Joost van de Weijer

350 papers A* 50A 14B 16Journal 205Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification. CoRR Dipam Goswami, Simone Magistri, Gido M. van de Ven, Bartlomiej Twardowski, Andrew D. Bagdanov, Tinne Tuytelaars, Joost van de Weijer
2026	J	`jnl`	IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment. CoRR Simone Magistri, Dipam Goswami, Marco Mistretta, Bartlomiej Twardowski, Joost van de Weijer, Andrew D. Bagdanov
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	J	`jnl`	NumColor: Precise Numeric Color Control in Text-to-Image Generation. CoRR Muhammad Atif Butt, Diego Hernandez, Alexandra Gomez-Villa, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer
2026	J	`jnl`	Revisiting Weight Regularization for Low-Rank Continual Learning. CoRR Yaoyue Zheng, Yin Zhang, Joost van de Weijer, Gido M. van de Ven, Shaoyi Du, Xuetao Zhang, Zhiqiang Tian
2026	J	`jnl`	Routing without Forgetting. CoRR Alessio Masano, Giovanni Bellitto, Dipam Goswani, Joost van de Weijer, Concetto Spampinato
2025	J	`jnl`	AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking. IEEE Trans. Intell. Veh. Chuanming Tang, Kai Wang, Joost van de Weijer, Jianlin Zhang, Yongmei Huang
2025	J	`jnl`	Accurate and Efficient Low-Rank Model Merging in Core Space. CoRR Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartlomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer
2025	J	`jnl`	Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning. CoRR Stanislaw Pawlak, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer
2025	J	`jnl`	CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection. Expert Syst. Appl. Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
2025	J	`jnl`	CLA: Latent Alignment for Online Continual Self-Supervised Learning. CoRR Giovanni A. Cignoni, Andrea Cossu, Alexandra Gomez-Villa, Joost van de Weijer, Antonio Carta
2025	J	`jnl`	Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting. CoRR Yuyang Liu, Qiuhe Hong, Linlan Huang, Alexandra Gomez-Villa, Dipam Goswami, Xialei Liu, Joost van de Weijer, Yonghong Tian
2025	J	`jnl`	EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning. CoRR Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
2025	J	`jnl`	EchoDistill: Bidirectional Concept Distillation for One-Step Diffusion Personalization. CoRR Yixiong Yang, Tao Wu, Senmao Li, Shiqi Yang, Yaxing Wang, Joost van de Weijer, Kai Wang
2025	J	`jnl`	Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation. Int. J. Comput. Vis. Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer
2025	J	`jnl`	Free-Lunch Color-Texture Disentanglement for Stylized Image Generation. CoRR Jiang Qin, Senmao Li, Alexandra Gomez-Villa, Shiqi Yang, Yaxing Wang, Kai Wang, Joost van de Weijer
2025	J	`jnl`	GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models. CoRR Muhammad Atif Butt, Alexandra Gomez-Villa, Tao Wu, Javier Vazquez-Corral, Joost van de Weijer, Kai Wang
2025	A*	`conf`	Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers. ICML Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartlomiej Twardowski, Joost van de Weijer
2025	A*	`conf`	InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration. ICLR Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025	J	`jnl`	InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration. CoRR Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025	J	`jnl`	Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models. CoRR Héctor Laria Mantecon, Alex Gomez-Villa, Jiang Qin, Muhammad Atif Butt, Bogdan Raducanu, Javier Vazquez-Corral, Joost van de Weijer, Kai Wang
2025	J	`jnl`	LumiCtrl : Learning Illuminant Prompts for Lighting Control in Personalized Text-to-Image Models. CoRR Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer
2025	A	`conf`	Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier. WACV Kai Wang, Fei Yang, Bogdan Raducanu, Joost van de Weijer
2025	J	`jnl`	No Images, No Problem: Retaining Knowledge in Continual VQA with Questions-Only Memory. CoRR Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière, Joost van de Weijer
2025	A*	`conf`	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. ICML Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2025	J	`jnl`	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. CoRR Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2025	A*	`conf`	One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt. ICLR Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025	J	`jnl`	One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt. CoRR Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025	A*	`conf`	One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models. CVPR Senmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang
2025	J	`jnl`	One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models. CoRR Senmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang
2025	J	`jnl`	Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models. CoRR Dipam Goswami, Liying Wang, Bartlomiej Twardowski, Joost van de Weijer
2025	J	`jnl`	Replay-free Online Continual Learning with Self-Supervised MultiPatches. CoRR Giovanni A. Cignoni, Andrea Cossu, Alex Gomez-Villa, Joost van de Weijer, Antonio Carta
2025	A*	`conf`	The Art of Deception: Color Visual Illusions and Diffusion Models. CVPR Alexandra Gomez-Villa, Kai Wang, C. Alejandro Párraga, Bartlomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van de Weijer
2024	J	`jnl`	Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning. CoRR Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer
2024	—	`conf`	An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoLLAs Albin Soutif, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov
