conftrace_

Joost van de Weijer

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

Achievements

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+12 more ↓ 🏃 Academic Marathon (13) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (13) 🤝 Dynamic Duo (18) 🔬 Deep Specialist (11) 🏆 Keyword Champion (5) 🗃️ Keyword Collector (145) 📈 Trend Setter 🚀 Conference Pioneer Prolific Year (9) 🔥 Unstoppable (10) 💎 Century Club (51)

Conferences

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

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