Dear ipta participants, you can download a pdf version of the program at the following link: images/banners/Ipta-2023-Program4.pdf also a book version of the program: images/banners/Program-final-ipta2023.pdf
IPTA 2023, Conference Program | |||||||
Monday 16/10/2023 | Salle Bastille | ||||||
08:20 | Welcome Desk | Registration | |||||
08:50 | Opening | Conference Chairs | |||||
09:00 | Tutorial 1 | Explainable AI in the problems of Image Classification | |||||
Prof. Jenny Benois-Pineau | |||||||
University of Bordeaux | |||||||
Chairs: Mourad OUSSALAH, Khalifa DJEMAL | |||||||
10:30 | Coffee break | ||||||
10:45 | Tutorial 2 | Retinal images : From biometrie to early diagnosis of ocular pathologies | |||||
Prof. Rostom Kachouri | |||||||
ESIEE Paris | |||||||
Chairs: Rachid JENNANE, Jean-Yves DIDIER | |||||||
12:30 | Lunches | ||||||
14:00 | Session 1 | Pattern recognition and computer vision: I | |||||
Chairs: Rachid JENNANE, Sheli Sinha CHAUDHURI | |||||||
P61 | Exploration of Deep Methods for Cross-Domain Aerial Image Matching | ||||||
Md Shahid, Prajwal VK, Inzamam-ul Haq, Md. Faisal | |||||||
India | |||||||
P14 | A 3D Deep Learning Approach for Meniscus Tear Severity at the Region-level | ||||||
Mohamed BERRIMI, Rachid JENNANE, Mourad OUSSALAH | |||||||
France / Finland | |||||||
P15 | RWU3D: Real World ToF and Stereo Dataset with High Quality Ground Truth | ||||||
Ankita AGRAWAL, Tobias SCHMAHLING, Tobias MULLER | |||||||
Germany | |||||||
P42 | Foliage-Pattern-Identifier: A Hybridized Grey Wolf & Adam optimized Deep Learning architecture designed for identification | ||||||
of similarly patterned leaves | |||||||
Sriparna BANERJEE, SK Daud HASSAN, Suranjana MUKHERJEE, Sheli Sinha CHAUDHURI, Khalifa DJEMAL, Amir Ali FEIZ | |||||||
India / France | |||||||
P47 | VK-SITS: a Robust Time-Surface for Fast Event-Based Recognition | ||||||
Laure ACIN, Pierre JACOB, Camille SIMON-CHANE, Aymeric HISTACE | |||||||
France | |||||||
16:00 | Coffee break | ||||||
16:15 | Session 2 | Medical image identification | |||||
Chairs: Mourad OUSSALAH, Rostm KACHOURI | |||||||
P55 | Early glaucoma screening Decision Tree using in-depth clinical analysis of the optic nerve head | ||||||
Rostom Kachouri, Mohamed Akil, Amed Mvoulana | |||||||
France | |||||||
P39 | Skin Cancer Classification using Levy Stable Based Ensemble and It’s Real-Time Implementation on OpenVINO Toolkit | ||||||
Moumita Hait, Rajani Das, Asfak Ali, Sheli Sinha Chaudhuri, Khalifa Djemal | |||||||
India / France | |||||||
17:15 | Session 3 | Image and video processing, coding and compression: I | |||||
Chairs: Dionysis GOULARAS, Jean-Yves Didier | |||||||
P5 | Automatic Retail Dataset Creation with Multiple Sources of Information Synchronization | ||||||
Ricardo PALACIOS, Bryan PIGUAVE, Jefferson HERNANDEZ, Andres ABAD | |||||||
Equateur | |||||||
P41 | Fuzzy Logic based adaptive weighted despeckling method designed considering inter-pixel scattering similarities | ||||||
Debanka PAL, Sriparna BANERJEE, SK Daud HASSAN, Sheli Sinha CHAUDHURI, Khalifa DJEMAL | |||||||
India / France | |||||||
P25 | Blind Image Separation Using Composite Criteria based on Statistical Information and Sparse Representation | ||||||
Fouad BOUDJENOUIA, Karim ABED-MERAIM, Rachid JENNANE, Aladine CHETOUANI | |||||||