2024	J	`jnl`	An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoRR Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov
2024	J	`jnl`	Assessing Open-world Forgetting in Generative Image Model Customization. CoRR Héctor Laria Mantecon, Alex Gomez-Villa, Imad Eddine Marouf, Kai Wang, Bogdan Raducanu, Joost van de Weijer
2024	—	`conf`	Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CVPR Workshops Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CoRR Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer
2024	—	`conf`	ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement. ECCV (7) Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer
2024	J	`jnl`	ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement. CoRR Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer
2024	J	`jnl`	Conditional Diffusion Model With Spatial-Frequency Refinement for SAR-to-Optical Image Translation. IEEE Trans. Geosci. Remote. Sens. Jiang Qin, Kai Wang, Bin Zou, Lamei Zhang, Joost van de Weijer
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. CoRR Dipam Goswami, Simone Magistri, Kai Wang, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2024	A*	`conf`	Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. ICLR Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
2024	J	`jnl`	Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning. CoRR Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
2024	—	`conf`	Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion Models. ECCV (12) Claudio Rota, Marco Buzzelli, Joost van de Weijer
2024	—	`conf`	Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. ECCV (7) Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	Exemplar-free Continual Representation Learning via Learnable Drift Compensation. CoRR Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. CoRR Lu Yu, Zhe Tao, Hantao Yao, Joost van de Weijer, Changsheng Xu
2024	A*	`conf`	Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference. NeurIPS Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
2024	A*	`conf`	Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. ICLR Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
2024	J	`jnl`	Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. CoRR Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
2024	A	`conf`	IterInv: Iterative Inversion for Pixel-Level T2I Models. ICME Chuanming Tang, Kai Wang, Joost van de Weijer
2024	J	`jnl`	LocInv: Localization-aware Inversion for Text-Guided Image Editing. CoRR Chuanming Tang, Kai Wang, Fei Yang, Joost van de Weijer
2024	J	`jnl`	Main product detection with graph networks for fashion. Multim. Tools Appl. Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer
2024	J	`jnl`	MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer
2024	J	`jnl`	Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier. CoRR Kai Wang, Fei Yang, Bogdan Raducanu, Joost van de Weijer
2024	—	`conf`	NeRF-Diffusion for 3D-Consistent Face Generation and Editing. VISIGRAPP (2): VISAPP Héctor Laria Mantecon, Kai Wang, Joost van de Weijer, Bogdan Raducanu, Yaxing Wang
2024	A	`conf`	Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. WACV Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer
2024	J	`jnl`	Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
2024	A*	`conf`	Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CVPR Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CoRR Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	The Art of Deception: Color Visual Illusions and Diffusion Models. CoRR Alex Gomez-Villa, Kai Wang, C. Alejandro Párraga, Bartlomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van de Weijer
2024	—	`conf`	The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CVPR Workshops Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
2024	J	`jnl`	The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CoRR Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
2024	A*	`conf`	Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. NeurIPS Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang
2024	J	`jnl`	Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. CoRR Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang
2023	A*	`conf`	3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CVPR Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang
2023	J	`jnl`	3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CoRR Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang
2023	—	`conf`	A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
2023	J	`jnl`	A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
2023	A	`conf`	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. WACV Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
2023	A*	`conf`	Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. ICCV Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer
2023	J	`jnl`	Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. CoRR Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer
2023	J	`jnl`	Casting a BAIT for offline and online source-free domain adaptation. Comput. Vis. Image Underst. Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer
2023	J	`jnl`	Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
2023	—	`conf`	Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
2023	J	`jnl`	Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR 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
2023	—	`conf`	Density Map Distillation for Incremental Object Counting. CVPR Workshops Chenshen Wu, Joost van de Weijer
2023	J	`jnl`	Density Map Distillation for Incremental Object Counting. CoRR Chenshen Wu, Joost van de Weijer
2023	A*	`conf`	Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing. NeurIPS Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
