News

CVPR 2027 — Area Chair

WACV 2027 — Beyond the Generative Trilemma: Bias Amplification in Diffusion-GAN Hybrids

WACV 2027 — PACER: Curriculum Self-Training with Spatial Uncertainty for Pseudo-Label Selection in Few-Shot Anatomical Landmark Detection

NeurIPS 2026 — Top Area Chair

ECCV 2026 — Co-organising the 3rd FAILED workshopFairness and ethics towards transparent AI — model debiasing. Malmö, Sweden.

ICPR 2026 — CutClean: Neural Network Pruning for Privacy-Preserving Inference

ECCV 2026 — AracNet: Revealing Debiasing Signals across Layers with Shallow Monitors

TMLR 2026 — VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation

ICML 2026 — Distribution Alignment for One-Shot Federated Learning via Optimal Transport

MICCAI 2026 — CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark DetectionEarly accept.

ISBI 2026 — Co-organised a special session on safety and reliability in medical imagingLondon, United Kingdom.

NeurIPS 2026 — Area Chair

CVPR 2026 — If you can describe it, they can see it: Cross-Modal Learning of Visual Concepts from Textual DescriptionsFindings track.

CVPR 2026 — Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models

ICML 2026 — Area Chair

WACV 2026 — Lose Your Self (LoYS): An Adversarial Entropy-Based Unsupervised Approach for Model Debiasing

WACV 2026 — How I Met Your Bias: Investigating Bias Amplification in Diffusion Models

ICCV 2025 — Co-organised the 2nd FAILED workshopFairness and ethics towards transparent AI — model debiasing. Honolulu, Hawaii, USA.

ICIAP 2025 — Co-organised the tutorial “A journey through model debiasing”

NeurIPS 2025 — Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing

ICML 2025 — Top Area Chair

CVPR 2025 — Outstanding Reviewer

TMLR 2025 — Say My Name: A Model's Bias Discovery Framework

ICML 2025 — Area Chair

WACV 2025 — Looking at Model Debiasing through the Lens of Anomaly Detection

WACV 2025 — Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images

MICCAI 2024 — Honorable mention, reviewing

ECCV 2024 — Co-organised the 1st FAILED workshopFairness and ethics towards transparent AI — model debiasing. Milan, Italy.