France | |||||||
18:15 | End of the first day | ||||||
Tuesday 17/10/2023 | Salle Trichaud 2 | ||||||
08:20 | Welcome Desk | Registration | |||||
08:30 | Session 4 | Pattern recognition and computer vision: II | |||||
Chairs: Sheli Sinha CHAUDHURI, Jenny BENOIS-PINEAU | |||||||
P17 | Context-Aware Facial Expression Recognition in Group Photos | ||||||
Duygu CAKIR, Nafiz ARICA | |||||||
Turkey | |||||||
P22 | An Order and Difference Local Binary Pattern for Hyperspectral Texture Classification | ||||||
Adam EL BERGUI | |||||||
France | |||||||
P24 | Visualization for Multivariate Gaussian Anomaly Detection in Images | ||||||
Joao Paulo CASAGRANDE BERTOLDO, David ARRUSTICO | |||||||
France | |||||||
P34 | EOD-Net: Enhancing Object Detection in Challenging Weather Conditions Using an Innovative End-to-End Dehazing Network. | ||||||
Sargis HOVHANNISYAN, Hayk GASPARYAN, Sos AGAIAN | |||||||
USA | |||||||
P35 | Leveraging Transfer Learning for Analysing Cattle Front Teat Placement | ||||||
Hina AFRIDI, Mohib ULLAH, Anne Guro LARSGARD, Faouzi ALAYA-CHEKH | |||||||
Norway | |||||||
P53 | Interactive and light approach for near duplicate retrieval in multiple contexts | ||||||
Samuel LOZACHMEUR, Thierry URRUTY, Philippe CARRE | |||||||
France | |||||||
10:30 | Coffee break | ||||||
10:45 | Invited Speaker 1 | Development of Land Cover Monitoring System using Simultaneous Multi-pixel Classification Strategy | |||||
based Deep Neural Architecture | |||||||
Prof. Sheli Sinha CHAUDHURI | |||||||
Jadavpur University, Kolkata, India | |||||||
Chairs: Sos Agaian AGAIAN, Jérôme LAPUYADE-LAHORGUE | |||||||
11:45 | Session 5 | Image forensics and security | |||||
Chairs: Dionysis GOULARAS, Jean-Yves DIDIER | |||||||
P7 | Enhanced DFT-Based Chaotic Image Block Cipher with Several Modes of Operation | ||||||
Mahmoud YASSIN, Ali NASIR, Mostafa TAHA, Naveed IQBAL | |||||||
Saudi Arabia / Canada | |||||||
P30 | Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing | ||||||
Usman MUHAMMAD, Md Ziaul HOQUE, Mourad OUSSALAH, Jorma LAAKSONEN | |||||||
Finland | |||||||
12:30 | Lunches | ||||||
14:00 | Special Session | Signal, Image processing and Machine Learning for Neuroscience | |||||
Chairs: Mouloud ADEL, Régine LE BOUQUIN JEANNÈS, Salah BOURENNANE | |||||||
P9 | Retrospective motion estimation for fetal brain MRI | ||||||
Chloé MERCIER, Sylvain FAISAN, Alexandre PRN, Nadine GIRARD, Guillaume AUZIAS, Thierry CHONAVEL, Francois ROUSSEAU | |||||||
France | |||||||
P21 | Features Extraction on Independent Component Analysis Computed on Interictal Magnetoencephalography to Characterize Epileptic Sources | ||||||
Aurore Semeux-Bernier, Francesca Bonini, Maria Fratello, Elodie Garnier, Samuel Medina Villalon, Jean-Michel Badier, Frédéric Richard, Christian-George Bénar | |||||||
France | |||||||
P31 | Post-processing of light sheet fluorescence microscope images using auto-encoders and Richardson-Lucy deconvolution | ||||||
Adrien Julia, Rabah Iguernaissi, François Michel, Valery Matarazzo, Djamal Merad | |||||||
France | |||||||
P60 | Dynamic Time Warping-based distance for constructing individual brain networks from FDG-PET Images: Application to Alzheimer’s Disease | ||||||
MINH TUAN Pham, Mouloud Adel, Nguyen Linh Trung, Eric Guedj | |||||||
France | |||||||
15:15 | Coffee break | ||||||