2023	J	`jnl`	Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing. CoRR Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
2023	A*	`conf`	Endpoints Weight Fusion for Class Incremental Semantic Segmentation. CVPR Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng
2023	J	`jnl`	Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models. CoRR Claudio Rota, Marco Buzzelli, Joost van de Weijer
2023	J	`jnl`	Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking. CoRR Chuanming Tang, Kai Wang, Joost van de Weijer, Jianlin Zhang, Yongmei Huang
2023	A*	`conf`	FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. NeurIPS Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer
2023	J	`jnl`	FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. CoRR Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer
2023	J	`jnl`	Generative Multi-Label Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer
2023	A*	`conf`	ICICLE: Interpretable Class Incremental Continual Learning. ICCV Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
2023	J	`jnl`	ICICLE: Interpretable Class Incremental Continual Learning. CoRR Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
2023	—	`conf`	Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoLLAs Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
2023	J	`jnl`	Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoRR Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
2023	J	`jnl`	IterInv: Iterative Inversion for Pixel-Level T2I Models. CoRR Chuanming Tang, Kai Wang, Joost van de Weijer
2023	A*	`conf`	Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training. ICLR Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2023	J	`jnl`	Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. CoRR Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer
2023	J	`jnl`	Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
2023	—	`conf`	ScrollNet: Dynamic Weight Importance for Continual Learning. ICCV (Workshops) Fei Yang, Kai Wang, Joost van de Weijer
2023	J	`jnl`	ScrollNet: Dynamic Weight Importance for Continual Learning. CoRR Fei Yang, Kai Wang, Joost van de Weijer
2023	J	`jnl`	Self-Training for Class-Incremental Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. Lu Yu, Xialei Liu, Joost van de Weijer
2023	J	`jnl`	StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. CoRR Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
2023	J	`jnl`	Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation. CoRR Damian Sójka, Yuyang Liu, Dipam Goswami, Sebastian Cygert, Bartlomiej Twardowski, Joost van de Weijer
2023	—	`conf`	The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 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
2023	J	`jnl`	Towards Label-Efficient Incremental Learning: A Survey. CoRR Mert Kilickaya, Joost van de Weijer, Yuki M. Asano
2023	J	`jnl`	Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
2023	J	`jnl`	Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
2022	—	`conf`	Area Under the ROC Curve Maximization for Metric Learning. CVPR Workshops Bojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer, Carlo Gatta
2022	A	`conf`	Attention Distillation: self-supervised vision transformer students need more guidance. BMVC Kai Wang, Fei Yang, Joost van de Weijer
2022	J	`jnl`	Attention Distillation: self-supervised vision transformer students need more guidance. CoRR Kai Wang, Fei Yang, Joost van de Weijer
2022	A*	`conf`	Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. NeurIPS Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. CoRR Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
2022	A	`conf`	Class-Balanced Active Learning for Image Classification. WACV Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu
2022	—	`conf`	Continually Learning Self-Supervised Representations with Projected Functional Regularization. CVPR Workshops Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
2022	A*	`conf`	Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui
2022	J	`jnl`	Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers. CoRR Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer
2022	—	`conf`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2022	B	`conf`	MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation. ICIP Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang, Estíbaliz Garrote
2022	J	`jnl`	MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation. CoRR Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang, Estíbaliz Garrote
2022	J	`jnl`	Main Product Detection with Graph Networks for Fashion. CoRR Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer
2022	J	`jnl`	One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift. CoRR Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Planckian jitter: enhancing the color quality of self-supervised visual representations. CoRR Simone Zini, Marco Buzzelli, Bartlomiej Twardowski, Joost van de Weijer
2022	A	`conf`	Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
2022	—	`conf`	Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CVPR Workshops Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer
2022	J	`jnl`	Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CoRR Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer
2022	—	`conf`	Transferring Unconditional to Conditional GANs with Hyper-Modulation. CVPR Workshops Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2022	B	`conf`	Visual Transformers with Primal Object Queries for Multi-Label Image Classification. ICPR Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu
2021	J	`jnl`	ACAE-REMIND for Online Continual Learning with Compressed Feature Replay. CoRR Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	ACAE-REMIND for online continual learning with compressed feature replay. Pattern Recognit. Lett. Kai Wang, Joost van de Weijer, Luis Herranz
