8:30-14:00

Registration Desk Open
Location: Entrance of Ametyst building

Tutorials

09:30

Tutorial 1
Location: Ametyst building, room A154

Hard and soft metrology challenges in Material Appearance
by Davit Gigilashvili and Adity Sole from NTNU, Norway

09:30

Tutorial 2
Location: Kobolt building, room K109

Recent trends in MRI reconstruction
by Joseph Suresh Paul from School of Informatics, Kerala University, India

12:00

Lunch

13:30

Tutorial 3
Location: Beryll building, room B211

Color in computer vision
by Maria Vanrell from Universitat Autònoma de Barcelona, Spain

13:30

Tutorial 4
Location: Gneis building, room G303

From Volumetric Video to Interactive Virtual Humans
by Peter Eisert from Humboldt University Berlin & Fraunhofer HHI, Germany

8:00

Registration Desk Open
Location: Outside Eureka auditorium

8:45

Welcome Ceremony

09:00

Plenary 1: Mohammed Bennamoun from  University of Western Australia, Perth, Australia

3D Computer Vision for Future Robots

Chair: Faouzi Alaya Cheikh

10:00

Coffee break

Special session 1: AI in the City: Efficient, Scalable and Privacy-Preserving Visual Scene Understanding in Man-Made Environments

10:20

Invited talk: Registration for Urban Modeling Based on Linear and Planar Features
by Pascal Monasse from Ecole des Ponts ParisTech, France

10:50

Mono6D++: Learning Point Cloud Visibility for 3D Prior-based Vehicle 6D Pose Estimation
by Yangxintong Lyu¹, Olivier Ducastel¹, Remco Royen¹, Adrian Munteanu¹.
¹ Vrije Universiteit Brussel

11:10

Attention-based Network for Image/Video Salient Object Detection
by Omar Elharrouss¹, Soukaina ElIdrissi ElKaitouni², Younes Akbari¹, Somaya Al Maadeed¹, Ahmed Bouridane³.
¹Qatar University, ²SIdi Mohamed Ben Abdellah Univerisity, ³University of Sharjah.

11:30

360-GAN: Cycle-Consistent GAN for Extrapolating 360-Degree Field-of-View
by Jit Chatterjee¹, Maria Torres Vega¹.
¹KU Leuven.

11:50

All Predictions Matter: An Online Video Prediction Approach
by Melan Vijayaratnam¹, Marco Cagnazzo¹, Giuseppe Valenzise², Enzo Tartaglione³.
¹LTCI, Télécom ParisTech, Institut Polytechnique de Paris, France, ²CNRS, ³Télécom Paris – Institut Polytechnique de Paris.

12:10

Lunch

Oral Session 1: Quality and Performance Assessment

Chair: Ali Amirshahi

13:40

Evaluating the Vulnerability of Deep Learning-based Image Quality Assessment Methods to Adversarial Attacks
by Hanene Fatima Zohra Brachemi Meftah¹, Sid Ahmed Fezza², Wassim Hamidouche¹, Olivier Deforges³.
¹INSA Rennes, ²National Higher School of Telecommunications and ICT, ³IETR, Rennes

14:00

Blind Video Stabilization Assessment based on convolutional LSTM
by Mohamed Riad Yagoubi¹, Seyed Ali Amirshahi¹, Steven Y Le Moan¹, Azeddine Beghdadi², Erik Rodner³.
¹Norwegian University of Science and Technology, ²L2TI, University Sorbonne Paris Nord, ³University of Applied Sciences, Berlin

14:20

VSTAB-QUAD: A New Video-stablization Quality Assessment Database
by Borhen eddine Dakkar¹, Azeddine Beghdadi¹, Faouzi Alaya-Chekh², Amine Bourki³.
¹L2TI, University Sorbonne Paris Nord, ²Norwegian University of Science and Technology. ³VizioSense

14:40

Improving Viewer Training in Visual Assessment
by Mathias Wien¹ Vittorio Baroncini².
¹RWTH Aachen University, ²VABtech.

