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ORCID15th ICMV 2022: Rome, Italy
- Wolfgang Osten, Dmitry Nikolaev, Jianhong Zhou:
Fifteenth International Conference on Machine Vision, ICMV 2022, Rome, Italy, November 18-20, 2022. SPIE Proceedings 12701, SPIE 2023, ISBN 9781510666184
Target Detection and tracking
- Muhammad Ali Farooq, Waseem Shariff, Faisal Khan, Peter Corcoran:
Development, optimization, and deployment of thermal forward vision systems for advance vehicular applications on edge devices. - Shujin Zhao, Chongyang Zhang:
Using attention mechanism and improved YOLOX vehicle taillight detection. - Md. Hedayetul Islam Shovon, Rohit Gopalan, Benjamin Campbell:
A comparative analysis of deep learning algorithms for optical drone detection. - Sai Zhang, Chongyang Zhang:
Human fall detection using spatial temporal graph convolution. - Ali Ahmadinia
, Atika Singh, Kambiz M. Hamadani, Yuanyuan Jiang:
Tracking objects using QR codes and deep learning. - Claudia M. Bett, Max Daiber-Huppert, Karsten Frenner, Wolfgang Osten:
Time-gated-single-pixel-camera: a promising sensor for robust object detection in adverse weather conditions for autonomously driven vehicles. - Giang Hoang, Tuan Dinh Nguyen, Tung Cao Hoang, Son Le Duy, Keisuke Hihara, Yumeka Utada, Akihiko Torii, Naoki Izumi, Nguyen Thanh Thuy, Long Quoc Tran:
F2SD: a dataset for end-to-end group detection algorithms. - Alexander Birk, Karsten Frenner, Wolfgang Osten:
Deep learning based compressed sensing in machine vision: an iterative approach to multi object detection. - Waseem Shariff, Muhammad Ali Farooq, Joe Lemley, Peter Corcoran:
Event-based YOLO object detection: proof of concept for forward perception system.
Image Segmentation
- Santanu Roy, Rahul Khurana, Vikas Jain:
Log-Base2 of Gaussian kernel for nuclei segmentation from colorectal cancer H and E-stained histopathology images. - Irem Ülkü, Erdem Akagündüz:
Semantic segmentation of crop areas in remote sensing imagery using spectral indices and multiple channels. - Chengxi Zeng, Xinyu Yang, Majid Mirmehdi, Alberto M. Gambaruto, Tilo Burghardt:
Video-TransUNet: temporally blended vision transformer for CT VFSS instance segmentation. - Mazhar Hussain, Alessandro Ortis, Riccardo Polosa, Sebastiano Battiato:
Semantic food segmentation for health monitoring. - Muhammad Azam, Derek Jacoby, Yvonne Coady:
City-scale ground segmentation of aerial LiDAR by image-analogous gradients. - Diana Teixeira e Silva, Ricardo P. M. Cruz, Tiago Gonçalves, Diogo Carneiro:
Two-stage semantic segmentation in neural networks.
Image Recognition and Image Model
- Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
Adaptive spatial and temporal aggregation for table tennis shot recognition. - Wiem Abbes, Oussema Thebti, Dorra Sellami:
Ontology based approach using a systemic knowledge model for surface defect classification. - Anjli Varghese, Malathy Jawahar, A. Amalin Prince:
Fine-tuning ConvNets with novel leather image data for species identification. - Md. Farhadul Islam, Sarah Zabeen, Md. Azharul Islam, Fardin Bin Rahman, Anushua Ahmed, Dewan Ziaul Karim, Annajiat Alim Rasel, Meem Arafat Manab:
How certain are tansformers in image classification: uncertainty analysis with Monte Carlo dropout. - Zhaojie Yan:
Reinforcement learning transformer for image captioning generation model. - Lijun He, Jiangtao Luo, Guoliang Xu:
Basketball action recognition algorithm based on global context awareness. - Yuliya D. Vybornova, Dmitry Ulyanov:
Copyright protection for image classification models using pseudo-holographic watermarks. - Wafa Damak, Randa Boukhris Trabelsi, Alima Damak, Dorra Sellami:
Pyramid histograms of oriented gradient for age and gender recognition using finger veins. - Dmitry V. Polevoy, Petr Kulagin, Anastasia Ingacheva, Zh. V. Soldatova, Marina V. Chukalina, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
From tomographic reconstruction to automatic text recognition: the next frontier task for the artificial intelligence.
Intelligent Image Detection and Application
- Chao Meng, Sizhe Lang, Fei Hao, Panyu Li, Jinfei Shi:
A coarse-to-fine angle automatic correction method for glassivation passivation parts wafer. - B. H. Shekar, Shazia Mannan, Habtu Hailu, C. Krishna Mohan, Linga Reddy Cenkeramaddi:
Performance analysis of deep neural networks for COVID-19 detection from chest radiographs. - Ke Hu, Xun Yuan, Song Chen:
Real-time CNN-based keypoint detector with Sobel filter and descriptor trained with keypoint candidates. - Bikash Lamsal, Masumi Yahata, Masato Oka, K. C. Bimal Kumar, Matteo Sardellitti, Naofumi Matsumoto:
Drowsiness and tiredness detection system by observing the visible properties of human eyes. - Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Phuoc-Thao Vo Thi, Hai-Dang Nguyen:
Tiny convolution contextual neural network: a lightweight model for skin lesion detection. - Sara Esam Azmi, Chris Bartels, Zill-e Hussnain, J. A. P. Guelen, Egor Bondarev:
Detection and correction of image distortions induced by parasitic light sensitivity using deep learning methods. - Mia Sandra Nicole Siemon, Kamal Nasrollahi, Thomas B. Moeslund:
A graph-based approach to video anomaly detection from the perspective of superpixels. - Raquel Belo, Joana Rocha, Ana Maria Mendonça, Aurélio Campilho:
An active learning approach for support device detection in chest radiography images. - Ashkan Parsi, David O'Callaghan, Joseph Lemley:
A feature selection method for driver stress detection using heart rate variability and breathing rate. - Paul Kielty, Mehdi Sefidgar Dilmaghani, Cian Ryan, Joe Lemley, Peter Corcoran:
Neuromorphic sensing for yawn detection in driver drowsiness. - Chadia Khraief Ouled Azaiz, Jessica Dacleu Ndengue:
In-cabin occupant monitoring system based on improved Yolo, deep reinforcement learning, and multi-task CNN for autonomous driving.
