Efficient Hybrid Supervision for Instance Segmentation in Aerial Images by Linwei Chen, Ying Fu, Shaodi You, Hongzhe Liu

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Identification of phytoplankton communities, water quality and eutrophication status in the reservoir of Karun 4 by Nader Cheraghpour Ahmadmahmoudi, Mohsen Saadat, Rasool Zamani-ahmadmahmoodi, Avid Avokh

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Promoting a city-river balance within neighborhoods in transition along the Rhone by Sara Formery, Martine Laprise, Emmanuel Rey

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Antiprotozoal Effect of Snake Venoms and Their Fractions: A Systematic Review by Zainab U. Abdullahi, Salihu S. Musa, Daihai He, Umar M. Bello

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Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware by Mateusz Piechocki, Marek Kraft, Tomasz Pajchrowski, Przemyslaw Aszkowski, Dominik Pieczynski

“…The vision-based people-counting is a well-known area of computer vision research. In addition, with rapid development in the artificial intelligence and IoT sectors, power-limited and resource-constrained devices like single-board computers or microcontrollers are able to run even such sophisticated algorithms as neural networks. …”
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Human iPSC- and Primary-Retinal Pigment Epithelial Cells for Modeling Age-Related Macular Degeneration by Cody R. Fisher, Mara C. Ebeling, Zhaohui Geng, Rebecca J. Kapphahn, Heidi Roehrich, Sandra R. Montezuma, James R. Dutton, Deborah A. Ferrington

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Attention-Based Monocular Depth Estimation Considering Global and Local Information in Remote Sensing Images by Junwei Lv, Yueting Zhang, Jiayi Guo, Xin Zhao, Ming Gao, Bin Lei

“…Monocular depth estimation using a single remote sensing image has emerged as a focal point in both remote sensing and computer vision research, proving crucial in tasks such as 3D reconstruction and target instance segmentation. …”
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Optical-Quality Analysis and Defocus-Curve Simulations of a Novel Hydrophobic Trifocal Intraocular Lens by Łabuz G, Yan W, Khoramnia R, Auffarth GU

“…Apple Center for Vision Research, Department of Ophthalmology, University Hospital Heidelberg, Heidelberg, 69120, GermanyCorrespondence: Grzegorz Łabuz, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 400, Heidelberg, 69120, Germany, Tel +49 6221 56-6613, Fax +49 6221 56-8229, Email Grzegorz.Labuz@med.uni-heidelberg.dePurpose: The optical function of a novel refractive-diffractive trifocal intraocular lens (IOL) was tested in vitro to provide preclinical metrics that predict postoperative performance and may guide patient selection.Methods: Fundamental optical characteristics of a trifocal hydrophobic-acrylic IOL with a C-loop haptic configuration (AT ELANA 841P, Carl Zeiss Meditec) were assessed using a fully automated optical test device under both monochromatic and polychromatic conditions combined with increased or compensated spherical aberration (SA). …”
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DNA double-strand break-free CRISPR interference delays Huntington’s disease progression in mice by Jung Hwa Seo, Jeong Hong Shin, Junwon Lee, Daesik Kim, Hye-Yeon Hwang, Bae-Geun Nam, Jinu Lee, Hyongbum Henry Kim, Sung-Rae Cho

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Conjunctive Visual Processing Appears Abnormal in Autism by Ryan A. Stevenson, Ryan A. Stevenson, Ryan A. Stevenson, Ryan A. Stevenson, Ryan A. Stevenson, Aviva Philipp-Muller, Naomi Hazlett, Ze Y. Wang, Jessica Luk, Jong Lee, Karen R. Black, Lok-Kin Yeung, Fakhri Shafai, Magali Segers, Susanne Feber, Susanne Feber, Morgan D. Barense, Morgan D. Barense

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A novel face recognition method based on fusion of LBP and HOG by Ting Chen, Tao Gao, Shuying Li, Xi Zhang, Jinpei Cao, Dachun Yao, Yh Li

“…Abstract As one of the hot topics in the field of computer vision research, face recognition technology has received significant attention due to its potentiality for a wide range of applications in government as well as commercial purposes. …”
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Next-Generation Nanomedicine Approaches for the Management of Retinal Diseases by Binapani Mahaling, Shermaine W. Y. Low, Sanjay Ch, Utkarsh R. Addi, Baseer Ahmad, Thomas B. Connor, Rajiv R. Mohan, Swati Biswas, Shyam S. Chaurasia

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Learning to solve problems in computer vision with synthetic data by Jaroensri, Ronnachai.

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What and Where: A Bayesian inference theory of visual attention by Chikkerur, Sharat, Serre, Thomas R., Tan, Cheston, Poggio, Tomaso A.

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VisionBlocks: A Social Computer Vision Framework by Bendale, Abhijit, Chiu, Kevin Geeyoung, Marwah, Kshitij, Raskar, Ramesh

“…We discuss different application scenarios where such study will be useful and argue its benefit for computer vision research community. We believe that enabling users with ability to create application will be first step towards creating social computer vision applications and platform.…”
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Assessing the Quality of Actions by Pirsiavash, Hamed, Torralba, Antonio, Vondrick, Carl Martin

“…While promising, our method is still a long way to rivaling the performance of expert judges, indicating that there is significant opportunity in computer vision research to improve on this difficult yet important task.…”
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Effects of stimulus spatial resolution on SSVEP responses under overt and covert attention by Phyo Wai, Aung Aung, Lee, Jun Cong, Yang, Tao, So, Rosa, Guan, Cuntai

“…There is a promising potential to employ the SSVEP paradigm in with vision research and clinical use, for instance, for visual field assessment. …”
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Experimental study on scene recognition and multiple road lane marks detection based on machine learning methods by Zhou, Xiaosong

“…Semantic segmentation has been a popular topic in the field of computer vision research. The main purpose of semantic segmentation is to label pixels of interest in an image with corresponding categories of the objects. …”
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Assessment tool for visual perception deficits in cerebral visual impairment: development and normative data of typically developing children by Vancleef, K, Janssens, E, Petré, Y, Wagemans, J, Ortibus, E

“…</p><br/> <p><strong>Method:</strong><br/> Test development reflected cross‐talk between vision research and clinical relevance for CVI. The Children's Visual Impairment Test for 3‐ to 6‐year‐olds (CVIT 3–6) includes 14 subtests covering four domains of visual perception: Object Recognition, Degraded Object Recognition, Motion Perception, and Global–Local Processing. …”

A comprehensive review towards segmentation and detection of cancer cell and tumor for dynamic 3D reconstruction by Zainal Rasyid Mahayuddin, Saif, A F M Saifuddin

“…Overall reviews proposed in this paper have been extensively studied in various research papers which can significantly contribute to computer vision research and can be potential for future development and direction for future research.…”
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