15:00

Poster Session: Detection, Classification, Data Protection and Scene Analysis

Chair: Hantao Liu
Location: Outside Eureka auditorium
(Coffee will be available during poster session)

• MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers by Muhammad Bilal B Shaikh¹, Douglas Chai¹, Syed Islam¹, Naveed Akhtar². ¹Edith Cowan University, ²The University of Western Australia
• Semi-Supervised Anomaly Detection in Electronic-Exam Proctoring Based on Skeleton Similarity by Habibollah Agh Atabay¹, Hamid Hassanpour¹. ¹Shahrood University of Technology.
• CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision by Ayman Beghdadi¹, Azeddine Beghdadi², Malik Mallem¹, Faouzi Alaya-Chekh ³, Beji Lotfi^{4 1}Paris Saclay University, ²L2TI, University Sorbonne Paris Nord, ³Norwegian University of Science and Technology, ⁴University of Evry.
• Skeleton-based Hand Gesture Recognition using Geometric Features and Spatio-Temporal Deep Learning Approach by Abu Saleh Musa Miah¹, Jungpil Shin¹, Md. Al. Mehedi Hasan², Yusuke Fujimoto¹, Nobuyoshi Asai¹. ¹The University of Aizu, ²Rajshahi University of Engineering & Technology.
• CTL-NET: Deep Learning Network for Cattle Teat Length Trait Analysis by Hina Afridi¹, Mohib Ullah¹, Øyvind Nordbø², Anne Guro Larsgard³, Faouzi Alaya-Chekh¹. ¹Norwegian University of Science and Technology, ²Norsvin SA, ³Geno SA.
• Underwater Object Detection in AUVs using Image Enhancement and Deep Learning Models by Adane N. Tarekegn¹, Faouzi Alaya-Chekh¹, Mohib Ullah¹, Erik Sollesnes², Cornelia Alexandru³, Saeed Azar⁴, Erdeniz Erol⁵, George Suciu³ (¹Norwegian University of Science and Technology, ²USEA Ocean Data, ³BEIA consult International, ⁴OBSS Teknoloji A.Ş, ⁵Elkon.
• Wild Animal Species Classification from Camera Traps using Metadata Analysis by Aslak Tøn¹, Ali Shariq Imran¹, Mohib Ullah¹. ¹Norwegian University of Science and Technology.
• A hitchhiker’s guide to white-box neural network watermarking robustness by Carl De Sousa Trias¹, Mihai Petru Mitrea¹, Enzo Tartaglione¹, Attilio Fiandrotti², Marco Cagnazzo¹, Sumanta Chaudhuri¹. ¹Télécom ParisTech, Institut Polytechnique de Paris, France, ²Università di Torino.
  • Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images by Dhruv C Jobanputra¹, Mohammed Bennamoun¹, Farid Boussaid¹, Lian Xu¹, Jafri Kuthubutheen¹.¹The University of Western Australia.

16:00

End

16:30

Reception and Social Activity
Location: Gjøvik Science Centre, Address: Brennerigata 1, 2815 Gjøvik.

9:00

Plenary 2 : Quantitative imaging biomarkers in the era of precision medicine

by Habib Zaidi from Geneva University Hospitals, Geneva, Switzerland

Chair: Djamila Aouada

10:00

Coffee break

Oral Session 2 : Medical Image Processing, Analysis and Diagnosis

Chair: Marius Pedersen

10:20

DCAN: DenseNet with Channel Attention Network for Super-resolution of Wireless Capsule Endoscopy
by Hiren Vaghela¹, Anjali Sarvaiya¹, Pranav Premlani¹, Abhishek Agarwal¹, Kishor Upla¹, Kiran Raja², Marius Pedersen².
¹Sardar Vallabhbhai National Institute of Technology, Surat, India, ²Norwegian University of Science and Technology

10:40

Enhancement of Color Reproduction for Capsule Endoscopy Images
by Léo Watine¹, Pål Anders Floor², Marius Pedersen¹, Peter Nussbaum¹, Bilal Ahmad¹, Øistein Hovde³.
¹Université de Strasbourg, ²Norwegian University of Science and Technology, ³University of Oslo.

11:00

A Quality-Oriented Database for Video Capsule Endoscopy
by Tan-Sy Nguyen¹, Marie Luong¹, John Chaussard¹, Azeddine Beghdadi¹, Hatem Zaag¹, Thuong Le-Tien².
¹Université Sorbonne Paris Nord, ²HCMUT.

11:20

FEES-IS: Real-time Instance Segmentation of Flexible Endoscopic Evaluation of Swallowing
by Weihao Weng¹, Xin Zhu¹, Mitsuyoshi Imaizumi², Shigeyuki Murono².
¹University of Aizu, ²Fukushima Medical University.

