Search Results - "Haridas, T. P. Mithun"

Multiclass Image Segmentation using Deep Residual Encoder-Decoder Models in Highly Turbid Underwater Ambiances by Haridas, T. P. Mithun, Kamal, Suraj, Balakrishnan, Arun A., Thomas, Rosemol, Nezla, N. A., Balakrishnan, Kannan, Supriya, M. H.

“…Underwater environments, especially the coral reefs, are the habitat of many critically endangered species. Extensive monitoring of these aquatic ecosystems is…”
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Sign Language Recognition System Using Deep Neural Network by Suresh, Surejya, Mithun, Haridas T. P., Supriya, M.H.

“…In the current fast-moving world, human-computer- interactions (HCI) is one of the main contributors towards the progress of the country. Since the…”
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Face Recognition based Surveillance System Using FaceNet and MTCNN on Jetson TX2 by Jose, Edwin, M., Greeshma, Haridas, Mithun T. P., Supriya, M.H.

“…Surveillance systems, in spite of the recent advances, still poses many challenges, especially in the field of patrolling or tracking of subjects through CCTV…”
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Dehazing Underwater Images Using Encoder Decoder Based Generic Model-Agnostic Convolutional Neural Network by Thomas, Rosemol, Thampi, Lidiya, Kamal, Suraj, Balakrishnan, Arun A., Mithun Haridas, T. P., Supriya, M. H.

“…Enhancing degraded underwater images is a challenging problem for researchers. Deep learning approaches can significantly provide improvement in image…”
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Analysis of U-Net Based Image Segmentation Model on Underwater Images of Different Species of Fishes by Thampi, Lidiya, Thomas, Rosemol, Kamal, Suraj, Balakrishnan, Arun A., Mithun Haridas, T. P., Supriya, M. H.

“…Image segmentation is one of the key tasks for image processing in robotic vision, navigation, virtual reality, and augmented reality. Segmentation in…”
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Unsupervised Image Segmentation model based on W Net architecture and Conditional Random Field for Underwater Images by Saleh, Esra Sorkty, Mithun Haridas, T.P., Supriya, M.H.

“…Under water imaging has been extensively used in monitoring the marine ecosystems for quite some time. The automated learning systems that are much explored in…”
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Underwater Object Detection model based on YOLOv3 architecture using Deep Neural Networks by Athira, P, Mithun Haridas, T.P., Supriya, M.H.

“…While analysing the strategic areas of underwater surveillance as well as resource exploration or scrutiny, object detection plays a crucial role. The…”
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