Program overview
Sunday 22 June |
Monday 23 June |
Tuesday 24 June |
Wednesday 25 June |
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9:00 | Conference opening | IAPR KEYNOTE: Opportunities in Egocentric Video Understanding, Dima Damen |
ORAL SESSION C: Machine Learning and Deep Learning |
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KEYNOTE: Deep Shape Design, Pascal Fua | ||||
Speed talks (posters 3) | ||||
Break | Break | Break | ||
10:30 |
ORAL SESSION A: 2D/3D Perception & Explainable AI |
POSTER SESSION 3 |
ORAL SESSION D: Medical Imaging & Datasets |
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Invited talk | Break | Invited talk | ||
12:00 |
QIM workshop
Until 17:00
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Lunch |
Excursion and conference dinner
Expected return to Reykjavík 22:00
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Lunch |
13:00 |
ORAL SESSION B: Vision for Robotics & Applications |
Speed talks (posters 4&5) | ||
POSTER SESSION 4 | ||||
Speed talks (posters 1&2) | ||||
Break | Break | |||
15:00 | POSTER SESSION 1 | POSTER SESSION 5 | ||
Break | ||||
16:30 | POSTER SESSION 2 | |||
19:00 |
Welcome reception
Until 21:00
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Program details
Keynote talks
- Deep Shape Design.
Pascal Fua (EPFL).
Summary: We live in a world full of manufactured objects of ever-increasing complexity that require clever engineering to be functional. Today, individual parts that composite objects are made of are optimized separately, control is not fully accounted for at design time, and much manual tinkering is required. As a result, our machines are not as efficient as they could be.
We aim to change this by developing end-to-end trainable pipelines that incorporate all these elements. In this talk I will present the approach to composite design and co-design for shape and control we are currently developing. - Opportunities in Egocentric Video Understanding.
Dima Damen (University of Bristol and Google DeepMind).
Keynote by Dima Damen is IAPR keynote.
Summary: Footage from wearable cameras offer unique opportunities in multi-modal learning (audio, camera motion, gaze) and present significant challenges to standard computer vision tasks. The talk will introduce common datasets, research questions and progress to date. Particular emphasis will be given to the new trend of operating ‘out of the frame’ where information is preserved in the world coordinate frame including head motion, interactions and object permanence. The newly introduced dataset HD-EPIC, CVPR 2025, will also be presented.
Oral Sessions
Oral Session A - 2D/3D Perception & Explainable AI
- ID10 The Impact of Semi-Supervised Learning on Line Segment Detection. Johanna Engman (Lund University), Kalle Åström (Lund University), Magnus Oskarsson (Lund University).
- ID61 Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations. Yifan Ding (Linkoping University), Arturas Aleksandrauskas (Linkoping University), Amirhossein Ahmadian (Linkoping University), Jonas Unger (Linkoping University), Fredrik Lindsten (Linkoping University), Gabriel Eilertsen (Linkoping University).
- ID9 A Meaningful Perturbation Metric for Evaluating Explainability Methods. Danielle Cohen (Tel Aviv University), Hila Chefer (Tel Aviv University), Lior Wolf (Tel Aviv University).
Oral Session B - Vision for Robotics & Applications
- ID7 Efficient Real-time Quadcopter Propeller Detection and Attribute Estimation with High-resolution Event Camera. Radim Spetlik (Visual Recognition Group), Tereza Uhrová (CTU), Jiří Matas (CTU).
- ID87 Road Grip Uncertainty Estimation Through Surface State Segmentation. Jyri Maanpää (Finnish Geospatial Research Institute FGI, National Land Survey of Finland), Julius Pesonen (Finnish Geospatial Research Institute FGI, National Land Survey of Finland), Iaroslav Melekhov (Department of Computer Science, Aalto University), Heikki Hyyti (Finnish Geospatial Research Institute FGI, National Land Survey of Finland), Juha Hyyppä (Finnish Geospatial Research Institute FGI, National Land Survey of Finland).
- ID38 Contour Detection in Glass Fiber Layups with Geometric Prior. Jonathan Bøss (University of Southern Denmark), Jakob Wilm (University of Southern Denmark).
Oral Session C - Machine Learning and Deep Learning
- ID8 Addressing degeneracies in latent interpolation for diffusion models. Erik Landolsi (Chalmers University of Technology), Fredrik Kahl (Chalmers University of Technology).
