← Authors

Joost van de Weijer

51 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (72) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) 🀝 Dynamic Duo (18) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (5) πŸ—ƒοΈ Keyword Collector (145) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (51)

Conferences

CVPR (13) ICCV (10) NIPS (10) ICLR (6) WACV (5) ECCV (4) ICML (2) EMNLP (1)

Top co-authors

yaxing wang (18) Kai Wang (13) Fahad Shahbaz Khan (11) Luis Herranz (9) Shiqi Yang (8) Xialei Liu (7) Jian Yang (7) Abel Gonzalez-Garcia (7) Andrew D. Bagdanov (7) Bogdan Raducanu (6)

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