- Continuous Memory Representation for Anomaly Detection, ECCV 2024 [slide][paper]
- Active token mixer, AAAI 2023 [slide][paper]
- AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization, T-ASE 2024 [slide][paper]
- CVPR 2024 virtual attendance [slide]
- Generative Unlearning for Any Identity, CVPR 2024 [slide][paper]
- EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies, WACV 2024 [slide][paper]
- Reconstruction by inpainting for visual anomaly detection, Pattern Recognition 2021 [slide][paper]
- DRAEM-a discriminatively trained reconstruction embedding for surface anomaly detection, ICCV 2021 [slide][paper]
- CVPR 2023 virtual attendance [slide]
- SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection, CVPR 2023 [slide][paper]
- Emerging properties in self-supervised vision transformers, ICCV 2021 [slide][paper]
- Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation, WACV 2024 [slide][paper]
- Learning loss for active learning, CVPR 2019 [slide][paper]
- Transformer Applications in ICCV 2021 [slide]
- Im2Vec: Synthesizing Vector Graphics without Vector Supervision, CVPR 2021 [slide][paper]
- MLP-Mixer: An all-MLP Architecture for Vision, NeurIPS 2021 [slide][paper]
- CVPR 2022 virtual attendance [slide]
- Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection, CVPR 2022 [slide][paper]
- Old Photo Restoration via Deep Latent Space Translation, T-PAMI 2022 [slide][paper]
- Visualizing the Loss Landscape of Neural Nets, NeurIPS 2018 [slide][paper]
- Palette: Image-to-Image Diffusion Models, SIGGRAPH 2022 [slide][paper]