15:30 | Session 6 | Machine Learning methods for image and video analysis: I | |||||
Chairs: Pong C Yuen, Mouloud ADEL | |||||||
P6 | Invariant Convolutional Networks | ||||||
Matěj LEBL, Jan FLUSSER | |||||||
Czech Republic | |||||||
P11 | CNN Ensemble Robust to Rotation Using Radon Transform | ||||||
Václav KOSIK, Jan FLUSSER, Tomáš KARELLA | |||||||
Czech Republic | |||||||
P13 | Heuristic hyperparameter choice for image anomaly detection | ||||||
Zeyu JIANG, Joao Paulo CASAGRANDE BERTOLDO, Etienne DENCECIERE | |||||||
France | |||||||
P28 | U-Net with Attention Module: Gland Segmentation in H&E Histopathological Images | ||||||
Zeynep YILDIRIM, Refik SAMET, Emrah HANCER, Nooshin NEMATI, Mohamed Traore MALI | |||||||
Turkey | |||||||
P29 | OSA-NET : An Efficient Convolutional Neural Network for OSA Diagnosis Screening Tool | ||||||
June-Young Park, Tae-Joon Kim, Hye-Rim Shin | |||||||
Korea | |||||||
17:00 | Session 7 | Machine Learning methods for image and video analysis: II | |||||
Chairs: Jérôme LAPUYADE-LAHORGUE, Dionysis GOULARAS | |||||||
P36 | Self-supervised Animal Detection in Indoor Environment | ||||||
Taifour YOUSRA, Adane TAREKGN, Mohib ULLAH, Azeddine BEGHDADI, Faouzi ALAYA-CHEKH | |||||||
France / Norway | |||||||
P40 | Prediction of Head-Neck Cancer Recurrence from PET/CT Images with Havrda-Charvat Entropy | ||||||
Thibaud BROCHET, Jérôme LAPUYADE-LAHORGUE, Li HUA, Pierre VERA, Pierre DECAZES, Su RUAN | |||||||
France | |||||||
P48 | Transformers-Based Neural Network for Cardiac Infarction Segmentation in Delayed-Enhancement MRI | ||||||
Erwan LECESNE, Antoine SIMON, Mireille GARREAU | |||||||
France | |||||||
18:00 | Concert Music meets Science Group |
Restaurant Salle-Blanche | |||||
Artists: | François Pineau-Benois, violon and | Mark Drobinsky, violoncelle | |||||
Program: | W.-A. Mozart : Duo sol Majeur K-423 | G.-F. Haendel-J. Halvorsen : Passacaglia | |||||
Allegro-Adagio-Rondo | C. Saint-Saëns : Introduction et Rondo Cappriccioso, op. 28 | ||||||
C. Saint-Saëns : Danse Macabre, op. 40 | L.-C. Daquin :Coucou | ||||||
J.-B. Rameau : La Poule | N. Paganini : Carnival de Venise | ||||||
18:45 | Cocktail, all participants |
Restaurant Salle-Blanche | |||||
Wednesday 18/10/2023 | Salle Terrasse de Bel Air | ||||||
08:20 | Welcome Desk | Registration | |||||
08:30 | Session 8 | Machine Learning methods for image and video analysis: III | |||||
Chairs: Jenny BENOIS-PINEAU, Rachid JENNANE | |||||||
P43 | MangNet: A Muti-Scale Contextual Information Driven Deep Learning Architecture designed to perform Sunderban Landcover classification | ||||||
SK Daud Hassan, Sriparna Banerjee, Debanka Pal, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz | |||||||
India / France | |||||||
P50 | Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection | ||||||
Meaza Eyakem GEBREAMLAK, Meghna P AYYAR, Jean-Pierre SALMON, Jenny BENOIS-PINEAU, Akka ZEMMARI | |||||||
France | |||||||
P58 | Prediction of Air Pollutant Concentrations in Airport Areas using Machine Learning Architecture | ||||||
Huaijin WANG, Khalifa DJEMAL, Amir Ali FEIZ, Sheli Sinha CHAUDHURI | |||||||
France / India | |||||||
P49 | Effects of Region of Interest Location on Osteoarthritis Detection Using Deep Learning | ||||||