- ID18 PHASE: Physiological Dynamics-Based Attention for SpO2 Estimation. Shahzad Ahmad (Østfold University College), Surajit Mukherjee (Indian Statistical Institute), Sukalpa Chanda (Østfold University College), Shivakumara Palaiahnakote (University of Salford), Umapada Pal (Indian Statistical Institute), Marius Pedersen (NTNU Gjøvik).
- ID71 Efficient Object-Centric Learning for Videos. Rickard Maus (KTH Royal Institute of Technology), Atsuto Maki (KTH Royal Institute of Technology).
Oral Session D - Medical Imaging & Datasets
- ID44 Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review. Andreas Aspe (DTU), Jonas Pedersen (Copenhagen University Hospital), Andreas Johansen (Copenhagen University Hospital), Klaus Kofoed (Copenhagen University Hospital), Kristine Sørensen (DTU), Rasmus Paulsen (DTU), Josefine Sundgaard (DTU).
- ID51 Comparative Analysis of rPPG and Motion-Based Approaches for Heart and Respiration Rate Estimation from Videos. Nhi Nguyen (CMVS, University of Oulu), Constantino Álvarez Casado (CMVS, University of Oulu), Le Nguyen (CMVS, University of Oulu), Manuel Lage Cañellas (CMVS, University of Oulu), Miguel Bordallo López (CMVS, University of Oulu).
- ID62 Aligning Subjective and Objective Assessments in Super-Resolution Models. Muhammad Hamza Zafar (NTNU Norwegian University of Science and Technology), Jon Yngve Hardeberg (NTNU Norwegian University of Science and Technology).
Poster Sessions
Poster Session 1
- ID4 From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots. Vasileios Tzouras (Technical University of Denmark), Lazaros Nalpantidis (Technical University of Denmark), Ronja Güldenring (Technical University of Denmark).
- ID15 Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes. Andreas Lau Hansen (DTU), Lukas Wanzeck (DTU), Dimitrios Papadopoulos (DTU).
- ID25 Centered Self-Attention Layers. Ameen Ali (Tel Aviv University), Tomer Galanti (Texas A&M University), Lior Wolf (Tel Avuv University).
- ID30 Towards an AI-Powered Video Assistant Referee System (VARS) for Association Football. Jan Held (University of Liege), Anthony Cioppa (University of Liege), Silvio Giancola (Kaust), Abdullah Hamdi (University of Oxford), Christel Devue (University of Liege), Bernard Ghanem (Kaust), Marc Van Droogenbroeck (University of Liege).
- ID39 FACT: Multinomial Misalignment Classification for Point Cloud Registration. Ludvig Dillén (Lund University), Per-Erik Forssén (Linköping University), Johan Edstedt (Linköping University).
- ID53 Training Binary Neural Networks with Deep Semantic Guidance. Jiehua Zhang (University of Oulu), Zhuo Su (University of Oulu), Li Liu (National University of Defense Technology).
- ID59 Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization. Haishan Wang (Aalto University), Mohammad Vali (Aalto University), Arno Solin (Aalto University).
- ID67 Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. Sebastian Nørgaard Llambias (University of Copenhagen), Mads Nielsen (University of Copenhagen), Mostafa mehdipour ghazi (University of Copenhagen).
- ID78 Food State Recognition from Recipes Using Multimodal Model for Task Monitoring in Autonomous Cooking Robots. Rina Tagami (Chukyo University), Hiroki Kobayashi (Chukyo University), Shuichi Akizuki (Chukyo University), Manabu Hashimoto (Chukyo University).
- ID89 CSI2Depth: Spatio-Temporal Depth Images from Wi-Fi CSI Data via Transformer Networks and conditional Generative Adversarial Networks. Constantino Álvarez Casado (University of Oulu), Manuel Lage Cañellas (University of Oulu), Janne Mustaniemi (University of Oulu), Matteo Pedone (University of Oulu), Olli Silvén (University of Oulu), Miguel Bordallo López (University of Oulu).
- ID102 Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images. Anna Gummeson (Lund University), Gabrielle Flood (Lund University), Kari Nielsen (Region Skåne), Åsa Ingvar (Region Skåne), Fredrik Johansson (Region Skåne), Carolina Nätterdahl (Region Skåne), Ida Arvidsson (Lund University).
