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ORCID14th ICVS 2023: Vienna, Austria
- Henrik I. Christensen
, Peter Corke, Renaud Detry, Jean-Baptiste Weibel, Markus Vincze:
Computer Vision Systems: 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings. Lecture Notes in Computer Science 14253, Springer 2023, ISBN 978-3-031-44136-3 - Qiao Chen, Charalambos Poullis:
Tracking and Identification of Ice Hockey Players. 3-16 - Mohamed Kas, Yassine Ruichek, Youssef El Merabet, Rochdi Messoussi:
Dedicated Encoding-Streams Based Spatio-Temporal Framework for Dynamic Person-Independent Facial Expression Recognition. 17-30 - Wiktor Mucha, Martin Kampel:
Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognition. 31-40 - Julian Strohmayer, Martin Kampel:
WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32. 41-50 - Noha Sarhan, Jan M. Willruth, Simone Fritnrop:
PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition. 51-62 - Alexander Kapitanov, Karina Kvanchiani, Alexander Nagaev, Elizaveta Petrova:
Slovo: Russian Sign Language Dataset. 63-73 - Gengqian Yang, Benjamin Metcalfe, Robert J. Watson, Adrian N. Evans:
Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches. 74-87 - Jianhua Huang, Kuan Huang, Meng Xu, Feifei Liu:
CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images. 91-101 - Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica:
Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation. 102-111 - Ivan Vykopal, Lukas Hudec, Martin Kveton, Ondrej Fabian, Andrea Felsoova, Wanda Benesova:
DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection. 112-122 - Jose Sosa, Sharn Perry, Jane E. Alty, David C. Hogg:
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior. 125-136 - Patrick Schmidt, Ronja Güldenring, Lazaros Nalpantidis:
SIFT-Guided Saliency-Based Augmentation for Weed Detection in Grassland Images: Fusing Classic Computer Vision with Deep Learning. 137-147 - Justin Le Louëdec, Grzegorz Cielniak:
Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking. 148-158 - Georgios Zampokas, Ioannis Mariolis, Dimitrios Giakoumis, Dimitrios Tzovaras:
Residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-Stem Paradigm. 159-168 - Salim Khazem, Jérémy Fix, Cédric Pradalier:
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation. 169-180 - Yushuo Niu, Ethan Chadwick, Anson W. K. Ma, Qian Yang:
Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing. 183-196 - Vanessa Staderini, Tobias Glück, Roberto Mecca, Philipp Schneider, Andreas Kugi:
Spatial Resolution Metric for Optimal Viewpoints Generation in Visual Inspection Planning. 197-207 - Syed Ibrahim Hassan, Susan McKeever, Kieran Feighan, David Power, Dympna O'Sullivan:
A Deep Learning-Based Object Detection Framework for Automatic Asphalt Pavement Patch Detection Using Laser Profiling Images. 208-219 - Alessio Roda, Alessandro Carfì, Fulvio Mastrogiovanni:
A Flexible Approach to PCB Characterization for Recycling. 220-229 - Jochen Lindermayr, Çagatay Odabasi, Markus Völk, Yitian Chen, Richard Bormann, Marco F. Huber:
SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates. 230-242 - Tom Sanitz, Christian Wilms, Simone Frintrop:
Small, but Important: Traffic Light Proposals for Detecting Small Traffic Lights and Beyond. 243-254 - Lars De Pauw, Tom Jacobs, Toon Goedemé:
MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms. 255-269 - Chafic Abou Akar, Anthony Semaan, Youssef Haddad, Marc Kamradt, Abdallah Makhoul:
Mixing Domains for Smartly Picking and Using Limited Datasets in Industrial Object Detection. 270-282 - Nikolaus Salvatore, Justin Fletcher:
Dynamic Vision-Based Satellite Detection: A Time-Based Encoding Approach with Spiking Neural Networks. 285-298 - Julian Höfer, Tim Hotfilter, Fabian Kreß, Chen Qiu, Tanja Harbaum, Jürgen Becker:
A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object Detection. 299-309 - Lukas Knak, Florian Jordan, Tim Nickel, Werner Kraus, Richard Bormann:
Towards Food Handling Robots for Automated Meal Preparation in Healthcare Facilities. 310-322 - Konstantin Röhrl, Dominik Bauer, Timothy Patten, Markus Vincze:
TrackAgent: 6D Object Tracking via Reinforcement Learning. 323-335 - Ivano Donadi, Emilio Olivastri, Daniel Fusaro, Wanmeng Li, Daniele Evangelista, Alberto Pretto:
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition. 336-349 - Youssef Bouaziz, Eric Royer, Guillaume Bresson, Michel Dhome:
A Uniform Distribution of Landmarks for Efficient Map Compression. 350-362 - Olusesi Ayobami Meadows, Ahmed Tijani Salawudeen, Oreofe Ajayi:
A Novel Approach: Fourier Series Parameterization and Support Vector Regression for 2D Laser SLAM with Closed Shape Features. 363-373 - Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal:
Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. 377-390 - Harshit Shah, Aravindhan G, Pavan Kulkarni, Yuvaraj Govindarajulu, Manojkumar Parmar:
Data-Free Model Extraction Attacks in the Context of Object Detection. 391-402 - Tibor Sloboda, Lukas Hudec, Wanda Benesova:
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network. 403-411 - Nicholas Baraghini, Pablo Eugui, Laurin Ginner, Nicole Brosch:
Improving 3D Inline Computational Imaging of Textureless Objects Using Pattern Illumination. 412-421 - Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier:
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval. 422-431 - Qiuxiao Chen, Hung-Shuo Tai, Pengfei Li, Ke Wang, Xiaojun Qi:
BEVSeg: Geometry and Data-Driven Based Multi-view Segmentation in Bird's-Eye-View. 432-443 - Jerod Weinman, Serge J. Belongie, Stella Frank:
Descriptive Attributes for Language-Based Object Keypoint Detection. 444-458
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