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The University of Texas at Austin
- Austin
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16:14
(UTC -05:00) - https://krishnasrikard.github.io/
- in/krishna-srikar-durbha
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AutoML-Models-for-Wireless-Signals-Classification-and-effectiveness-against-Adversarial-Attacks
AutoML-Models-for-Wireless-Signals-Classification-and-effectiveness-against-Adversarial-Attacks PublicComparing and understanding the performance of AutoML models with state-of-the-art models on wireless signal classification and their vulnerability towards transfer-based Projected Gradient Descent…
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Optical-Flow-Less-Video-Frame-Interpolation
Optical-Flow-Less-Video-Frame-Interpolation PublicA modified light weight VRT is used to predict intermediate frames by looking only the previous frames or following causality without any use optical flow estimation techniques.
Python
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SR-DDPM
SR-DDPM PublicForked from shreshthsaini/SR-DDPM
Denoising diffusion probabilistic model for low level vision task. Developing a novel DM for super resolution task; later to be extended for general vision tasks such as deblurring, dehazing, rain …
Jupyter Notebook
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Saliency-Maps-NR-IQA-Classification-Models
Saliency-Maps-NR-IQA-Classification-Models PublicUnderstanding the similarities in perception of image between humans and computer vision classification models using saliency maps between NR IQA models and classification models.
Python
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White-Box-Cartoonization
White-Box-Cartoonization PublicExperiments with two different models mainly VGG19 and VIT-16 which are used for calculating Structure and Content Losses in White Box Cartoonization and understanding the performance of the cartoo…
Python 1
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Effects-of-reduced-frame-corruptions-on-video-classification
Effects-of-reduced-frame-corruptions-on-video-classification PublicExploring the vulnerability of CNN-RNN based video classification model towards reduced frames natural and adversarial perturbations.
Jupyter Notebook 1
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