Digital Image Analysis and Methods
- Xin Liu, Egor Bondarev, Peter H. N. de With:
Floor-plan generation from noisy point clouds. - Francesco Mercaldo, Mario Cesarelli, Fabio Martinelli, Antonella Santone:
Deep learning for blood cells classification and localisation. - Adam Loch, Germain Haessig, Markus Vincze:
Event-based high-speed low-latency fiducial marker tracking. - Konstantin Kobs, Andreas Hotho:
On background bias in deep metric learning. - Anuj Kumar, Sankar Behera, Yamuna Prasad:
Image calibration using ensemble of transformer and CNN-based frameworks. - Alina Sultana, Irina E. Nicolae, Szabolcs Fulop, Ruxandra Aursulesei, David O'Callaghan:
Inducing and obtaining cognitive load ground truth data in automotive scenarios. - Bouthaina Souid, Samah Yahia, Tahani Bouchrika, Olfa Jemai:
Fusion of CNN and feature extraction methods for multiple sclerosis classification. - Pablo Alonso, Jon Ander Iñiguez de Gordoa, Juan Diego Ortega, Sara García, Francisco Javier Iriarte, Marcos Nieto:
Automatic UAV-based airport pavement inspection using mixed real and virtual scenarios.
Computer Vision and Computer Aided imaging
- Nhat-Tan Bui, Hai-Dang Nguyen, Trung-Nam Bui Huynh, Ngoc-Thao Nguyen, Xuan-Nam Cao:
Efficient loss functions for GAN-based style transfer. - Estefanía Rivas Vázquez, Noelia Barreira-Rodríguez, Emilio López-Varela, Manuel G. Penedo:
Deep learning for segmentation of optic disc and retinal layers in peripapillary optical coherence tomography images. - Shuhan Xu, Xuegang Hu:
A lightweight network with multi-scale information interaction attention for real-time semantic segmentation. - Haopeng Li, Muhammad Zulkifal Aziz, Yiyan Hou, Xiaojun Yu:
An extended computer-aided diagnosis system for multidomain EEG classification. - Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev:
Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. - Sara Atito Ali Ahmed, Berrin Yanikoglu:
Relative attributes classification via transformers and rank SVM loss. - Martí Sánchez, Jon Ander Iñiguez de Gordoa, Marcos Nieto, Pablo Carballeira:
Method for the automatic measurement of camera-calibration quality in a surround-view system. - Danil D. Kazimirov, Anastasia Ingacheva, Alexey Buzmakov, Marina V. Chukalina:
Mean projection image application to the automatic rotation axis alignment in cone-beam CT. - Tajamul Ashraf, Naiyer Abbas, Mohammad Haseeb, Nadeem Yousuf, Janibul Bashir:
An integral computer vision system for apple detection, classification, and semantic segmentation. - Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan, Joe Lemley, Peter Corcoran:
Control and evaluation of event cameras output sharpness via bias. - Bilal Ahmad, Ivar Farup, Pål Anders Floor:
3D reconstruction of gastrointestinal regions using shape-from-focus.
Image Classification and Encryption
- Namal Rathnayake, Tuan Linh Dang, Akira Miyazaki, Yukinobu Hoshino:
An efficient approach for age-wise rice seeds classification using SURF-BOF with modified cascaded-ANFIS algorithm. - Amani Fallah, Mourad Zaied:
Image encryption based on Beta Discret Wavelet transform, new Beta wavelet chaotic map, and Latin square. - Arin Zeyneloglu, Sara Atito Ali Ahmed, Berrin Yanikoglu:
Face attribute classification with evidential deep learning. - Hanen Issaoui, Asma ElAdel, Mourad Zaied:
B-CNN: Betadeep Convolutional Neural Network over encrypted data. - Yohanes Nuwara, Wei Kitt Wong, Filbert H. Juwono, Gregory Ollivierre:
Automatic mixed precision and distributed data-parallel training for satellite image classification using CNN.
Image and signal Analysis
- Jeni Shah, Manjunath V. Joshi:
Classification of imbalanced bioassay data with features learned using stacked autoencoder. - Jaya Sharma, Peketi Divya, Sravani Yenduri, B. H. Shekar, Chalavadi Krishna Mohan:
Structural representative network for remote sensing image captioning. - Yaoyu Li, Hua He, Fei Hou:
Crowd-sourced optical indoor positioning updated by WiFi fingerprint localization. - Siaka Konate, Changli Li, Lizhong Xu:
Theoretical evaluation of the performance of ambient LoRa backscatter communication. - Bhargav Patel:
Dual autoencoder-based framework for image compression and decompression. - Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Confidence-aware calibration and scoring functions for curriculum learning. - Mohamed Moustafa, Amr Elrasad, Joseph Lemley, Peter Corcoran:
Dataset creation pipeline for camera-based heart rate estimation.
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