| Schedule |
| Wednesday, March 12 | | Location |
| 9.45 - 10.00 | Student Registration | RPL |
| 10.00 - 12.00 | PhD students morning | RPL |
| 11.30 - 17.00 | Registration | Nymble |
| 12.00 - 13.00 | Lunch | Nymble |
| 13.15 - 13.30 | Welcome and opening | Nya Matsalen |
| 13.30 - 14.30 | Keynote: Paolo Favaro Chair: Atsuto Maki | Advancing Autonomous Learning: Models that Learn, Adapt, and Predict from Real Data | Nya Matsalen |
| 14.30 - 14.55 | Oral presentation Chair: Atsuto Maki | • 14.30 - 14.55: Robust Camera Motion from Motion Blur | Nya Matsalen |
| 14.55 - 15.10 | Coffee break | Nymble |
| 15.10 - 16.50 | Oral presentations Chair: Amanda Berg | • 15.10 - 15.35: TetraSphere • 15.35 - 16.00: Flopping for FLOPs Leveraging equivariance for computational efficiency • 16.00 - 16.25: SPL-BEV: Soccer Player Localization and Birds-Eye-View estimation
• 16.25 - 16.50: Multimodal Analysis of Fragmentary Ancient Egyptian Papyri with Disentangled Features | Nya Matsalen |
| 17.00 - 18.00 | Reception | Secret location |
| Thursday, March 13 | |
| 9.00 - 10.40 | Industry presentations Chair: Mårten Wadenbäck | • 9.00 - 9.20: Univrses • 9.20 - 9.40: ContextVision • 9.40 - 10.00: Visual Sweden • 10.00 - 10.20: Savantic • 10.20 - 10.40: Maxar | Nya Matsalen |
| 10.40 - 10.55 | Coffee break | Nymble |
| 10.55 - 12.10 | Oral presentations Chair: Pavlo Melnyk | • 10.55 - 11.20: Applying Center Loss to Neural Networks for Sequence Prediction: A Study for Handwriting Recognition • 11.20 - 11.45: A Study of Handwritten Text Recognition with Cross out Words
• 11.45 - 12.10: Watch and Act - Multi-orientation Open-set Scene Text Recognition via Dynamic Expert Routing | Nya Matsalen |
| 12.10 - 13.10 | Lunch | Nymble |
| 13.10 - 14.10 | Keynote: Toshihiko Yamasaki Chair: Atsuto Maki | Deepfake: The Light and Shadow of Generative AIs | Nya Matsalen |
| 14.10 - 15.00 | Oral presentations Chair: Matteo Gamba | • 14.10 - 14.35: Comparing Satellite Data for Next-Day Wildfire • 14.35 - 15.00: Energy-guided Decoding for Object Hallucination Mitigation | Nya Matsalen |
| 15.00 - 15.15 | Coffee break | Nymble |
| 15.15 - 15.40 | Oral presentation Chair: Matteo Gamba | • 15.15 - 15.40: TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection | Nya Matsalen |
| 15.40 - 16.00 | Poster pitches Chair: Mårten Björkman | Nya Matsalen |
| 16.00 - 17.00 | Poster session | • Physics-informed deep learning for predicting the arterial input function in dynamic PET imaging
• The Impact of Data Pre-Processing on Multi-Modal Deep Learning in Spatial Transcriptomics • Handwritten Text Recognition for Historical Writings with Rare and Unknown Scripts: The DESCRYPT Project • Individually Fair Representation Learning for DINOv2
• Towards Controllable Image Generation through Representation-Conditioned Diffusion Models | Hyllan |
| 17.00 - 18.00 | SSBA annual meeting | Nya Matsalen |
| 19.00 - | Dinner | Syster O Bror |
| Friday, March 14 | |
| 9.00 - 10.40 | Oral presentations Chair: Victor Wåhlstrand | • 9.00 - 9.25: Semantic Labeling of Persons in Point Clouds for Long Range Applications • 9.25 - 9.50: Reconstruction of Ultrasound-Speed Maps with a Learned Imaging Model
• 9.50 - 10.15: Global Tissue Speed-of-Sound via Comparative and Absolute Image Metrics in Ultrasound • 10.15 - 10.40: Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging | Nya Matsalen |
| 10.40 - 10.55 | Coffee break | Nymble |
| 10.55 - 11.55 | Keynote: Carolina Wählby Chair: Mårten Björkman | Functional pathology – the power of combining image analysis and biochemistry to understand disease | Nya Matsalen |
| 11.55 - 12.20 | Oral presentation Chair: Mårten Björkman | • 11.55 - 12.20: Find ’em all Evaluating Deep Learning-based Cell Detection Methods | Nya Matsalen |
| 12.20 - 13.20 | Lunch | Nymble |
| 13.20 - 14.35 | Oral presentations Chair: Elisa Barney Smith | • 13.20 - 13.45: Early Fusion of H&E and IHC Histology Images for Pediatric Brain Tumor Classification
• 13.45 - 14.10: Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification • 14.10 - 14.35: Bacterial species identification using deep learning-based image- and video classification of phase-contrast microscopy time-lapse videos | Nya Matsalen |
| 14.35 - 14.40 | Closing | Nya Matsalen |