Bouyahmed TINHINANE, Yassine NASSER, Ahmad ALMHDIE, Soraya ALOUI, Rachid JENNANE | |||||||
France | |||||||
10:00 | Coffee break | ||||||
10:15 | Invited Speaker 2 | Annotation-Efficient Deep Learning for Medical Image Segmentation | |||||
Prof. Pong C Yuen | |||||||
Hong Kong Baptist University | |||||||
Chairs: Mouloud ADEL, Sheli Sinha CHAUDHURI | |||||||
11:15 | Session 9 | Applications: I | |||||
Chairs: Djemel ZIOU, Jean-Yves DIDIER | |||||||
P26 | Tobacco Leaf Disease Segmentation based on TDSSNet | ||||||
JinLiang OU, Hong LIN, Zhenping QIANG, ZhuQun CHEN, YanZe ZOU | |||||||
China | |||||||
P23 | Skin Lesion Classification Based on Segmented Image | ||||||
Aleksandra DZIENISZEWSKA, Piotr GARBAT, Ryszard PIRAMIDOWICZ | |||||||
Poland | |||||||
P19 | A deep-learning based algorithm for image reconstruction in Compton tomography | ||||||
Ishak AYAD, Javier CEBEIRO, Cecilia TARPAU, Mai K. NGUYEN | |||||||
France / UK / Argentina | |||||||
P37 | Identifying color space for improved image display | ||||||
Djemel ZIOU | |||||||
Canada | |||||||
12:30 | Lunches | ||||||
14:00 - 18:00 | Free tour of Paris |
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19:00 | Gala Dinner | Dinner on boat (Paris en seine) on the Seine River around 2 hours 7pm - 9pm | WARNING: You should be before 18h45 at the following address: Paris en Seine Pont de Bir-Hakeim l’île aux cygnes 75015 Paris | ||||
Thursday 19/10/2023 | Salle Stage | ||||||
08:20 | Welcome Desk | Registration | |||||
08:30 | Session 10 | Image and video processing, coding and compression: II | |||||
Chairs: Ehsan SEDGH GOOYA, Amir FEIZ | |||||||
P8 | Privacy Preserving Encoder Classifier for Access Control Based on Face Recognition | ||||||
Raghida EL SAJ, Chi-Hieu PHAM, Ehsen SEDGH GOOYA, Ayman AL FALOU, Mohamad KHALIL | |||||||
France / Libanon | |||||||
P27 | Road Condition Detection and Crowdsourced Data Collection for Accident Prevention: A Deep Learning Approach | ||||||
Md Saroar JAHAN, Mominul ISLAM, Md Sanjid HOSSAIN, Mourad OUSSALAH, Jhuma Kabir MIM | |||||||
Finland | |||||||
P32 | Frequency Analysis on Neuromorphic Data Using Discrete Fourier Transform | ||||||
Jens GUNDMARK, Hanna HAMRELL, Johan BERNELAND, David GUSTAFSSON | |||||||
Sweden | |||||||
P59 | VMD Based Powerline Interference Cancellation in ECG Signals | ||||||
Haroon YOUSUF Mir, Omkar SINGH | |||||||
India | |||||||
10:00 | Coffee break | ||||||
10:15 | Invited Speaker 3 | Quaternion Neural Networks: A Novel Framework for Robust Scene Perception in Self-Driving Cars | |||||
Prof. Sos Agaian | |||||||
College of Staten Island, and Graduate Center, USA | |||||||
Chairs: William PUECH, Jenny BENOIS-PINEAU | |||||||
11:15 | Session 11 | Applications: II | |||||
Chairs: Jenny BENOIS-PINEAU, Dionysis GOULARAS | |||||||
P2 | Animated lightning bolt generation using machine learning | ||||||
Henrik Johansson, Prashant Goswami, Abbas Cheddad | |||||||
Sweden | |||||||
P51 | Pest Detection and Identification Guided by Feature Maps | ||||||
Miao Chen, Yanan Chen, Minghui Guo, Jianji Wang | |||||||
China | |||||||
P56 | A Robustness Study of Machine Learning Based Methods for Macula Detection in Pathological Fundus Images | ||||||
Landcover classification | |||||||
Yaroub ELLOUMI, Rostom KACHOURI | |||||||
Tunisia / France | |||||||
12:30 | Lunches and Closing | ||||||