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR 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 Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	J	`jnl`	Class-Balanced Active Learning for Image Classification. CoRR Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu
2021	—	`conf`	Continual Learning in Cross-Modal Retrieval. CVPR Workshops Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Continual learning in cross-modal retrieval. CoRR Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
2021	J	`jnl`	Controlling biases and diversity in diverse image-to-image translation. Comput. Vis. Image Underst. Yaxing Wang, Abel Gonzalez-Garcia, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Distributed Learning and Inference With Compressed Images. IEEE Trans. Image Process. Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López
2021	A*	`conf`	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	A*	`conf`	Generalized Source-free Domain Adaptation. ICCV Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Generalized Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Generative Multi-Label Zero-Shot Learning. CoRR Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer
2021	A	`conf`	HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. BMVC Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. CoRR Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
2021	—	`conf`	Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data Domains. VISIGRAPP (4: VISAPP) Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer
2021	J	`jnl`	Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks. CoRR Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2021	J	`jnl`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2021	J	`jnl`	MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer
2021	J	`jnl`	On Implicit Attribute Localization for Generalized Zero-Shot Learning. CoRR Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	On Implicit Attribute Localization for Generalized Zero-Shot Learning. IEEE Signal Process. Lett. Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	On the importance of cross-task features for class-incremental learning. CoRR Albin Soutif-Cormerais, Marc Masana, Joost van de Weijer, Bartlomiej Twardowski
2021	—	`conf`	Reducing Label Effort: Self-Supervised meets Active Learning. ICCVW Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu
2021	J	`jnl`	Reducing Label Effort: Self-Supervised meets Active Learning. CoRR Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu
2021	J	`jnl`	Saliency for free: Saliency prediction as a side-effect of object recognition. CoRR Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu
2021	J	`jnl`	Saliency for free: Saliency prediction as a side-effect of object recognition. Pattern Recognit. Lett. Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu
2021	—	`conf`	Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning. CVPR Workshops Marc Masana, Tinne Tuytelaars, Joost van de Weijer
2021	A*	`conf`	TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. ICCV Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu
2021	J	`jnl`	TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. CoRR Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu
2021	J	`jnl`	Visual Transformers with Primal Object Queries for Multi-Label Image Classification. CoRR Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu
2021	—	`conf`	When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CAIP (1) Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer
2021	J	`jnl`	When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CoRR Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer
2020	J	`jnl`	Bookworm continual learning: beyond zero-shot learning and continual learning. CoRR Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer
2020	J	`jnl`	Class-incremental learning: survey and performance evaluation. CoRR Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
2020	A*	`conf`	DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. NeurIPS Yaxing Wang, Lu Yu, Joost van de Weijer
2020	J	`jnl`	DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. CoRR Yaxing Wang, Lu Yu, Joost van de Weijer
2020	J	`jnl`	Disentanglement of Color and Shape Representations for Continual Learning. CoRR David Berga, Marc Masana, Joost van de Weijer
2020	J	`jnl`	Distributed Learning and Inference with Compressed Images. CoRR Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López
2020	—	`conf`	Generative Feature Replay For Class-Incremental Learning. CVPR Workshops Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Generative Feature Replay For Class-Incremental Learning. CoRR Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. CoRR Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer
2020	J	`jnl`	Improved Discrete Optical Flow Estimation With Triple Image Matching Cost. IEEE Access Fei Yang, Yongmei Cheng, Joost van de Weijer, Mikhail G. Mozerov
2020	B	`conf`	Learning to Rank for Active Learning: A Listwise Approach. ICPR Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
2020	J	`jnl`	Learning to Rank for Active Learning: A Listwise Approach. CoRR Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
2020	J	`jnl`	Learning to adapt class-specific features across domains for semantic segmentation. CoRR Mikel Menta, Adriana Romero, Joost van de Weijer
2020	A*	`conf`	MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
2020	J	`jnl`	Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. Int. J. Comput. Vis. Yaxing Wang, Luis Herranz, Joost van de Weijer
