26th Iberoamerican Congress on Pattern Recognition
27-30 November • Coimbra • Portugal
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: Polivalente |
Date: Monday, 27/Nov/2023 | |
5:00pm - 5:30pm |
5: Coffee Break Location: Polivalente |
5:30pm - 6:30pm |
6: Steering Committee Meeting Location: Polivalente |
Date: Tuesday, 28/Nov/2023 | |
10:30am - 11:00am |
10: Coffee Break Location: Polivalente |
12:00pm - 1:45pm |
12: Lunch Location: Polivalente |
Date: Wednesday, 29/Nov/2023 | |
10:00am - 11:00am |
16: Coffee Break & Posters Session 1: Data Analysis and Machine Learning Location: Polivalente Graph Embedding of almost constant large graphs Uncovering manipulated files using mathematical natural laws Vehicle Re-Identification based on unsupervised domain adaptation by incremental generation of Pseudo-labels How to turn your camera into a perfect pinhole model Abandoned Object Detection Using Persistent Homology Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition YOLOMM – You Only Look Once for Multi-modal Multi-tasking Towards Robust Defect Detection in Casting Using Contrastive Learning DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method Improving Pest Detection via Transfer Learning Single Image HDR Synthesis with Histogram Learning Deblur Capsule Networks |
12:00pm - 2:00pm |
18: Lunch Location: Polivalente |
3:20pm - 4:20pm |
20: Coffee Break & Posters Session 2: Medical Imaging and Healthcare Applications Location: Polivalente Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions Deep learning in the identification of psoriatic skin lesions Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease Depression Detection using Deep Learning and Natural Language Processing Techniques: A comparative study Classify NIR Iris images Under Alcohol/Drugs/Sleepiness Conditions Using a Siamese Network Multi-conformation aproach of ENM-NMA dynamic based descriptors for HIV drug resistance prediction Facial Point Graphs for Sroke Identification Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions Mortality prediction via logistic regression in intensive care unit patients with pneumonia ECG Feature-based Classification of Induced Pain Levels |
Date: Thursday, 30/Nov/2023 | |
10:00am - 11:00am |
24: Coffee Break & Posters Session 3: Computer Vision and AI Applications Location: Polivalente Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry IR-guided energy optimization framework for depth enhancement in Time of Flight imaging Development and Testing of an MRI-Compatible Immobilization Device for Head and Neck Imaging Bipartite Graph Coarsening For Text Classification Using Graph Neural Networks Novelty Detection in Human-Machine Interaction Through a Multimodal Approach Self-Supervised Monocular Depth Estimation on Unseen Synthetic Cameras Presumably Correct Undersampling Time Distributed Multiview Representation for Speech Emotion Recognition But that's not why: Inference adjustment by interactive prototype revision Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network |
12:00pm - 2:00pm |
26: Lunch Location: Polivalente |
3:20pm - 4:20pm |
28: Coffee Break & Posters Session 4: Computer Vision and Image Analysis Location: Polivalente Weeds classification with deep learning: an investigation using CNN, Vision Transformers, Pyramid Vision Transformers, and ensemble strategy Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves. A Self-Organizing Map Clustering Approach to Support Territorial Zoning WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild Face Image Quality Estimation on Presentation Attack Detection Condition Invariance for Autonomous Driving by Adversarial Learning Enhancing Object Detection in Maritime Environments using Metadata |
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