Final Program
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Program at a Glance
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1st June 2022
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Location / session chair
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8h30
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Welcome - registration
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Hall
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9h
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Opening
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Amphi Farabeuf
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9h30
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Session 1 Deep learning 1
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Amphi Farabeuf
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Space-Time Memory networks for multi-person skeleton body part detection, Rémi Dufour, Cyril Meurie, Olivier Lezoray and Ankur Mahtani
Covid-19 Vaccine Sentiment Analysis during Second Wave in India by Transfer Learning using XLNet, Anmol Bansal, Seba Susan, Arjun Choudhry and Anubhav Sharma
Modular StoryGAN with Background and Theme Awareness for Story Visualization, Gábor Szűcs and Modafar Al-Shouha
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments, Christian Homeyer, Oliver Lange and Christoph Schnörr
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Eric Granger
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11h
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Coffee break
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Salle Marie Curie
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11h30
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Session 2 Neural networks
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Amphi Farabeuf
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On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems, Soma Kontár and András Horváth
Pruning Neural Nets by Optimal Neuron Merging, Felix Goldberg, Yackov Lubarsky, Alexei Gaissinski, Dan Botchan and Pavel Kisilev
DRN: Detection and Removal of Noisy Instances with Self Organizing Map, Rashida Hasan and Cheehung Henry Chu
One-shot Decoupled Face Reenactment with Vision Transformer, Chen Hu and Xianghua Xie
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B.B. Chaudhuri
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12h45
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Lunch
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Salle Marie Curie
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14h
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Keynote
Robert B. Fisher: The TrimBot2020 outdoor gardening robot
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Amphi Farabeuf
Nicole Vincent
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15h15
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Session 3A Deep learning 2
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Amphi Farabeuf
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Hypercomplex Generative Adversarial Networks for Lightweight Semantic Labeling, Giorgos Sfikas, George Retsinas, Basilis Gatos and Christophoros Nikou
Identifying, Evaluating, and Addressing Nondeterminism in Mask R-CNNs, Stephen Price and Rodica Neamtu
Visual Radial Basis Q-Network, Julien Hautot, Céline Teulière and Nourddine Azzaoui
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Véronique Eglin
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15h15
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Session 3B Image Analysis 1
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Amphi Frézal
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Application of Rail Segmentation in The Monitoring of Autonomous Train's Frontal Environment, Mohamed Amine Hadded, Ankur Mahtani, Sébastien Ambellouis, Jacques Boonaert and Hazem Wannous
Attention Embedding ResNet for Pest Classification, Jinglin Wu, Shiqi Liang, Ning Bi and Jun Tan
Inpainting Applied to Facade Images: a Comparison of Algorithms, Willy Fritzsche, Steffen Goebbels, Simon Hensel, Marco Rußinski and Nils Schuch
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Camille Kurtz
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16h
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Coffee break
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Salle Marie Curie
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16h30
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Session 4 Machine learning
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Amphi Farabeuf
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Unsupervised Representation Learning Via Information Compression, Zezhen Zeng, Jonathon Hare and Adam Prügel-Bennett
Bayesian Gate Mechanism for Multi-Task Scale Learning, Shihao Wang and Hongwei Ge
Self-Distilled Self-Supervised Depth Estimation in Monocular Videos, Julio Mendoza and Helio Pedrini
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Mounim A. El Yacoubi
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18h15
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Cocktail – concert ‘Music meets Science’ by M. Drobinsky
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2nd June 2022
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Location / session chair
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8h30
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Session 5A Deep learning 3
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Amphi Frézal
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Understanding Individual Neurons of ResNet Through Improved Compositional Formulas, Rafael Harth
Towards a Unified Benchmark for Monocular Radial Distortion Correction and the Importance of Testing on Real-World Data, Christoph Theiß and Joachim Denzler
Visual Microfossil Identification via Deep Metric Learning, Tayfun Karaderi, Tilo Burghardt, Allison Y. Hsiang, Jacob Ramaer and Daniela N. Schmidt
Guiding Random Walks by Effective Resistance for Effective Node Embedding, Abderaouf Gacem, Mohammed Haddad, Hamida Seba, Gaetan Berthe and Michel Habib
