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ORCID3rd IMPROVE 2023: Prague, Czech Republic
- Francisco H. Imai, Cosimo Distante, Sebastiano Battiato:
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, IMPROVE 2023, Prague, Czech Republic, April 21-23, 2023. SCITEPRESS 2023, ISBN 978-989-758-642-2
Invited Speakers
- Elisa Ricci:
Recognizing Actions in Videos Under Domain Shift. IMPROVE 2023: 5 - Daniele Ravì:
Challenges and Opportunities of AI in Medical Imaging. IMPROVE 2023: 7 - Francesco Rundo:
Perceptive Deep Learning in Advanced Driver Assistance Systems. IMPROVE 2023: 9
Papers
- Maximilian Denninger, Rudolph Triebel:
3D Semantic Scene Reconstruction from a Single Viewport. 15-26 - Michael Sildatke, Jan Delember, Bodo Kraft, Albert Zündorf:
TabProIS: A Transfer Learning-Based Model for Detecting Tables in Product Information Sheets. 27-36 - Luca Ciampi
, Carlos Santiago, João Paulo Costeira, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Unsupervised Domain Adaptation for Video Violence Detection in the Wild. 37-46 - Diclehan Ulucan, Oguzhan Ulucan, Marc Ebner:
Multi-Scale Surface Normal Estimation from Depth Maps. 47-56 - Diclehan Ulucan, Oguzhan Ulucan, Marc Ebner:
Intrinsic Image Decomposition: Challenges and New Perspectives. 57-64 - Nicholas Karkut, Alexey Kiriluk, Zihao Zhang, Zhigang Zhu:
Vegetation Coverage and Urban Amenity Mapping Using Computer Vision and Machine Learning. 67-75 - Andrea Caraffa, Michele Ricci, Michela Lecca, Carla Maria Modena, Eugenio Aprea, Flavia Gasperi, Stefano Messelodi:
A Deep Learning Approach for Estimating the Rind Thickness of Trentingrana Cheese from Images. 76-83 - Wissam AlKendi, Paresh Mahapatra, Bassam AlKindy, Christophe Guyeux, Magali Barthès:
Application of Particle Detection Methods to Solve Particle Overlapping Problems. IMPROVE 2023: 84-91 - Ghulam Sakhi Shokouh, Philippe Montesinos, Baptiste Magnier:
An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method. 92-99 - Tokihisa Hayakawa, Keiichi Nakanishi, Ryoya Katafuchi, Terumasa Tokunaga:
Layer-wise External Attention for Efficient Deep Anomaly Detection. 100-110 - Januka Dharmapriya, Lahiru Dayarathne, Tikiri Diasena, Shiromi Arunathilake, Nihal D. Kodikara, Primal Wijesekera:
Emotion Based Music Visualization with Fractal Arts. 111-120 - C. Nagaraju, Mrinmay Sen, C. Krishna Mohan:
Handling Data Heterogeneity in Federated Learning with Global Data Distribution. 121-125 - Julia Richter, Raul Beltrán Beltrán, Guido Köstermeyer, Ulrich Heinkel:
Climbing with Virtual Mentor by Means of Video-Based Motion Analysis. 126-133 - André R. S. Marçal:
Normalised Color Distances. 134-141 - Khleef Almutairi, Samuel Morillas, Pedro Latorre-Carmona:
Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework. 142-149 - Lars Lehmann, Roman Seidel, Gangolf Hirtz:
3D Reference-Based Skeletal Movement Evaluation. 150-155 - Salvatore Giurato, Alessandro Ortis, Sebastiano Battiato:
FUB-Clustering: Fully Unsupervised Batch Clustering. 156-163 - Charles Hamesse, Hiep Luong, Rob Haelterman:
From Depth Sensing to Deep Depth Estimation for 3D Reconstruction: Open Challenges. 164-171 - Francesca Lizzi, Alessandra Retico, Maria Evelina Fantacci:
Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues. 172-179 - Jin Chen, Satesh Ramnath, Tyron Samaroo, Fani Maksakuli, Arber Ruci, E'edresha Sturdivant, Zhigang Zhu:
An Integrated Mobile Vision System for Enhancing the Interaction of Blind and Low Vision Users with Their Surroundings. 180-187 - Bach Ha, Birgit Schalter, Laura White, Joachim Köhler:
Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector. 188-198 - Yücel Çelik, Sezer Gören:
Facial Expression Recognition with Quarantine Face Masks Using a Synthetic Dataset Generator. 199-205 - Morui Zhu, Chang Liu, Tamás Szirányi:
A Global Multi-Temporal Dataset with STGAN Baseline for Cloud and Cloud Shadow Removal. 206-212
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