Joost van de Weijer
51 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
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Renaissance Researcher
(7)
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Conference Polyglot
(8)
🏃
Academic Marathon
(13)
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Dynamic Duo
(18)
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Deep Specialist
(11)
🏆
Keyword Champion
(5)
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Keyword Collector
(145)
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Trend Setter
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Conference Pioneer
⚡
Prolific Year
(9)
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Unstoppable
(10)
💎
Century Club
(51)
Conferences
CVPR (13)
ICCV (10)
NIPS (10)
ICLR (6)
WACV (5)
ECCV (4)
ICML (2)
EMNLP (1)
Top co-authors
Keywords
continual learning
(9)
catastrophic forgetting
(7)
knowledge distillation
(6)
generative adversarial network
(5)
image-to-image translation
(5)
transfer learning
(4)
image generation
(4)
diffusion model
(4)
class-incremental learning
(3)
source-free domain adaptation
(3)
image translation
(3)
exemplar-free learning
(3)
few-shot learning
(3)
domain adaptation
(3)
semi-supervised learning
(2)
representation learning
(2)
semantic segmentation
(2)
multimodal learning
(2)
active learning
(2)
attention mechanism
(2)
Papers
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
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
ICLR 2025
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
ICML 2025
Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering
ICCV 2025
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
WACV 2025
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
ICML 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
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
ECCV 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
CVPR 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
WACV 2024
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
NIPS 2024
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
NIPS 2024
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
ICLR 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
Endpoints Weight Fusion for Class Incremental Semantic Segmentation
CVPR 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
NIPS 2023
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
NIPS 2023
3D-Aware Multi-Class Image-to-Image Translation With NeRFs
CVPR 2023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
ICCV 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
Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
WACV 2023
Class-Balanced Active Learning for Image Classification
WACV 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
NIPS 2022
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
ICLR 2022
Generalized Source-Free Domain Adaptation
ICCV 2021
TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets
ICCV 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NIPS 2021
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
CVPR 2020
Semi-Supervised Learning for Few-Shot Image-to-Image Translation
CVPR 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
NIPS 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
NIPS 2020
Orderless Recurrent Models for Multi-Label Classification
CVPR 2020
Semantic Drift Compensation for Class-Incremental Learning
CVPR 2020
Learning Metrics From Teachers: Compact Networks for Image Embedding
CVPR 2019
Active Learning for Deep Detection Neural Networks
ICCV 2019
Learning the Model Update for Siamese Trackers
ICCV 2019
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
CVPR 2018
Memory Replay GANs: Learning to Generate New Categories without Forgetting
NIPS 2018
Transferring GANs: generating images from limited data
ECCV 2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
CVPR 2018
LIUM-CVC Submissions for WMT18 Multimodal Translation Task
EMNLP 2018
Image-to-image translation for cross-domain disentanglement
NIPS 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