64 citations · 135 across the 14 of their papers we have counts for
3 papers · 1 filter
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
Large datasets often have unreliable labels-such as those obtained from Amazon's Mechanical Turk or social media platforms-and classifiers trained on mislabeled datasets often exhi…
Effective Object Tracking in Unstructured Crowd Scenes
Ishan Jindal, Shanmuganathan Raman
In this paper, we are presenting a rotation variant Oriented Texture Curve (OTC) descriptor based mean shift algorithm for tracking an object in an unstructured crowd scene. The pr…
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks
Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal +1
The task of classifying videos of natural dynamic scenes into appropriate classes has gained lot of attention in recent years. The problem especially becomes challenging when the c…