2019
- 2019
- [j35]Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. Image Vis. Comput. 92 (2019) - [j34]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1862-1878 (2019) - [j33]Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for fine-grained object recognition in domains with scarce training data. Pattern Recognit. 94: 62-73 (2019) - [j32]Mikhail G. Mozerov, Fei Yang, Joost van de Weijer:
Sparse Data Interpolation Using the Geodesic Distance Affinity Space. IEEE Signal Process. Lett. 26(6): 943-947 (2019) - [j31]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic Data Generation for End-to-End Thermal Infrared Tracking. IEEE Trans. Image Process. 28(4): 1837-1850 (2019) - [j30]Mikhail G. Mozerov, Joost van de Weijer:
One-View Occlusion Detection for Stereo Matching With a Fully Connected CRF Model. IEEE Trans. Image Process. 28(6): 2936-2947 (2019) - [c78]Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa:
Learning Metrics From Teachers: Compact Networks for Image Embedding. CVPR 2019: 2907-2916 - [c77]Hamed Habibi Aghdam, Abel Gonzalez-Garcia, Antonio M. López, Joost van de Weijer:
Active Learning for Deep Detection Neural Networks. ICCV 2019: 3671-3679 - [c76]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. ICCV 2019: 4009-4018 - [c75]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. ICCV Workshops 2019: 914-923 - [c74]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jiri Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c73]Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. ICCV Workshops 2019: 2252-2261 - [c72]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. ACM Multimedia 2019: 1267-1276 - [i41]Mikhail G. Mozerov, Joost van de Weijer:
One-view occlusion detection for stereo matching with a fully connected CRF model. CoRR abs/1901.03852 (2019) - [i40]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR abs/1902.06285 (2019) - [i39]Yaxing Wang, Luis Herranz, Joost van de Weijer:
Mix and match networks: multi-domain alignment for unpaired image-to-image translation. CoRR abs/1903.04294 (2019) - [i38]Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa:
Learning Metrics from Teachers: Compact Networks for Image Embedding. CoRR abs/1904.03624 (2019) - [i37]Mikhail G. Mozerov, Fei Yang, Joost van de Weijer:
Sparse data interpolation using the geodesic distance affinity space. CoRR abs/1905.02229 (2019) - [i36]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
Controlling biases and diversity in diverse image-to-image translation. CoRR abs/1907.09754 (2019) - [i35]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. CoRR abs/1908.00855 (2019) - [i34]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. CoRR abs/1908.06881 (2019) - [i33]Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. CoRR abs/1908.10638 (2019) - [i32]Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. CoRR abs/1908.11714 (2019) - [i31]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. CoRR abs/1908.11757 (2019) - [i30]Hamed Habibi Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López:
Active Learning for Deep Detection Neural Networks. CoRR abs/1911.09168 (2019) - [i29]Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer:
Orderless Recurrent Models for Multi-label Classification. CoRR abs/1911.09996 (2019) - [i28]Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR abs/1912.05270 (2019) - [i27]Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail Mozerov:
Variable Rate Deep Image Compression with Modulated Autoencoder. CoRR abs/1912.05526 (2019) - 2018
- [j29]Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana:
Context proposals for saliency detection. Comput. Vis. Image Underst. 174: 1-11 (2018) - [j28]Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov:
Review on computer vision techniques in emergency situations. Multim. Tools Appl. 77(13): 17069-17107 (2018) - [j27]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29(1): 55-71 (2018) - [j26]Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Shahbaz Khan, Yongmei Cheng, C. Alejandro Párraga:
Beyond Eleven Color Names for Image Understanding. Mach. Vis. Appl. 29(2): 361-373 (2018) - [c71]Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. BMVC 2018: 64 - [c70]Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. CVPR 2018: 5467-5476 - [c69]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR 2018: 7661-7669 - [c68]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c67]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: Generating Images from Limited Data. ECCV (6) 2018: 220-236 - [c66]Marco Buzzelli, Joost van de Weijer, Raimondo Schettini:
Learning Illuminant Estimation from Object Recognition. ICIP 2018: 3234-3238 - [c65]Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR 2018: 2262-2268 - [c64]Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. ICPR 2018: 3019-3024 - [c63]Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio:
Image-to-image translation for cross-domain disentanglement. NeurIPS 2018: 1294-1305 - [c62]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS 2018: 5966-5976 - [c61]Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. WMT (shared task) 2018: 597-602 - [c60]Vacit Oguz Yazici, Joost van de Weijer, Arnau Ramisa:
