Search Results - pavan+turaga

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Polynomial Implicit Neural Representations for Large Diverse Datasets
Deep learning-based generative models are an active area of research with numerous advancements in recent years. Most widely, generative models are based on convolutional neural network (CNN) architectures. In signal and image processing tasks, such as superresolution, 3D modeling, and more, implicit neural representations (INRs) can represent an image...
Published: 2/9/2024   |   Inventor(s): Pavan Turaga, Rajhans Singh, Ankita Shukla
Keywords(s): Algorithm Development, Imaging, Machine Learning, Neural Computing, PS-Computing and Information Technology, Recognition imaging
Category(s): Computing & Information Technology, Physical Science
Improving Shape Awareness and Interpretability in Deep Networks
Advances in deep learning have resulted in state-of-the-art performance for a wide variety of computer vision tasks. The large quantity of training data and high computation resources have made convolutional neural networks (CNNs) a common backbone model for many of these tasks, including image classification, object detection, segmentation, unsupervised...
Published: 2/9/2024   |   Inventor(s): Pavan Turaga, Rajhans Singh, Ankita Shukla
Keywords(s): Algorithm Development, Imaging, Machine Learning, Neural Computing, PS-Computing and Information Technology, Recognition imaging
Category(s): Computing & Information Technology, Physical Science
Adaptive Video Subsampling for Energy-Efficient Object Detection
Background A critical performance requirement for embedded computer vision is energy-efficiency in order to preserve battery life for mobile and autonomous platforms. In particular, the image sensor and readout can take up a significant amount of energy in a computer vision pipeline, particularly if the sensor is capturing and processing video data...
Published: 2/23/2023   |   Inventor(s): Suren Jayasuriya, Sameeksha Katoch, Pavan Turaga, Andreas Spanias, Divya Mohan
Keywords(s):  
Category(s): Physical Science, Computing & Information Technology, Energy & Power, Imaging, Intelligence & Security
Shading Prediction Methods for Solar Arrays Using New Vision and Machine Learning Methods
Background Despite the upward trends in the solar array industry, adoption of solar technology by main power grids has been challenged by environmental fluctuations. In particular, the shading of arrays caused by cloud cover leads to inconsistent and thus unreliable energy generation. However, effective sensing and characterization of cloud movements...
Published: 2/23/2023   |   Inventor(s): Sameeksha Katoch, Pavan Turaga, Andreas Spanias, Cihan Tepedelenlioglu
Keywords(s): Networks, IT, Software and Communication
Category(s): Physical Science, Alternative Energy, Computing & Information Technology, Energy & Power, Wireless & Networking, Environmental, Imaging
Algorithm for Reconstruction-Free Image Recognition from Compressive Sensors
Compressed Sensing (CS) technologies are becoming increasingly important in the signal processing field. Sensors in CS do not output the signal of interest, but instead, output a vector of measurement composed of mixtures of the signal’s components. This compressively sensed data can be reconstructed, and the results may be used for purposes such...
Published: 2/23/2023   |   Inventor(s): Henry Braun, Pavan Turaga, Andreas Spanias, Cihan Tepedelenlioglu
Keywords(s):  
Category(s): Computing & Information Technology