11:40

Identification of Children with ADHD from EEG Signals Based on Entropy Measures and Support Vector Machine by Med Maniruzzaman¹, Med. Al Mehedi Hasan², Taro Suzuki¹, Jungpil Shin¹. ¹The University of Aizu, ²Rajshahi University of Engineering & Technology.

12:00

Lunch

Oral Session 3: Visual information display, rendering and compression

Chair: Nuno Rodrigues

13:40

Evaluating the effect of sparse convolutions on point cloud compression
by Davi Lazzarotto¹, Touradj Ebrahimi¹.
¹École Polytechnique Fédérale de Lausanne

14:00

Study on Viewpoint-Dependent Time-Multiplexing for Weighted Optimization of 3D Layered Displays
Armand Losfeld¹, Daniele Bonatto¹, Gauthier Lafruit¹, Mehrdad Teratani¹.
¹Université Libre de Bruxelles.

14:20

Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition.
Mohammad Khateri¹, Morteza Ghahremani¹, Alejandra Sierra¹, Jussi Tohka¹.
¹University of Eastern Finland.

14:40

Using Deep Generative Models for Glossy Appearance Synthesis and Exploration
by Abhinav Reddy Nimma¹, Davit Gigilashvili¹.
¹Norwegian University of Science and Technology.

15:00

ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression
by Ahmed Ghorbel¹, Wassim Hamidouche², Luce Morin¹.
¹INSA Rennes, ²TII.

15:20

Coffee break

15:40

Plenary 3: Model-Based Optimization Meets Deep Learning in Image Analysis

by Aleksandra Pizurica from Ghent University, Belgium

Chair: Stefania Colonnese

16:40

3MT Session

Chairs: Tiziana Cattai

17:40

End

19:00

Conference dinner
Location: Samfundet, Address: Øvre Torvgate 24, 2815 Gjøvik

9:00

Plenary 4: Deep learning for inverse problems in imaging

by Enrico Magli from Politecnico di Torino, Italy

Chair: Anirban Mukhopadhyay

10:00

Coffee break

Special Session 2: Image Quality Assessment and Enhancement in the Context of Medical Imaging and Diagnosis

Chair: Azeddine Beghdadi

10:20

Invited Talk : Predicting Radiologists’ Gaze with Computational Saliency Models in Mammogram Reading.
by Hantao Liu from Cardiff University, UK

10:50

Deep Learning Models for Low Dose CT Simulation
by Lumi XIA ¹, Meriem MO OUTTAS¹, Lu Zhang¹, Eric Frampas², Olivier Deforges¹.
¹IETR, INSA Rennes, ²Universitary Hospital.

11:10

Medical Point Clouds Enhancement at the Network Edge
by Paolo Giannitrapani¹, Tiziana Cattai¹, Stefania Colonnese¹.
¹Sapienza Universit di Roma, Italy.

11:30

Enhanced residue prediction for Lossless coding of multimodal image pairs based on image to image translation
by Daniel S Nicolau¹, João Oliveira Parracho², Lucas Thomaz², Luis MN Tavora¹, Sergio M Faria².
¹Instituto Politécnico de Leiria, ²Instituto de Telecomunicacoes.

11:50

Automatic lung nodule classification in CT images using Two-stage CNNs and Soft-voting of Multi-scale Classifiers
by Lipeng Xie (Zhengzhou University), Yubing Tong (University of Pennsylvania), Yuan Wan (Binghamton University).

12:10

Lunch

Special Session 3: Spectral Imaging and its Applications

Chair: Sony George

13:40

Invited talk: Spectral Imaging and its Application to Cultural Heritage
by Giorgio Trumpy from NTNU, Gjovik, Norway

14:10

Bayesian Multispectral Videos Super Resolution
by Hamid Fsian¹, Jean Baptiste Thomas¹, Pierre Gouton², Jon Yngve Hardeberg³.
¹University of Burgundy, France, ²University of Burgundy, Franche-Comté, ³Norwegian University of Science and Technology.

14:30

Centralized Sample Expansion and Prior Correlation Evaluation for Hyperspectral Image Classification with Fully Convolutional Network
by Ningyang Li¹, Zhaohui Wang¹.
¹Hainan University.

14:30

Coffee break

15:10

Project dissemination session
Chair: Joaquin Olivares

16:10

Panel discussion – Revolutionizing health care with AI-assisted medical imaging analysis
Chair: Jon Yngve Hardeberg

Panel discussion participants:
Habib Zaidi
Øystein Hovde
Anne Solberg
Robert Jenssen

17:10

Closing ceremony