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1901
Novel View Synthesis from Casually Recorded Videos
Published 2022“…Generating new, photorealistic views of a scene given only a single video is a difficult task that computer vision researchers have worked on for decades. This problem has recently seen a resurgence in interest due to its potential application in areas such as virtual reality. …”
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Thesis -
1902
Foreground extraction for freely moving RGBD cameras
Published 2018-04-01“…Although the field of foreground extraction or background subtraction has been explored by the computer vision researcher community since a long time, the depth‐based subtraction is relatively new and has not been extensively addressed as of yet. …”
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Article -
1903
Playing the electric light orchestra--how electrical stimulation of visual cortex elucidates the neural basis of perception
Published 2015“…Vision research has the potential to reveal fundamental mechanisms underlying sensory experience. …”
Journal article -
1904
Instance Segmentation Method of User Interface Component of Games
Published 2020-09-01“…It can also help vision researchers who should extract semantic information from game image data.…”
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Article -
1905
Relationship between Fractal Dimension and Spectral Scaling Decay Rate in Computer-Generated Fractals
Published 2016-07-01“…However, the standard approach of vision researchers is to measure β of the surface after 2-dimensional Fourier decomposition rather than along a straight-line path. …”
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Article -
1906
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
Published 2021-11-01“…Recently, the outbreak of the COVID-19 disease caused many deaths. Computer vision researchers support medical doctors by employing deep learning techniques on medical images to diagnose COVID-19 patients. …”
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Article -
1907
Real-Time Face Recognition Civil Servant Presence System Using DNN Algorithm
Published 2022-10-01“…Facial recognition has become a growing topic among Computer Vision researchers because it can solve real-life problems, including during the COVID-19 pandemic. …”
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Article -
1908
DeepGlobe 2018: A challenge to parse the earth through satellite images
Published 2020“…We observed that satellite imagery is a rich and structured source of information, yet it is less investigated than everyday images by computer vision researchers. However, bridging modern computer vision with remote sensing data analysis could have critical impact to the way we understand our environment and lead to major breakthroughs in global urban planning or climate change research. …”
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Article -
1909
Improving self-supervision in video representation learning
Published 2021“…With the rapid advancement of deep learning techniques in computer vision, researchers have achieved high performance in video related downstream tasks such as action classification and action detection. …”
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Thesis-Master by Research -
1910
A Review of Homography Estimation: Advances and Challenges
Published 2023-12-01“…Finally, we discuss current challenges and future research directions, providing a reference for computer vision researchers and engineers.…”
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Article -
1911
Performance analysis of hybrid deep learning framework using a vision transformer and convolutional neural network for handwritten digit recognition
Published 2024-06-01“…Hence computer vision researchers have recently become interested in Vision Transformers (ViTs) and Multilayer Perceptrons (MLPs). …”
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Article -
1912
Dynamic Edge Convolutional Neural Network for Skeleton-Based Human Action Recognition
Published 2023-01-01“…To provide accessible, intelligent, and efficient remote access such as the internet of things, rehabilitation, autonomous driving, virtual games, and healthcare, human action recognition (HAR) has gained much attention among computer vision researchers. Several methods have already been addressed to ensure effective and efficient action recognition based on different perspectives including data modalities, feature design, network configuration, and application domains. …”
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Article -
1913
Understanding mental fatigue and its detection: a comparative analysis of assessments and tools
Published 2023-08-01“…This review is intended for, but not limited to, mental health professionals, digital health scientists, vision researchers, and behavioral scientists.…”
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Article -
1914
Performance comparison on algorithms of image resizing
Published 2013“…Smart mobile phone users can zoom in or zoom out an image with two fingers for better browsing experience. In computer vision, researchers always resize the images to a fixed size for better analyzing. …”
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Final Year Project (FYP) -
1915
Background Invariant Faster Motion Modeling for Drone Action Recognition
Published 2021-08-01“…Visual data collected from drones has opened a new direction for surveillance applications and has recently attracted considerable attention among computer vision researchers. Due to the availability and increasing use of the drone for both public and private sectors, it is a critical futuristic technology to solve multiple surveillance problems in remote areas. …”
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Article -
1916
A novel hybrid face mask detection approach using Transformer and convolutional neural network models
Published 2023-03-01“…Transformer is a type of deep learning that is based on the self-attention mechanism, and its strong capabilities have attracted the attention of computer vision researchers who apply this advanced neural network architecture to visual data as it can handle long-range dependencies between input sequence elements. …”
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Article -
1917
Deep learning-based information retrieval with normalized dominant feature subset and weighted vector model
Published 2024-01-01“…Finding a meaningful text record in an archive might be challenging for computer vision researchers. Most image searches still employ the tried and true language-based techniques of query text and metadata. …”
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Article -
1918
The UK clinical eye research strategy: refreshing research priorities for clinical eye research in the UK
Published 2024“…Results: In total, 2240 people responded to the survey (mean age, 59.3 years), from across the UK. 68.1% were female. 68.2% were patients, 22.3% healthcare professionals or vision researchers, 7.1% carers, and 2.1% were charity support workers. …”
Journal article -
1919
Investigations into high resolution imaging of the aqueous outflow system and cornea
Published 2018“…Advance imaging modalities are necessary for the accurate and early detection of glaucoma and corneal diseases. It enables vision researchers and clinicians to understand the disease state fundamentals and pathology, which are critical for follow-up and subsequent treatment. …”
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Thesis-Doctor of Philosophy -
1920