2020	J	`jnl`	Object proposals for salient object segmentation in videos. Multim. Tools Appl. Rahma Kalboussi, Aymen Azaza, Joost van de Weijer, Mehrez Abdellaoui, Ali Douik
2020	J	`jnl`	On Class Orderings for Incremental Learning. CoRR Marc Masana, Bartlomiej Twardowski, Joost van de Weijer
2020	A*	`conf`	Orderless Recurrent Models for Multi-Label Classification. CVPR Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer
2020	A*	`conf`	RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. NeurIPS Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2020	J	`jnl`	RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. CoRR Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2020	J	`jnl`	Recognizing New Classes with Synthetic Data in the Loop: Application to Traffic Sign Recognition. Sensors Gabriel Villalonga, Joost van de Weijer, Antonio M. López
2020	J	`jnl`	Saliency from High-Level Semantic Image Features. SN Comput. Sci. Aymen Azaza, Joost van de Weijer, Ali Douik, Javad Zolfaghari Bengar, Marc Masana
2020	J	`jnl`	Self-Training for Class-Incremental Semantic Segmentation. CoRR Lu Yu, Xialei Liu, Joost van de Weijer
2020	A*	`conf`	Semantic Drift Compensation for Class-Incremental Learning. CVPR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Semantic Drift Compensation for Class-Incremental Learning. CoRR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	A*	`conf`	Semi-Supervised Learning for Few-Shot Image-to-Image Translation. CVPR Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
2020	J	`jnl`	Semi-supervised Learning for Few-shot Image-to-Image Translation. CoRR Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
2020	J	`jnl`	Simple and effective localized attribute representations for zero-shot learning. CoRR Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
2020	J	`jnl`	Ternary Feature Masks: continual learning without any forgetting. CoRR Marc Masana, Tinne Tuytelaars, Joost van de Weijer
2020	J	`jnl`	Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2020	J	`jnl`	Variable Rate Deep Image Compression With Modulated Autoencoder. IEEE Signal Process. Lett. Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov
2019	A*	`conf`	Active Learning for Deep Detection Neural Networks. ICCV Hamed H. Aghdam, Abel Gonzalez-Garcia, Antonio M. López, Joost van de Weijer
2019	J	`jnl`	Active Learning for Deep Detection Neural Networks. CoRR Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López
2019	J	`jnl`	Controlling biases and diversity in diverse image-to-image translation. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
2019	J	`jnl`	Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2019	J	`jnl`	Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2019	A*	`conf`	Learning Metrics From Teachers: Compact Networks for Image Embedding. CVPR Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
2019	J	`jnl`	Learning Metrics from Teachers: Compact Networks for Image Embedding. CoRR Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
2019	A*	`conf`	Learning the Model Update for Siamese Trackers. ICCV Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan
2019	J	`jnl`	Learning the Model Update for Siamese Trackers. CoRR Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan
2019	J	`jnl`	MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
2019	J	`jnl`	Mix and match networks: multi-domain alignment for unpaired image-to-image translation. CoRR Yaxing Wang, Luis Herranz, Joost van de Weijer
2019	—	`conf`	Multi-Modal Fusion for End-to-End RGB-T Tracking. ICCV Workshops Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
2019	J	`jnl`	Multi-Modal Fusion for End-to-End RGB-T Tracking. CoRR Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
2019	J	`jnl`	One-View Occlusion Detection for Stereo Matching With a Fully Connected CRF Model. IEEE Trans. Image Process. Mikhail G. Mozerov, Joost van de Weijer
2019	J	`jnl`	One-view occlusion detection for stereo matching with a fully connected CRF model. CoRR Mikhail G. Mozerov, Joost van de Weijer
2019	J	`jnl`	Orderless Recurrent Models for Multi-label Classification. CoRR Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer
2019	A*	`conf`	SDIT: Scalable and Diverse Cross-domain Image Translation. ACM Multimedia Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
2019	J	`jnl`	SDIT: Scalable and Diverse Cross-domain Image Translation. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
2019	J	`jnl`	Saliency for fine-grained object recognition in domains with scarce training data. Pattern Recognit. Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu
2019	J	`jnl`	Self-supervised blur detection from synthetically blurred scenes. CoRR Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer
2019	J	`jnl`	Self-supervised blur detection from synthetically blurred scenes. Image Vis. Comput. Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer
2019	J	`jnl`	Sparse Data Interpolation Using the Geodesic Distance Affinity Space. IEEE Signal Process. Lett. Mikhail G. Mozerov, Fei Yang, Joost van de Weijer
2019	J	`jnl`	Sparse data interpolation using the geodesic distance affinity space. CoRR Mikhail G. Mozerov, Fei Yang, Joost van de Weijer
2019	J	`jnl`	Synthetic Data Generation for End-to-End Thermal Infrared Tracking. IEEE Trans. Image Process. Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan
2019	—	`conf`	Temporal Coherence for Active Learning in Videos. ICCV Workshops Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer
2019	J	`jnl`	Temporal Coherence for Active Learning in Videos. CoRR Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer
2019	—	`conf`	The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 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
