Development of an embedded diagnostic tool for visual misalignment screening by Daniel Soto Rodriguez, Andres Eduardo Rivera Gomez, Ruthber Rodriguez Serrezuela

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Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback by Kevin Muñoz, Mario Chavarria, Luisa Ortiz, Silvan Suter, Klaus Schönenberger, Bladimir Bacca-Cortes

Subjects: “…Convolutional neural networks…”
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Computing the Deep Semantics of Visual Communications by Trpimir Jeronim Ježić, Marko Maričević, Ivana Pavlović, Miroslav Mikota

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Semisupervised Community Preserving Network Embedding with Pairwise Constraints by Dong Liu, Yan Ru, Qinpeng Li, Shibin Wang, Jianwei Niu

“…Experimental results on eight real network datasets show that, comparing with the representative network embedding methods, the node representations learned after incorporating the pairwise constraints can obtain higher accuracy in node clustering task and the results of link prediction, and network visualization tasks indicate that the semisupervised model SMNMF is more discriminative than unsupervised ones.…”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

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A Survey of Visual Sensor Networks by Stanislava Soro, Wendi Heinzelman

“…Meeting these challenges of visual sensor networks requires interdisciplinary approaches, utilizing vision processing, communications and networking, and embedded processing. …”
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JEP-KD: Joint-Embedding Predictive Architecture Based Knowledge Distillation for Visual Speech Recognition by Chang Sun, Bo Qin, Hong Yang

“…Central to JEP-KD is including a generative network within the embedding layer in the knowledge distillation structure, which enhances the video encoder's capacity for semantic feature extraction and brings it closer to the audio features from a pre-trained ASR model's encoder. …”
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Dual-Branch Neural Network for Bridging Semantic Gap in Harmful Meme Detection by Muhammad Shoib Amin, Summaira Jabeen, Ahmad A. Alzahrani, Abdolraheem Khader, Ali Ahmed, Sadaf Hussain

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Deep Object Occlusion Relationship Detection Based on Associative Embedding Clustering by Peiyong Gong, Kai Zheng, Ting Liu, Yi Jiang, Huixuan Zhao

“…The network learns to simultaneously identify all of the targets and occlusions that make up the triplet set and group them together using associative embedding clustering. …”
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An Ensemble of Vision-Language Transformer-Based Captioning Model With Rotatory Positional Embeddings by K. B. Sathyanarayana, Dinesh Naik

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An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…Therefore, an abnormal monitoring method of stage performance based on visual sensor network is proposed, the overall structure of the abnormal monitoring system of stage performance based on the vision sensor network is analyzed, the hardware structure and software composition of the system are designed, and the method of monitoring the abnormal behavior of the system is analyzed emphatically. …”
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A novel wireless visual sensor network protocol based on LoRa modulation by Chunlei Fan, Qun Ding

“…At present, aiming at complexity of topology and limited network coverage for wireless visual sensor networks so that partial application cannot be implemented. …”
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Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication by Zhihua Gan, Shiping Song, Lin Zhou, Daojun Han, Jiangyu Fu, Xiuli Chai

“…This paper combines compressed sensing (CS) and secret image sharing (SIS) to propose a certifiable visually secure image selection encryption. Firstly, a selective encryption based on multi-task convolutional neural network (SE-MTCNN) is presented to distinguish and encrypt the sensitive and non-sensitive information of plain images. …”
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Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

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Making Images Speak: Human-Inspired Image Description Generation by Chifaa Sebbane, Ikram Belhajem, Mohammed Rziza

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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

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A Lightweight Framework for Audio-Visual Segmentation with an Audio-Guided Space–Time Memory Network by Yunpeng Zuo, Yunwei Zhang

“…To address these challenges, this research proposes a lightweight audio-visual segmentation framework incorporating an audio-guided space–time memory network (AG-STMNet). …”
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GRE²-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning by Quanjun Li, Weixuan Li, Xiya Zheng, Junhua Zhou, Wenming Zhong, Xuhang Chen, Chao Long

“…However, most graph neural network models require extensive labelled data, limiting their practical applicability. …”
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Visual Scheme Monitoring of Sensors for Fault Tolerance on Wireless Body Area Networks with Cloud Service Infrastructure by Young-Sik Jeong, Hyun-Woo Kim, Jong Hyuk Park

“…A wireless body area network (WBAN) refers to a topology of miniaturized embedded systems in and on a human body using wireless communication technology. …”
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Adaptive Reversible Data Hiding Scheme Based on Novel Cascading Prediction Error Histogram Shifting Using Decimal Floating Stream by Reza Ghorbandost Soveiri, Maryam Rajabzadeh Asaar, Pouya Derakhshan Barjoei

“…These results show the efficiency of our proposed method based on the embedding capacity and visual quality of the images. …”
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