- ID108 A Remote Gesture-Based Machine Vision System for Infection-Free Medical Interaction. Van Doi Truong (Department of Mechanical Design Engineering, Hanyang University), Hyun-Kyo Lim (Department of Mechanical Design Engineering, Hanyang University), Seongje Kim (Department of Mechanical Design Engineering, Hanyang University), Trong Khanh Dat Than (Faculty of Mechanical Engineering, Ho Chi Minh City University of Technology), Jonghun Yoon (Department of Mechanical Engineering, Hanyang University). Abstract submission.
- ID114 Exploring text-to-image generation for historical document image retrieval. Melissa Cote (University of Victoria), Alexandra Branzan Albu (University of Victoria). Abstract submission.
- ID119 Deep Learning-Enhanced Whole Heart Light Sheet Microscopy Reveals Semaglutide Efficacy on Cardiac Fibrosis. Sheyla Barrado Ballestero (Gubra), Sarah Yttergren (Gubra), Max Hahn (Gubra), Marie Rosenkilde (Gubra), Casper Salinas (Gubra), Urmas Roostalu (Gubra). Abstract submission.
- ID124 SupeRF: Neural Fields for Multi-Image Super-Resolution. Sander Riisøen Jyhne (University of Agder), Serge Belongie (University of Copenhagen), Nico Lang (University of Copenhagen). Abstract submission.
- … and the 3 contributions from Oral Session A
Poster Session 2
- ID5 FGGP: Fixed-Rate Gradient-First Gradual Pruning. Lingkai Zhu (Uppsala University), Can Deniz Bezek (Uppsala University), Orcun Goksel (Uppsala University).
- ID16 POEM: Precise Object-level Editing via MLLM control. Marco Schouten (DTU), Mehmet Onurcan Kaya (DTU), Serge Belongie (University of Copenhagen), Dim P Papadopoulos (DTU).
- ID31 FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. Ulas Gunes (Tampere University), Matias Turkulainen (Aalto University), Xuqian Ren (Tampere University), Arno Solin (Aalto University), Juho Kannala (Aalto University), Esa Rahtu (Tampere University).
- ID40 Statistical analysis of left ventricular remodeling following a myocardial infarct. Cathrine Underbjerg Hansen (Technical University of Denmark), Mathias Micheelsen Lowes (Technical University of Denmark), Andreas Ohrt Johansen (Copenhagen University Hospital Rigshospitalet), Klaus Kofoed (Copenhagen University Hospital Rigshospitalet), Tobias Kühl Jørgen (Copenhagen University Hospital Rigshospitalet), Allan Aasbjerg Nielsen (Technical University of Denmark), Rasmus Paulsen (Technical University of Denmark), Josefine Vilsbøll Sundgaard (Novo Nordisk A/S, Technical University of Denmark), Kristine Aavild Sørensen (Novo Nordisk A/S, Technical University of Denmark).
- ID54 Deep Spatio-Temporal Neural Network for Air Quality Reanalysis. Ammar Kheder (LUT University), Benjamin Foreback (Univeristy of Helsinki), Lili Wang (Institute of Atmospheric Physics, Chinese Academy of Sciences), Zhi-Song Liu (LUT University), Michael Boy (Univeristy of Helsinki ).
- ID60 FAST-AID Brain: Fast and Accurate Segmentation Tool Using Artificial Intelligence Developed for Brain. Mostafa mehdipour ghazi (University of Copenhagen), Mads Nielsen (University of Copenhagen).
- ID73 EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation. Zixuan Fang (TU Darmstadt), Thomas Pöllabauer (TU Darmstadt), Tristan Wirth (TU Darmstadt), Sarah Berkei (Threedy GmbH), Volker Knauthe (TU Darmstadt), Arjan Kuijper (TU Darmstadt,Fraunhofer IGD).
- ID79 Subspace-Based Embedded Feature Reduction for Fast Anomaly Detection. Naoki Murakami (Chukyo University), Naoto Hiramatsu (Chukyo University), Hiroki Kobayashi (Chukyo University), Shuichi Akizuki (Chukyo University), Manabu Hashimoto (Chukyo University).
