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DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
Estimating the number of clusters and cluster structures in unlabeled, complex, and high-dimensional datasets (like images) is challenging for traditional clustering algorithms.
Multi Modal Semantic Segmentation using Synthetic Data
Semantic understanding of scenes in three-dimensional space (3D) is a quintessential part of robotics oriented applications such as autonomous driving as it provides geometric cues such as size, orientation and true distance of separation to objects which are crucial for taking mission critical decisions.
Blur-Invariant Deep Learning for Blind-Deblurring
In this paper, we investigate deep neural networks for blind motion deblurring.
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