2019	J	`jnl`	Variable Rate Deep Image Compression with Modulated Autoencoder. CoRR Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov
2018	J	`jnl`	Beyond Eleven Color Names for Image Understanding. Mach. Vis. Appl. Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Shahbaz Khan, Yongmei Cheng, C. Alejandro Párraga
2018	—	`conf`	Color Naming for Multi-color Fashion Items. WorldCIST (3) Vacit Oguz Yazici, Joost van de Weijer, Arnau Ramisa
2018	J	`jnl`	Context Proposals for Saliency Detection. CoRR Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana
2018	J	`jnl`	Context proposals for saliency detection. Comput. Vis. Image Underst. Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana
2018	J	`jnl`	Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections. CoRR Rada Deeb, Joost van de Weijer, Damien Muselet, Mathieu Hébert, Alain Trémeau
2018	A*	`conf`	Image-to-image translation for cross-domain disentanglement. NeurIPS Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio
2018	J	`jnl`	Image-to-image translation for cross-domain disentanglement. CoRR Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio
2018	—	`conf`	LIUM-CVC Submissions for WMT18 Multimodal Translation Task. WMT (shared task) Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer
2018	J	`jnl`	LIUM-CVC Submissions for WMT18 Multimodal Translation Task. CoRR Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer
2018	B	`conf`	Learning Illuminant Estimation from Object Recognition. ICIP Marco Buzzelli, Joost van de Weijer, Raimondo Schettini
2018	J	`jnl`	Learning Illuminant Estimation from Object Recognition. CoRR Marco Buzzelli, Joost van de Weijer, Raimondo Schettini
2018	A*	`conf`	Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2018	J	`jnl`	Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2018	A*	`conf`	Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2018	J	`jnl`	Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2018	A	`conf`	Metric Learning for Novelty and Anomaly Detection. BMVC Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López
2018	J	`jnl`	Metric Learning for Novelty and Anomaly Detection. CoRR Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López
2018	A*	`conf`	Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. CVPR Yaxing Wang, Joost van de Weijer, Luis Herranz
2018	J	`jnl`	Mix and match networks: encoder-decoder alignment for zero-pair image translation. CoRR Yaxing Wang, Joost van de Weijer, Luis Herranz
2018	J	`jnl`	Review on computer vision techniques in emergency situations. Multim. Tools Appl. Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
2018	B	`conf`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data. CoRR Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu
2018	J	`jnl`	Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
2018	J	`jnl`	Synthetic data generation for end-to-end thermal infrared tracking. CoRR Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan
2018	—	`conf`	The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 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
2018	—	`conf`	Transferring GANs: Generating Images from Limited Data. ECCV (6) Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu
2018	J	`jnl`	Transferring GANs: generating images from limited data. CoRR Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu
2018	B	`conf`	Weakly Supervised Domain-Specific Color Naming Based on Attention. ICPR Lu Yu, Yongmei Cheng, Joost van de Weijer
2018	J	`jnl`	Weakly Supervised Domain-Specific Color Naming Based on Attention. CoRR Lu Yu, Yongmei Cheng, Joost van de Weijer
2017	A	`conf`	3D color charts for camera spectral sensitivity estimation. BMVC Rada Deeb, Damien Muselet, Mathieu Hébert, Alain Trémeau, Joost van de Weijer
2017	—	`conf`	Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. ICCV Workshops Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote
2017	J	`jnl`	Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. CoRR Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote
2017	A	`conf`	Bandwidth Limited Object Recognition in High Resolution Imagery. WACV Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen
2017	J	`jnl`	Bandwidth limited object recognition in high resolution imagery. CoRR Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen
2017	J	`jnl`	Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. CoRR Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen
2017	A*	`conf`	Domain-Adaptive Deep Network Compression. ICCV Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017	J	`jnl`	Domain-adaptive deep network compression. CoRR Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017	J	`jnl`	Improved Recursive Geodesic Distance Computation for Edge Preserving Filter. IEEE Trans. Image Process. Mikhail G. Mozerov, Joost van de Weijer
2017	—	`conf`	LIUM-CVC Submissions for WMT17 Multimodal Translation Task. WMT Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer
2017	J	`jnl`	LIUM-CVC Submissions for WMT17 Multimodal Translation Task. CoRR Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer
2017	—	`conf`	Multi-modal Deep Learning Approach for Flood Detection. MediaEval Laura Lopez-Fuentes, Joost van de Weijer, Marc Bolaños, Harald Skinnemoen
2017	A*	`conf`	RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2017	J	`jnl`	RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2017	J	`jnl`	Review on Computer Vision Techniques in Emergency Situation. CoRR Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
2017	B	`conf`	TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. ICMR Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
2017	—	`conf`	Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