- ID91 Spherical Harmonics Grid for Fast Ultrasound 3D Reconstruction. Kamil Mikolaj (Technical University of Denmark), Anders Nymark Christensen (Technical University of Denmark).
- ID98 Adversarially Informed Neural Fields for Computed Tomography Reconstruction. Rasmus Pedersen (DTU), Vedrana Dahl (DTU), Anders Dahl (DTU), Jens Andreasen (DTU), Jakob Jørgensen (DTU), Luke Besley (DTU).
- ID103 The Weighting Game: Evaluating Quality of Explainability Methods. Lassi Raatikainen (Tampere University), Esa Rahtu (Tampere University).
- ID110 Open-Vocabulary 3D Object Detection in Autonomous Driving via LiDAR-Language Alignment. Lei Li (University of Copenhagen), Jenq-Neng Hwang (University of Washington), Serge Belongie (University of Copenhagen). Abstract submission.
- ID115 Soil quality classification using machine and deep learning on geospatial crop data in Norway. Rashmi Gupta (Kristiania University of Applied Sciences). Abstract submission.
- ID120 Retinal Age Gap as a Biomarker; Assessing the Validity in the Tromsø Study. Magnus Størdal (UiT), Benjamin Ricaud (UiT), Michael Kampffmeyer (UiT), Maja Erke (UiT), Geir Bertelsen (UiT). Abstract submission.
- ID125 Building Multimodal Resources for Low-Resource Languages: Insights from the Scandinavian Languages. Vésteinn Snæbjarnarson (University of Copenhagen), Wenyan Li (University of Copenhagen), Serge Belongie (University of Copenhagen). Abstract submission.
- … and the 3 contributions from Oral Session B
Poster Session 3
- ID6 Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition. Xuqian Ren (Tampere University), Juho Kannala (Aalto University), Esa Rahtu (Tampere University).
- ID20 Non-stationary signal analysis: detrending and anomaly detection. Vojtěch Drahý (Czech technical university in Prague, Lappeenranta-Lahti University of Technology LUT), Radek Mařík (Czech technical university in Prague), Heikki Kälviäinen (Lappeenranta-Lahti University of Technology LUT, Brno University of Technology).
- ID32 Active Learning with nnUNet for Coronary Artery Lumen Segmentation using a Centerline Prior. Anna Bøgevang Ekner (Technical University of Denmark), Mathias Micheelsen Lowes (Technical University of Denmark), Rasmus Reinhold Paulsen (Technical University of Denmark), Klaus Fuglsang Kofoed (Copenhagen University Hospital Rigshospitalet), Andreas Ohrt Johansen (Copenhagen University Hospital Rigshospitalet), Kristine Aavild Sørensen (Novo Nordisk A/S, Technical University of Denmark ), Josefine Vilsbøll Sundgaard (Novo Nordisk A/S, Technical University of Denmark).
- ID47 Determining Fetal Orientations From Blind Sweep Ultrasound Video. Jakub Maciej Wiśniewski (Technical University of Denmark), Anders Christensen (Technical University of Denmark), Mary Ngo (CAMES RH), Martin Tolsgaard (CAMES RH), Chun Kit Wong (Technical University of Denmark).
- ID55 Is Adversarial Training with Compressed Datasets Effective?. Tong Chen (University of Copenhagen), Raghavendra Selvan (University of Copenhagen).
- ID64 Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data. Justus Karlsson (Linköping University), Yonghao Xu (Linköping University), Amanda Berg (Linköping University), Leif Haglund (Linköping University).
- ID75 Characteristic-driven Deep Learning in Synthetic Aperture Radar Target Recognition. Xiaoyan zhou (National University of Defense Technology), Zhuo Su (University of Oulu), Tao Tang (National University of Defense Technology), Li Liu (National University of Defense Technology), Gangyao Kuang (National University of Defense Technology).
- ID83 NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation. Junyuan Fang (Aalto University), Zihan Wang (Aalto University), Yejun Zhang (Aalto University), Shuzhe Wang (Aalto University), Iaroslav Melekhov (Aalto University), Juho Kannala (Aalto University).
- ID92 A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology. Marco Acerbis (Uppsala University), Joakim Lindblad (Uppsala University), Nataša Sladoje (Uppsala University).
- ID104 Single-Image Localised Reflection Removal with k-Order Differences Term. Radim Spetlik (Visual Recognition Group), Jiri Matas (CTU).