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Charlotte Pelletier
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8h30
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Session 5B Image Analysis 2
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Amphi Portier
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ASRSNet: Automatic Salient Region Selection Network for Few-Shot Fine-Grained Image Classification, Yi Liao, Weichuan Zhang, Yongsheng Gao, Changming Sun and Xiaohan Yu
ConDense: Multiple Additional Dense Layers with Fine-grained Fully-connected Layer Optimisation for Fingerprint Recognition, Dane Lang and Dustin Van Der Haar
Hierarchical approach for the classification of multi-class skin lesions based on deep convolutional neural networks, Samia Benyahia, Meftah Boudjelal and Olivier Lezoray
Ordinal classification and regression techniques for distinguishing neutrophilic cell maturity stages in human bone marrow, Philipp Gräbel, Martina Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof
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Romain Giot
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9h30
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Keynote
Walter G. Kropatsch : Controlling Topology-Preserving Graph-Pyramid
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Amphi Frézal
Mounîm A. El Yacoubi
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10h30
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Coffee break
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11h
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Session 6A Deep learning 4
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Amphi Frézal
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Deep Learning for Fast Segmentation of E-waste Devices’ Inner Parts in a Recycling Scenario, Cristof Rojas, Erwan Renaudo and Antonio Rodríguez-Sánchez
Lip-based Identification using YOLOR, Wardah Farrukh and Dustin Van Der Haar
Lateral Ego-Vehicle Control without Supervision using Point Clouds, Florian Müller, Qadeer Khan and Daniel Cremers
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Jiang Xiaoyi
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11h
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Session 6B Multimodal image processing
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Amphi Portier
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A Framework for Registration of Multi-modal Spatial Transcriptomics Data, Yu Qiang, Karl Rohr, Shixu He, Renpeng Ding, Yan Zhou, Kailong Ma and Yong Hou
A Sensor-Independent Multimodal Fusion Scheme for Human Activity Recognition, Anastasios Alexiadis, Alexandros Nizamis, Dimitrios Giakoumis, Konstantinos Votis and Dimitrios Tzovaras
Generative Target Update for Adaptive Siamese Tracking, Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E Cruz, Louis-Antoine Blais-Morin and Eric Granger
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Walter G. Kropatsch
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12h
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Lunch
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13h15
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Session 7A Image generation
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Amphi Frézal
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GANs based Conditional Aerial Images Generation for Imbalanced Learning, Itzel Belderbos, Tim de Jong and Mirela Popa
Compositing Foreground and Background Using Variational Autoencoders, Zezhen Zeng, Jonathon Hare and Adam Prügel-Bennett
Face Age Progression with Attribute Manipulation, Sinzith Tatikonda, Athira Nambiar and Anurag Mittal
Visual Transformer-based Models: A Survey, Xiaonan Huang, Ning Bi and Jun Tan
Controlling the quality of GAN-based generated images for Predictions Tasks, Hajar Hammouch, Mounim El-Yacoubi, Huafeng Qin, Hassan Berbia and Mohamed Chikhaoui
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Stephen Smith
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13h15
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Session 7B eXplainable Artificial Intelligence
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Amphi Portier
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Explaining Image Classifications with Near Misses, Near Hits and Prototypes - Supporting Domain Experts in Understanding Decision Boundaries, Marvin Herchenbach, Dennis Müller, Stephan Scheele and Ute Schmid
Multi Layered Feature Explanation Method for Convolutional Neural Networks, Luca Bourroux, Jenny Benois-Pineau, Romain Bourqui and Romain Giot
Discriminatory Expressions to Improve Model Comprehensibility in Short Documents, Manuel Francisco and Juan Luis Castro
Metrics for saliency map evaluation of deep learning explanation methods, Tristan Gomez, Thomas Fréour and Harold Mouchère
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Romain Giot
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14h30
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Session 8 Segmentation / Classification 1
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Amphi Frézal
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DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet, Ali Karaali, Rozenn Dahyot and Donal J. Sexton
Dealing with incomplete land-cover database annotations applied to satellite image time series semantic segmentation, Lucas Colomines, Camille Kurtz, Anne Puissant and Nicole Vincent
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification, Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham and Sébastien Lefèvre
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Harold Mouchère
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14h30
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Special Session: Medical Applications of Pattern Recognition and AI
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Amphi Portier
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Analysing the Impact of Vibrations on Smart Wheelchair Systems and Users,Elhassan Mohamed, Konstantinos Sirlantzis and Gareth Howells
Deep Reinforcement Learning for Autonomous Navigation in Robotic Wheelchairs, Sotirios Chatzidimitriadis and Konstantinos Sirlantzis
