Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]
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Updated
Feb 2, 2019 - Python
Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]
The codebase for Zoom Out-and-In Network with Recursive Training for Object Proposal
Image classification svm with simple neural network.
Region Proposal generation on images using clustering in Pointcloud - Currently only for Pedestrians
Adaptive Region Proposal for Object Tracking
Zero-shot object detection with CLIP, utilizing Faster R-CNN for region proposals.
Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.
Deep learning project
Propose a probability function to estimate the possibility of a person appearing in a region of image
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