- ID111 Simulated Training Data for Deep Learning-Based X-ray Tomography. Mary Chris Go (LIACS, University of Leiden), Daniël M Pelt (LIACS, University of Leiden), K Joost Batenburg (LIACS, University of Leiden). Abstract submission.
- ID116 Identifying bycatch on pelagic fishing vessels using semi-supervised anomaly detection. Stefan Hein Bengtson (Aalborg University), Malte Pedersen (Aalborg University), Mathias Søgaard (The Danish Pelagic Producers Organization), Claus Reedtz Sparrevohn (The Danish Pelagic Producers Organization), Kamal Nasrollahi (Aalborg University). Abstract submission.
- ID121 SpaceMASt3R: Map-based Georeferencing of Line Scanner Satellite Imagery utilizing Deep Neural Networks. Michael Greza (Technical University of Munich), Felix Plantenberg (Technical University of Munich), Boris Jutzi (Technical University of Munich). Abstract submission.
- ID126 Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models. Srishti Yadav (University of Copenhagen), Zhi Zhang (University of Amsterdam), Daniel Hershcovich (University of Copenhagen ), Ekaterina Shutova (University of Amsterdam). Abstract submission.
Poster Session 4
- ID11 Semi-Supervised Contrastive Training for Similar Image Identification in a Large Collection of Historical Books. Ruilin Wang (University of Helsinki), Lidia Pivovarova (University of Helsinki), Yann Ryan (Leiden University), Mikko Tolonen (University of Helsinki).
- ID33 SunVid: A Curated Online Video Database for Sundown Syndrome Research. Qianru Xu (University of Oulu), Mengting Wei (University of Oulu), Huai-Qian Khor (University of Oulu), Feng Vankee Lin (Stanford University), Guoying Zhao (University of Oulu).
- ID49 Evaluating the Accuracy and Reliability of Camera-Based Physiological and Motion Signal Extraction Techniques in Virtual Reality Training Environments. Tharindu Ekanayake (University of Oulu), Constantino Álvarez Casado (University of Oulu), Nhi Nguyen (University of Oulu), Marta Sobocinski (University of Oulu), Sari Pramila-Savukoski (University of Oulu), Xiaoting Wu (University of Oulu), Kristina Mikkonen (University of Oulu), Miguel Bordallo López (University of Oulu).
- ID57 Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation. Shipeng Liu (Linköping University), Ziliang Xiong (Linköping University), Per-Erik Forssén (Linköping University), Bastian Wandt (Linköping University).
- ID65 Quantifying Epistemic Uncertainty in Absolute Pose Regression. Fereidoon Zangeneh (KTH Royal Institute of Technology), Amit Dekel (Univrses AB), Alessandro Pieropan (Univrses AB), Patric Jensfelt (KTH Royal Institute of Technology).
- ID76 Diffusion Based Ambiguous Image Segmentation. Jakob Christensen (The Technical University of Denmark), Morten Rieger Hannemose (The Technical University of Denmark), Anders Bjorholm Dahl (The Technical University of Denmark), Vedrana Andersen Dahl (The Technical University of Denmark).
- ID84 Out-of-Distribution Detection in Point-of-Care Ultrasound Breast Imaging using Variational Autoencoders. Jennie Karlsson (Lund University), Oskar Åström (Lund University).
- ID106 Evaluating treatment recommendations for prostate cancer given by an AI model. Ewert Bengtsson (Uppsala university). Abstract submission.
- ID112 Designing activation functions with fractional calculus. Vojtech Molek (University of Ostrava), Zahra Alijani (University of Ostrava). Abstract submission.
- ID117 Multi-Stain Fusion via Deep Learning for Histopathology Images. Christoforos Spyretos (Linköping University), Iulian Emil Tampu (Linköping University), Per Nyman (Linköping University), Ida Blystad (Linköping University), Anders Eklund (Linköping University), Neda Haj Hosseini (Linköping University). Abstract submission.
- ID122 3D deep brain segmentation for MRI using region-based convolutional neural networks. Mengyu Li (University of Iceland), Magnús Magnússon (University of Iceland), Ingibjörg Kristjánsdóttir (University of Iceland), Thilo von Eimeren (University of Cologne), Lotta Ellingsen (University of Iceland). Abstract submission.