Color Naming for Multi-color Fashion Items. WorldCIST (3) 2018: 64-73 - [i26]Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR abs/1802.02950 (2018) - [i25]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR abs/1803.03095 (2018) - [i24]Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and match networks: encoder-decoder alignment for zero-pair image translation. CoRR abs/1804.02199 (2018) - [i23]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: generating images from limited data. CoRR abs/1805.01677 (2018) - [i22]Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. CoRR abs/1805.04385 (2018) - [i21]Marco Buzzelli, Joost van de Weijer, Raimondo Schettini:
Learning Illuminant Estimation from Object Recognition. CoRR abs/1805.09264 (2018) - [i20]Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio:
Image-to-image translation for cross-domain disentanglement. CoRR abs/1805.09730 (2018) - [i19]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. CoRR abs/1806.01013 (2018) - [i18]Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana:
Context Proposals for Saliency Detection. CoRR abs/1806.10359 (2018) - [i17]Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data. CoRR abs/1808.00262 (2018) - [i16]Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. CoRR abs/1808.05492 (2018) - [i15]Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. CoRR abs/1809.00151 (2018) - [i14]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR abs/1809.02058 (2018) - [i13]Rada Deeb, Joost van de Weijer, Damien Muselet, Mathieu Hébert, Alain Trémeau:
Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections. CoRR abs/1812.03559 (2018) - 2017
- [j25]Mikhail G. Mozerov, Joost van de Weijer:
Improved Recursive Geodesic Distance Computation for Edge Preserving Filter. IEEE Trans. Image Process. 26(8): 3696-3706 (2017) - [c59]Rada Deeb, Damien Muselet, Mathieu Hébert, Alain Trémeau, Joost van de Weijer:
3D color charts for camera spectral sensitivity estimation. BMVC 2017 - [c58]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV 2017: 1040-1049 - [c57]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Álvarez:
Domain-Adaptive Deep Network Compression. ICCV 2017: 4299-4307 - [c56]Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote:
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. ICCV Workshops 2017: 480-490 - [c55]Laura Lopez-Fuentes, Joost van de Weijer, Marc Bolaños, Harald Skinnemoen:
Multi-modal Deep Learning Approach for Flood Detection. MediaEval 2017 - [c54]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. ICMR 2017: 125-132 - [c53]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) 2017: 297-309 - [c52]Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen:
Bandwidth Limited Object Recognition in High Resolution Imagery. WACV 2017: 1197-1205 - [c51]Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT17 Multimodal Translation Task. WMT 2017: 432-439 - [i12]Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen:
Bandwidth limited object recognition in high resolution imagery. CoRR abs/1701.04210 (2017) - [i11]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen:
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. CoRR abs/1706.01171 (2017) - [i10]Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT17 Multimodal Translation Task. CoRR abs/1707.04481 (2017) - [i9]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR abs/1707.08347 (2017) - [i8]Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov:
Review on Computer Vision Techniques in Emergency Situation. CoRR abs/1708.07455 (2017) - [i7]Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote:
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. CoRR abs/1709.00265 (2017) - [i6]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Álvarez:
Domain-adaptive deep network compression. CoRR abs/1709.01041 (2017) - 2016
- [j24]Raimondo Schettini, Joost van de Weijer, Claudio Cusano, Paolo Napoletano:
Special Section Guest Editorial: Color in Texture and Material Recognition. J. Electronic Imaging 25(6): 061401 (2016) - [c50]Esteve Cervantes, Long Long Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer:
Hierarchical part detection with deep neural networks. ICIP 2016: 1933-1937 - [c49]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. ICMR 2016: 339-342 - [c48]Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer:
Does Multimodality Help Human and Machine for Translation and Image Captioning? WMT 2016: 627-633 - [i5]Marc Masana, Joost van de Weijer, Andrew D. Bagdanov:
On-the-fly Network Pruning for Object Detection. CoRR abs/1605.03477 (2016) - [i4]Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer:
Does Multimodality Help Human and Machine for Translation and Image Captioning? CoRR abs/1605.09186 (2016) - [i3]Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, Jose M. Álvarez:
Invertible Conditional GANs for image editing. CoRR abs/1611.06355 (2016) - [i2]Yaxing Wang, Lichao Zhang, Joost van de Weijer:
Ensembles of Generative Adversarial Networks. CoRR abs/1612.00991 (2016) - [i1]