van de Weijer, Joost

86 publications

ICLR 2025 $InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng

NeurIPS 2025 Accurate and Efficient Low-Rank Model Merging in Core Space Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer

ICCV 2025 Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière, Joost Van De Weijer

NeurIPS 2025 Covariances for Free: Exploiting Mean Distributions for Training-Free Federated Learning Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

NeurIPS 2025 Free-Lunch Color-Texture Disentanglement for Stylized Image Generation Jiang Qin, Alexandra Gomez-Villa, Senmao Li, Shiqi Yang, Yaxing Wang, Kai Wang, Joost van de Weijer

ICML 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartłomiej Twardowski, Joost Van De Weijer

WACV 2025 Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier Kai Wang, Fei Yang, Bogdan Raducanu, Joost van de Weijer

ICML 2025 No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

ICLR 2025 One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng

CVPR 2025 One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Senmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang

CoLLAs 2024 An Empirical Analysis of Forgetting in Pre-Trained Models with Incremental Low-Rank Updates Albin Soutif, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov

CVPRW 2024 Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-Trained Vision Transformers Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer

ECCV 2024 ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer

TMLR 2024 Continual Learning: Applications and the Road Forward Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M van de Ven

ICLR 2024 Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri, Tomaso Trinci, Albin Soutif, Joost van de Weijer, Andrew D. Bagdanov

ECCV 2024 Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion Models Claudio Rota, Marco Buzzelli, Joost van de Weijer

ECCV 2024 Exemplar-Free Continual Representation Learning via Learnable Drift Compensation Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andy Bagdanov, Bartlomiej Twardowski, Joost van de Weijer

NeurIPS 2024 Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang

ICLR 2024 Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Khan, Qibin Hou, Yaxing Wang, Jian Yang

WACV 2024 Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer

CVPR 2024 Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bart?omiej Twardowski, Joost van de Weijer

CVPRW 2024 The Expanding Scope of the Stability Gap: Unveiling Its Presence in Joint Incremental Learning of Homogeneous Tasks Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu

NeurIPS 2024 Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang

CVPR 2023 3D-Aware Multi-Class Image-to-Image Translation with NeRFs Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang

ICCVW 2023 A Comprehensive Empirical Evaluation on Online Continual Learning Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati

WACV 2023 Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker

ICCV 2023 Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer

ICCVW 2023 Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer

CVPRW 2023 Density mAP Distillation for Incremental Object Counting Chenshen Wu, Joost van de Weijer

NeurIPS 2023 Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer

CVPR 2023 Endpoints Weight Fusion for Class Incremental Semantic Segmentation Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng

NeurIPS 2023 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami, Yuyang Liu, Bartłomiej Twardowski, Joost van de Weijer

ICCV 2023 ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk, Joost van de Weijer, Bartosz Zieliński, Bartlomiej Twardowski

ICLR 2023 Planckian Jitter: Countering the Color-Crippling Effects of Color Jitter on Self-Supervised Training Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

ICCVW 2023 ScrollNet: Dynamic Weight Importance for Continual Learning Fei Yang, Kai Wang, Joost van de Weijer

ICCVW 2023 The First Visual Object Tracking Segmentation VOTS2023 Challenge Results Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

CVPRW 2022 Area Under the ROC Curve Maximization for Metric Learning Bojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer, Carlo Gatta

NeurIPS 2022 Attracting and Dispersing: A Simple Approach for Source-Free Domain Adaptation Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

WACV 2022 Class-Balanced Active Learning for Image Classification Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez Fuentes, Bogdan Raducanu

CVPRW 2022 Continually Learning Self-Supervised Representations with Projected Functional Regularization Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

ICLR 2022 Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data Yaxing Wang, Joost Van De Weijer, Lu Yu, Shangling Jui

CVPRW 2022 Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

CVPRW 2022 Towards Exemplar-Free Continual Learning in Vision Transformers: An Account of Attention, Functional and Weight Regularization Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer

CVPRW 2022 Transferring Unconditional to Conditional GANs with Hyper-Modulation Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CVPRW 2021 Continual Learning in Cross-Modal Retrieval Kai Wang, Luis Herranz, Joost van de Weijer

NeurIPS 2021 Exploiting the Intrinsic Neighborhood Structure for Source-Free Domain Adaptation Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

ICCV 2021 Generalized Source-Free Domain Adaptation Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

ICCVW 2021 Reducing Label Effort: Self-Supervised Meets Active Learning Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu

CVPRW 2021 Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning Marc Masana, Tinne Tuytelaars, Joost van de Weijer

ICCV 2021 TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets Yaxing Wang, Héctor Laria, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu

NeurIPS 2020 DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Yaxing Wang, Lu Yu, Joost van de Weijer

CVPRW 2020 Generative Feature Replay for Class-Incremental Learning Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

NeurIPS 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

ICMLW 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

ICCVW 2019 Multi-Modal Fusion for End-to-End RGB-T Tracking Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan

ICCVW 2019 Temporal Coherence for Active Learning in Videos Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results 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, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí 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

NeurIPS 2018 Image-to-Image Translation for Cross-Domain Disentanglement Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio

NeurIPS 2018 Memory Replay GANs: Learning to Generate New Categories Without Forgetting Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results 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, Zhenhua Feng, Zhihui Wang, Zhiqun He

ECCV 2018 Transferring GANs: Generating Images from Limited Data Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu

ICCVW 2017 Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote

WACV 2017 Bandwidth Limited Object Recognition in High Resolution Imagery Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen

ICCV 2017 Domain-Adaptive Deep Network Compression Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Alvarez

ICCV 2017 RankIQA: Learning from Rankings for No-Reference Image Quality Assessment Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

ICCV 2015 From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning Adria Ruiz, Joost Van de Weijer, Xavier Binefa

CVPR 2014 Adaptive Color Attributes for Real-Time Visual Tracking Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer

ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

CVPRW 2014 Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks Carlo Gatta, Adriana Romero, Joost van de Weijer

CVPR 2013 Discriminative Color Descriptors Rahat Khan, Joost van de Weijer, Fahad Shahbaz Khan, Damien Muselet, Christophe Ducottet, Cecile Barat

CVPR 2012 Color Attributes for Object Detection Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López

ICCV 2011 Object Recoloring Based on Intrinsic Image Estimation Shida Beigpour, Joost van de Weijer

CVPR 2010 Harmony Potentials for Joint Classification and Segmentation Josep M. Gonfaus, Xavier Boix Bosch, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez

CVPR 2009 Physics-Based Edge Evaluation for Improved Color Constancy Arjan Gijsenij, Theo Gevers, Joost van de Weijer

ICCV 2009 Top-Down Color Attention for Object Recognition Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell

ECCV 2008 Image Segmentation in the Presence of Shadows and Highlights Eduard Vazquez, Joost van de Weijer, Ramon Baldrich

CVPR 2007 Learning Color Names from Real-World Images Joost van de Weijer, Cordelia Schmid, Jakob Verbeek

ICCV 2007 Using High-Level Visual Information for Color Constancy Joost van de Weijer, Cordelia Schmid, Jakob Verbeek

ECCV 2006 Articulated-Body Tracking Through Anisotropic Edge Detection David Knossow, Joost van de Weijer, Radu Horaud, Rémi Ronfard

ECCV 2006 Coloring Local Feature Extraction Joost van de Weijer, Cordelia Schmid

CVPRW 2006 Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions Nicu Sebe, Theo Gevers, Sietse Dijkstra, Joost van de Weijer

CVPR 2005 Boosting Saliency in Color Image Features Joost van de Weijer, Theo Gevers

ICCV 2003 Color Edge Detection by Photometric Quasi-Invariants Joost van de Weijer, Theo Gevers, Jan-Mark Geusebroek

ECCV 2002 Fast Anisotropic Gauss Filtering Jan-Mark Geusebroek, Arnold W. M. Smeulders, Joost van de Weijer

CVPR 2001 Local Mode Filtering Joost van de Weijer, Rein van den Boomgaard