Fusing AutoML Models: A Case Study in Medical Image Classification, Melissa R. Dale, Arun Ross and Erik M. Shapiro
Towards Automated Monitoring of Parkinson’s Disease Following Drug Treatment, Amir Dehsarvi, Jennifer Kay South Palomares and Stephen Leslie Smith
Improving UWB image reconstruction for breast cancer diagnosis by doing an iterative analysis of radar signals, Raquel Esperanza Patiño Escarcina and Henrry Adrian Torres Quispe
3D Reconstruction of Medical Image Based on Improved Ray Casting Algorithm, Yu Wang and Ning Gong
Extracting and Classifying Salient Fields of View From Microscopy Slides of Tuberculosis Bacteria, Marios Zachariou, Ognjen Arandjelović, Evelin Dombay, Wilber Sabiiti, Bariki Mtafya and Derek James Sloan
A Deep Learning Approach to Detect Ventilatory Over-Assistance, Emmanouil Sylligardos, Markos Sigalas, Stella Soundoulounaki, Katerina Vaporidi and Panos Trahanias
Encoding sensors’ data into images to improve the activity recognition in post stroke rehabilitation assessment, Issam Boukhennoufa, Xiaojun Zhai, Victor Utti, Jo Jackson and Klaus Mcdonald-Maier
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Gareth Howells
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15h30
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Coffee break
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16h
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Special session: Time Series analysis
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Amphi Frézal
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The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier, Matthew Middlehurst and Anthony Bagnall
Temporal disaggregation of the cumulative grass growth, Thomas Guyet, Laurent Spillemaecker, Simon Malinowski and Anne-Isabelle Graux
Feature Subset Selection for Detecting Fatigue in Runners using Time Series Sensor Data, Bahavathy Kathirgamanathan, Cillian Buckley, Brian Caulfield and Padraig Cunningham
Stochastic pairing for contrastive anomaly detection on time series, Guillaume Chambaret, Frédéric Bouchara, Laure Berti Equille, Emmanuel Bruno, Vincent Martin and Fabien Chaillan
Random Dilated Shapelet Transform: A new approach for time series shapelets, Antoine Guillaume, Christel Vrain and Wael Elloumi
TS-QUAD: A Smaller Elastic Ensemble For Time Series Classification With No Reduction In Accuracy, Jason Lines and George Oastler
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Charlotte Pelletier / Maxime Devanne / Germain Forestier / Jonathan Weber
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18h45
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Cruise on river Seine
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20h
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Gala
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3rd June 2022
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Location / session chair
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8h30
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Session 9A Text/Document processing
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Amphi Frézal
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An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention, Qiqiang Lin, Chunyi Wang, Ning Bi, Ching Y Suen and Jun Tan
RDMMLND: A New Robust Deep Model for Multiple License Plate Number Detection in Video, Amish Kumar, Shivakumara Palaiahnakote and Umapada Pal
A New Deep Fuzzy based MSER Model for Multiple Document Images Classification, Kunal Biswas, Shivakumara Palaiahnakote, Sittravell Sivanthi, Umapada Pal, Yue Lu, Cheng-Lin Liu and Mohamad Nizam Bin Ayub
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Laurence Likforman
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8h30
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Session 9B Graph matching and retrieval
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Pavillon 4
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Augment Small Training Sets Using Matching-Graphs, Mathias Fuchs and Kaspar Riesen
QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis, Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot and Isabelle Bloch
UGQE : Uncertainty Guided Query Expansion, Firat Oncel, Mehmet Aygün, Gulcin Baykal and Gozde Unal
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Camille Kurtz
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9h45
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Keynote
Bidyut B. Chaudhuri: Bengali Handwriting Recognition with transformative Generative Adversarial Net (TGAN)
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Amphi Frézal
Ching Suen
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10h45
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Coffee break
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11h15
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Session 10A Medical imaging
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Pavillon 4
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Fourier Domain CT Reconstruction with Complex Valued Neural Networks, Zoltán Domokos and László G. Varga
Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning, Carola Krug and Karl Rohr
An Oculomotor Digital Parkinson Biomarker From a Deep Riemannian Representation, Juan Olmos, Antoine Manzanera and Fabio Martínez
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Isabelle Bloch
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11h15
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Session 10B Deep learning 5
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Amphi Frézal
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Shop Signboards Detection using the ShoS Dataset, Mrouj Almuhajri and Ching Y. Suen
Structure-Aware Photorealistic Style Transfer using Ghost Bottlenecks, Nhat-Tan Bui, Ngoc-Thao Nguyen and Xuan-Nam Cao
Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics, Shitala Prasad, Pankaj Pratap Singh and Piyush Kumar
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Xie Xianghua
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12h15
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Lunch
