Joost van de Weijer
53 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (70) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(12)
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Dynamic Duo
(18)
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Topic Evolution
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Keyword Champion
(6)
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Silver
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Prolific Year Β· Productive
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Keyword Collector
(177)
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Renaissance Researcher
(5)
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Century Club Β· Silver
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(38)
Deep Learning
(26)
Learning Types Β· Machine Learning
(25)
Computer Vision
(23)
Artificial Intelligence
(18)
Core Methods
(14)
Models
(14)
Application Areas
(13)
Learning Types Β· Deep Learning
(13)
Core AI
(12)
Generation
(11)
Analysis
(8)
Learning Paradigms
(6)
Techniques
(5)
Natural Language Processing
(3)
Keywords
continual learning
(11)
catastrophic forgetting
(8)
knowledge distillation
(7)
image generation
(6)
image-to-image translation
(6)
diffusion model
(6)
generative adversarial network
(5)
class-incremental learning
(5)
exemplar-free learning
(4)
transfer learning
(4)
text-to-image generation
(4)
source-free domain adaptation
(3)
cross-attention mechanism
(3)
few-shot learning
(3)
domain adaptation
(3)
image translation
(3)
image retrieval
(3)
data augmentation
(2)
representation learning
(2)
semantic segmentation
(2)
Papers
GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation
CVPR 2026
IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
CVPR 2026
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
WACV 2026
$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
ICLR 2025
Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering
ICCV 2025
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
ICML 2025
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
WACV 2025
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
ICML 2025
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
ICLR 2025
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models
CVPR 2025
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
ECCV 2024
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
ICLR 2024
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
ECCV 2024
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
ECCV 2024
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
NeurIPS 2024
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
ICLR 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
WACV 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
CVPR 2024
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
NeurIPS 2024
3D-Aware Multi-Class Image-to-Image Translation With NeRFs
CVPR 2023
Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
WACV 2023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
ICCV 2023
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
NeurIPS 2023
Endpoints Weight Fusion for Class Incremental Semantic Segmentation
CVPR 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
NeurIPS 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICCV 2023
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
ICLR 2023
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
NeurIPS 2022
Class-Balanced Active Learning for Image Classification
WACV 2022
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
ICLR 2022
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NeurIPS 2021
Generalized Source-Free Domain Adaptation
ICCV 2021
TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets
ICCV 2021
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
NeurIPS 2020
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
CVPR 2020
Orderless Recurrent Models for Multi-Label Classification
CVPR 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
NeurIPS 2020
Semantic Drift Compensation for Class-Incremental Learning
CVPR 2020
Semi-Supervised Learning for Few-Shot Image-to-Image Translation
CVPR 2020
Active Learning for Deep Detection Neural Networks
ICCV 2019
Learning Metrics From Teachers: Compact Networks for Image Embedding
CVPR 2019
Learning the Model Update for Siamese Trackers
ICCV 2019
Image-to-image translation for cross-domain disentanglement
NeurIPS 2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
CVPR 2018
LIUM-CVC Submissions for WMT18 Multimodal Translation Task
EMNLP 2018
Memory Replay GANs: Learning to Generate New Categories without Forgetting
NeurIPS 2018
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
CVPR 2018
Transferring GANs: generating images from limited data
ECCV 2018
Domain-Adaptive Deep Network Compression
ICCV 2017
RankIQA: Learning From Rankings for No-Reference Image Quality Assessment
ICCV 2017
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning
ICCV 2015
Adaptive Color Attributes for Real-Time Visual Tracking
CVPR 2014
Discriminative Color Descriptors
CVPR 2013