2016	B	`conf`	Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. ICMR Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
2016	—	`conf`	Does Multimodality Help Human and Machine for Translation and Image Captioning? WMT Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer
2016	J	`jnl`	Does Multimodality Help Human and Machine for Translation and Image Captioning? CoRR Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer
2016	J	`jnl`	Ensembles of Generative Adversarial Networks. CoRR Yaxing Wang, Lichao Zhang, Joost van de Weijer
2016	B	`conf`	Hierarchical part detection with deep neural networks. ICIP Esteve Cervantes, Longlong Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer
2016	J	`jnl`	Invertible Conditional GANs for image editing. CoRR Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, José M. Álvarez
2016	J	`jnl`	On-the-fly Network Pruning for Object Detection. CoRR Marc Masana, Joost van de Weijer, Andrew D. Bagdanov
2016	J	`jnl`	Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
2016	J	`jnl`	Special Section Guest Editorial: Color in Texture and Material Recognition. J. Electronic Imaging Raimondo Schettini, Joost van de Weijer, Claudio Cusano, Paolo Napoletano
2015	J	`jnl`	Accurate Stereo Matching by Two-Step Energy Minimization. IEEE Trans. Image Process. Mikhail G. Mozerov, Joost van de Weijer
2015	—	`conf`	An Overview of Color Name Applications in Computer Vision. CCIW Joost van de Weijer, Fahad Shahbaz Khan
2015	J	`jnl`	Compact color-texture description for texture classification. Pattern Recognit. Lett. Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
2015	—	`conf`	Deep Semantic Pyramids for Human Attributes and Action Recognition. SCIA Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
2015	A*	`conf`	From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning. ICCV Adria Ruiz, Joost van de Weijer, Xavier Binefa
2015	J	`jnl`	Global Color Sparseness and a Local Statistics Prior for Fast Bilateral Filtering. IEEE Trans. Image Process. Mikhail G. Mozerov, Joost van de Weijer
2015	J	`jnl`	Recognizing Actions Through Action-Specific Person Detection. IEEE Trans. Image Process. Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López
2014	A*	`conf`	Adaptive Color Attributes for Real-Time Visual Tracking. CVPR Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer
2014	J	`jnl`	Multi-Illuminant Estimation With Conditional Random Fields. IEEE Trans. Image Process. Shida Beigpour, Christian Riess, Joost van de Weijer, Elli Angelopoulou
2014	J	`jnl`	Painting-91: a large scale database for computational painting categorization. Mach. Vis. Appl. Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer, Michael Felsberg
2014	A	`conf`	Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization. BMVC Adria Ruiz, Joost van de Weijer, Xavier Binefa
2014	B	`conf`	Scale Coding Bag-of-Words for Action Recognition. ICPR Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg
2014	J	`jnl`	Semantic Pyramids for Gender and Action Recognition. IEEE Trans. Image Process. Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta
2014	—	`conf`	The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 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
2014	—	`conf`	Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks. CVPR Workshops Carlo Gatta, Adriana Romero, Joost van de Weijer
2013	A	`conf`	An Active Contour Model for Speech Balloon Detection in Comics. ICDAR Christophe Rigaud, Jean-Christophe Burie, Jean-Marc Ogier, Dimosthenis Karatzas, Joost van de Weijer
2013	—	`conf`	Automatic Text Localisation in Scanned Comic Books. VISAPP (1) Christophe Rigaud, Dimosthenis Karatzas, Joost van de Weijer, Jean-Christophe Burie, Jean-Marc Ogier
2013	J	`jnl`	Coloring Action Recognition in Still Images. Int. J. Comput. Vis. Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg
2013	A*	`conf`	Discriminative Color Descriptors. CVPR Rahat Khan, Joost van de Weijer, Fahad Shahbaz Khan, Damien Muselet, Christophe Ducottet, Cécile Barat
2013	—	`conf`	Evaluating the Impact of Color on Texture Recognition. CAIP (1) Fahad Shahbaz Khan, Joost van de Weijer, Sadiq Ali, Michael Felsberg
2013	—	`conf`	Fusing Color and Shape for Bag-of-Words Based Object Recognition. CCIW Joost van de Weijer, Fahad Shahbaz Khan
2013	—	`ch.`	Interactive Visual and Semantic Image Retrieval. Multimodal Interaction in Image and Video Applications Joost van de Weijer, Fahad Shahbaz Khan, Marc Masana
2013	B	`conf`	Intrinsic image evaluation on synthetic complex scenes. ICIP Shida Beigpour, Marc Serra, Joost van de Weijer, Robert Benavente, María Vanrell, Olivier Penacchio, Dimitris Samaras
2013	B	`conf`	Towards multispectral data acquisition with hand-held devices. ICIP Rahat Khan, Joost van de Weijer, Dimosthenis Karatzas, Damien Muselet
2012	A*	`conf`	Color attributes for object detection. CVPR Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López
2012	J	`jnl`	Discriminative compact pyramids for object and scene recognition. Pattern Recognit. Noha M. Elfiky, Fahad Shahbaz Khan, Joost van de Weijer, Jordi Gonzàlez
2012	J	`jnl`	Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation. Int. J. Comput. Vis. Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez
2012	J	`jnl`	Improving Color Constancy by Photometric Edge Weighting. IEEE Trans. Pattern Anal. Mach. Intell. Arjan Gijsenij, Theo Gevers, Joost van de Weijer
2012	J	`jnl`	Modulating Shape Features by Color Attention for Object Recognition. Int. J. Comput. Vis. Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell
2011	J	`jnl`	Computational Color Constancy: Survey and Experiments. IEEE Trans. Image Process. Arjan Gijsenij, Theo Gevers, Joost van de Weijer