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13h30
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Session 11A Information extraction
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Amphi Frézal
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From Synthetic to One-shot Regression of Camera-Agnostic Human Performances, Julian Habekost, Kunkun Pang, Takaaki Shiratori and Taku Komura
Robot Path Planning Method Based on Improved Grey Wolf Optimizer, Yilin Su, Yongsheng Li, Lina Ge and Minjun Dai
Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data, Akshaykumar Gunari, Shashidhar Kudari, Ramesh Ashok Tabib and Uma Mudenagudi
An overview of methods and tools for extraction of knowledge for COVID-19 from knowledge graphs, Mariya Evtimova-Gardair and Nédra Mellouli-Nauwynck
Improving drift detection by monitoring ShapleyLoss values, Bastien Zimmermann and Matthieu Boussard
Informativeness In Twitter Textual Contents For Farmer-centric Plant Health Monitoring, Shufan Jiang, Rafael Angarita, Stéphane Cormier, Julien Orensanz and Francis Rousseaux
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Antoine Manzanera
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13h30
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Session 11B NLP / Text recognition
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Pavillon 4
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Application of A* to the Generalized Constrained Longest Common Subsequence Problem with many Pattern Strings, Marko Djukanovic, Dragan Matic, Christian Blum and Aleksandar Kartelj
Malware Detection Using Pseudo Semi-Supervised Learning, Upinder Kaur, Xin Ma, Richard Voyles and Byung-Cheol Min
Using Convolutional Neural Network to Handle Word Shape Similarities in Handwritten Cursive Arabic Scripts of Pashto Language, Muhammad Ismail Shah and Ching Y. Suen
Extraction of entities in health domain documents using recurrent neural networks, Erick Barrios González, Mireya Tovar Vidal, Guillermo De Ita Luna and Jose Alejandro Reyes Ortiz
Is on-line handwriting gender-sensitive? what tells us a combination of statistical and machine learning approaches, Laurence Likforman-Sulem, Gennaro Cordasco and Anna Esposito
Scene Text Recognition: An Overview, Shiqi Liang, Ning Bi and Jun Tan
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Vincent Poulain d’Andecy
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14h45
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Session 12 A Segmentation / Classification 2
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Amphi Frézal
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Remote sensing scene classification based on covariance pooling of multi-layer CNN features guided by saliency maps, Sara Akodad, Lionel Bombrun, Christian Germain and Yannick Berthoumieu
Image Classification via Multi-Branch Position Attention Network, Ke Zhang, Jun Yang, Kun Yuan, Qing-Song Wei and Si-Bao Chen
Robust detection of conversational groups using a voting scheme and a memory process, Victor Fortier, Isabelle Bloch and Catherine Pélachaud
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Romain Bourqui
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14h45
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Session 12 B Transformer and feature computation
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Pavillon 4
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Seeking attention: Using full context transformers for better disparity estimation, Nadir Bengana, Janne Mustaniemi and Janne Heikkilä
Computation of 2D Discrete Geometric Moments through Inclusion-Exclusion, Lidija Comic and Paola Magillo
Hologram detection for identity document authentication, Oumayma Kada, Camille Kurtz, Cuong Van Kieu and Nicole Vincent
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Florence Cloppet
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15h45
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Coffee break
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16h15
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Session 13 Object detection / pose estimation
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Amphi Frézal
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Comparing artificial intelligence algorithms in computer vision: the weapon detection benchmark, Paolo Giglio, Vincenzo Dentamaro, Donato Impedovo and Giuseppe Pirlo
Comparative Study of Activation Functions and their Impact on the YOLOv5 Object Detection Model, John Doherty, Bryan Gardiner, Nazmul Siddique, Emmett Kerr and Sunilkumar Manvi
Adaptive threshold for anomaly detection in ATM radar data streams, Achraf Krim Rahaoui, Théobald De Riberolles and Jiefu Song
PE-former: Pose Estimation Transformer, Paschalis Panteleris and Antonis Argyros
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff and Hamed Tabkhi
Personalized Frame-level Facial Expression Recognition in Video, Andrey Savchenko
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Antoine Tabbone
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16h15
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Special Session: Graphs for Pattern Recognition: Representations, Theory and Applications
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Pavillon 4
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Learning Document Graphs with Attention for Image Manipulation Detection, Hailey James, Otkrist Gupta and Dan Raviv
Improving semantic segmentation with graph-based structural knowledge, Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot and Isabelle Bloch
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification, Jiaqi Zhang, Cheng-Lin Liu and Xiaoyi Jiang
Parallel O(log(n)) Computation of the Adjacency of Connected Components, Majid Banaeyan and Walter G. Kropatsch
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Walter G. Kropatsch / Donatello Conte
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17h15
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Closing of ICPRAI 2022
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Amphi Frézal
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