- … and the 3 contributions from Oral Session C
Poster Session 5
- ID12 pix2pockets: Single Image Ball Detection for Shot Suggestions in 8-Ball Pool. Viktor Petersen (Technical University of Denmark), Jonas Schiøtt (Technical University of Denmark), Dim Papadopoulos (Technical University of Denmark).
- ID26 Infused Suppression Of Magnification Artefacts For Micro-AU Detection. Huai Qian Khor (University of Oulu), Yante Li (University of Oulu), Xingxun Jiang (Southeast University), Guoying Zhao (University of Oulu).
- ID37 Visual Re-Ranking with Non-Visual Side Information. Gustav Hanning (Lund University), Gabrielle Flood (Lund University), Viktor Larsson (Lund University).
- ID52 Sex Classification from Human Scent Using Image Interpretation of 2D Gas Chromatography-Mass Spectrometry Data. Jan Hlavsa (CTU), Radim Spetlik (Visual Recognition Group), Jana Čechová (UCT), Petra Pojmanová (UCT), Jiri Matas (CTU), Štěpán Urban (UCT).
- ID58 A spectral-preserving zero-shot technique for hyperspectral pansharpening. Giuseppe Guarino (Federico II University), Giuseppe Scarpa (Parthenope University), Matteo Ciotola (Federico II University).
- ID66 Data-Efficient Limited-Angle Tomography Using Deep Priors and Regularization. Esko Vahteristo (LUT university), Zhi-Song Liu (LUT University), Andreas Rupp (Saarland University).
- ID77 Are generative models fair? A study of racial bias in dermatological image generation. Miguel López-Pérez (Universitat Politècnica de València), Søren Hauberg (Technical University of Denmark), Aasa Feragen (Technical University of Denmark).
- ID85 Demosaicing and Neural Network Based Image Reconstruction in the Presence of Noise. Gustav Mark-Hansen (University of Copenhagen), Frederik Henriques Altmann (University of Copenhagen), Christian Igel (University of Copenhagen), Ankit Kariryaa (University of Copenhagen).
- ID99 Assessing the Efficacy of Multi-Task Learning in Mammographic Density Classification: A study on Class Imbalance and Model Performance.. Suaiba Salahuddin (UiT), Elisabeth Wetzer (UiT), Kristoffer Wickstrøm (UiT), Solveig Thrun (UiT), Michael Kampffmeyer (UiT), Robert Jenssen (UiT).
- ID107 On Robustness of Token Reduction Methods. Joakim Haurum (Aalborg University), Sergio Escalera (Universitat de Barcelona), Graham Taylor (University of Guelph), Thomas Moeslund (Aalborg University). Abstract submission.
- ID113 VNNE: Implicit Ensemble Approach for Neural Networks. Marek Vajgl (University of Ostrava), Vojtech Molek (University of Ostrava), Zahra Alijani (University of Ostrava), Petr Hurtik (University of Ostrava). Abstract submission.
- ID118 Foundation models evaluated on a multi-center histopathology cohort. Iulian Tampu (Linkoping University), Per Nyman (Crown Princess Victoria Children’s Hospital and Linköping University), Christoforos Spyretos (Linköping University), Ida Blystad (Linköping University), Alia Shamikh (Karolinska Institutet), Gabriela Prochazka (Karolinska Institutet), Teresita Díaz de Ståhl (Karolinska Institutet), Johanna Sandgren (Karolinska Institutet), Peter Lundberg (Linköping University), Neda Haj-Hosseini (Linköping University). Abstract submission.
- ID123 Physics-informed deep learning for improved input function estimation in motion-blurred dynamic [18F]FDG PET images. Christian Salomonsen (UiT - The Arctic University of Norway), Kristoffer Wickstrøm (UiT - The Arctic University of Norway), Elizabeth Wetzer (UiT - The Arctic University of Norway), Samuel Kuttner (UiT - The Arctic University of Norway). Abstract submission.
- … and the 3 contributions from Oral Session D
Program Extras
- Sunday. QIM Workshop: Challenges in analysis of large image data
- Sunday. Welcome reception. Details to be announced.
- Tusday. A half-day excursion including visits to the Geysir geothermal area and Gullfoss waterfall. Conference dinner on excursion site and the announcement of the Best Nordic Thesis Prize. Details to be announced.