2011	J	`jnl`	Describing Reflectances for Color Segmentation Robust to Shadows, Highlights, and Textures. IEEE Trans. Pattern Anal. Mach. Intell. Eduard Vazquez, Ramon Baldrich, Joost van de Weijer, María Vanrell
2011	A*	`conf`	Object recoloring based on intrinsic image estimation. ICCV Shida Beigpour, Joost van de Weijer
2011	—	`conf`	Portmanteau Vocabularies for Multi-Cue Image Representation. NIPS Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell
2011	—	`conf`	The Dichromatic Reflection Model - Future Research Directions and Applications. VISAPP Joost van de Weijer, Shida Beigpour
2010	—	`conf`	Color Edge Saliency Boosting using Natural Image Statistics. CGIV/MCS David Augusto Rojas Vigo, Joost van de Weijer, Theo Gevers
2010	J	`jnl`	Generalized Gamut Mapping using Image Derivative Structures for Color Constancy. Int. J. Comput. Vis. Arjan Gijsenij, Theo Gevers, Joost van de Weijer
2010	A*	`conf`	Harmony potentials for joint classification and segmentation. CVPR Josep M. Gonfaus, Xavier Boix Bosch, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez
2010	B	`conf`	The Impact of Color on Bag-of-Words Based Object Recognition. ICPR David Augusto Rojas Vigo, Fahad Shahbaz Khan, Joost van de Weijer, Theo Gevers
2009	J	`jnl`	Learning Color Names for Real-World Applications. IEEE Trans. Image Process. Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, Diane Larlus
2009	A*	`conf`	Physics-based edge evaluation for improved color constancy. CVPR Arjan Gijsenij, Theo Gevers, Joost van de Weijer
2009	A*	`conf`	Top-down color attention for object recognition. ICCV Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell
2008	—	`conf`	Edge Classification for Color Constancy. CGIV/MCS Arjan Gijsenij, Theo Gevers, Joost van de Weijer
2008	—	`conf`	Image Segmentation in the Presence of Shadows and Highlights. ECCV (4) Eduard Vazquez, Joost van de Weijer, Ramon Baldrich
2007	—	`conf`	Applying Color Names to Image Description. ICIP (3) Joost van de Weijer, Cordelia Schmid
2007	J	`jnl`	Edge-Based Color Constancy. IEEE Trans. Image Process. Joost van de Weijer, Theo Gevers, Arjan Gijsenij
2007	A*	`conf`	Learning Color Names from Real-World Images. CVPR Joost van de Weijer, Cordelia Schmid, Jakob Verbeek
2007	A*	`conf`	Using High-Level Visual Information for Color Constancy. ICCV Joost van de Weijer, Cordelia Schmid, Jakob Verbeek
2006	—	`ch.`	Adaptive Structure Tensors and their Applications. Visualization and Processing of Tensor Fields Thomas Brox, Rein van den Boomgaard, François Lauze, Joost van de Weijer, Joachim Weickert, Pavel Mrázek, Pierre Kornprobst
2006	—	`conf`	Articulated-Body Tracking Through Anisotropic Edge Detection. WDV David Knossow, Joost van de Weijer, Radu Horaud, Rémi Ronfard
2006	B	`conf`	Blur Robust and Color Constant Image Description. ICIP Joost van de Weijer, Cordelia Schmid
2006	J	`jnl`	Boosting Color Saliency in Image Feature Detection. IEEE Trans. Pattern Anal. Mach. Intell. Joost van de Weijer, Theo Gevers, Andrew D. Bagdanov
2006	—	`conf`	Coloring Local Feature Extraction. ECCV (2) Joost van de Weijer, Cordelia Schmid
2006	—	`conf`	Corner Detectors for Affine Invariant Salient Regions: Is Color Important?. CIVR Nicu Sebe, Theo Gevers, Joost van de Weijer, Sietse Dijkstra
2006	—	`conf`	Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions. CVPR Workshops Nicu Sebe, Theo Gevers, Sietse Dijkstra, Joost van de Weijer
2006	J	`jnl`	Robust photometric invariant features from the color tensor. IEEE Trans. Image Process. Joost van de Weijer, Theo Gevers, Arnold W. M. Smeulders
2005	—	`conf`	Boosting Saliency in Color Image Features. CVPR (1) Joost van de Weijer, Theo Gevers
2005	—	`conf`	Color constancy based on the Grey-edge hypothesis. ICIP (2) Joost van de Weijer, Theo Gevers
2005	J	`jnl`	Edge and Corner Detection by Photometric Quasi-Invariants. IEEE Trans. Pattern Anal. Mach. Intell. Joost van de Weijer, Theo Gevers, Jan-Mark Geusebroek
2005	J	`jnl`	Least Squares and Robust Estimation of Local Image Structure. Int. J. Comput. Vis. Joost van de Weijer, Rein van den Boomgaard
2004	B	`conf`	Robust optical flow from photometric invariants. ICIP Joost van de Weijer, Theo Gevers
2004	—	`conf`	Tensor Based Feature Detection for Color Images. CIC Joost van de Weijer, Theo Gevers
2003	A*	`conf`	Color Edge Detection by Photometric Quasi-Invariants. ICCV Joost van de Weijer, Theo Gevers, Jan-Mark Geusebroek
2003	J	`jnl`	Fast anisotropic Gauss filtering. IEEE Trans. Image Process. Jan-Mark Geusebroek, Arnold W. M. Smeulders, Joost van de Weijer
2003	—	`conf`	Least Squares and Robust Estimation of Local Image Structure. Scale-Space Rein van den Boomgaard, Joost van de Weijer
2002	—	`conf`	Fast Anisotropic Gauss Filtering. ECCV (1) Jan-Mark Geusebroek, Arnold W. M. Smeulders, Joost van de Weijer
2002	—	`conf`	On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks. ICPR (3) Rein van den Boomgaard, Joost van de Weijer
2001	—	`conf`	Color mode filtering. ICIP (1) Joost van de Weijer, Theo Gevers
2001	J	`jnl`	Curvature Estimation in Oriented Patterns Using Curvilinear Models Applied to Gradient Vector Fields. IEEE Trans. Pattern Anal. Mach. Intell. Joost van de Weijer, Lucas J. van Vliet, Piet W. Verbeek, Michael van Ginkel
2001	—	`conf`	Local Mode Filtering. CVPR (2) Joost van de Weijer, Rein van den Boomgaard
2000	—	`conf`	Color constant texture segmentation and retrieval. Human Vision and Electronic Imaging Theo Gevers, Peter Vreman, Joost van de Weijer
2000	A	`conf`	Colour Constancy from Hyper-Spectral Data. BMVC Theo Gevers, Harro M. G. Stokman, Joost van de Weijer
1998	B	`conf`	Improved curvature and anisotropy estimation for curved line bundles. ICPR Piet W. Verbeek, Lucas J. van Vliet, Joost van de Weijer