6 citations · 6 across the 3 of their papers we have counts for
14 papers · 1 filter
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning
S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari +2
Transfer learning enables solving a specific task having limited data by using the pre-trained deep networks trained on large-scale datasets. Typically, while transferring the lear…
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos
S. H. Shabbeer Basha, Viswanath Pulabaigari, Snehasis Mukherjee
We propose a novel scheme for human action recognition in videos, using a 3-dimensional Convolutional Neural Network (3D CNN) based classifier. Traditionally in deep learning based…
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset
S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey +2
Deep Convolutional Neural Networks (CNN) have evolved as popular machine learning models for image classification during the past few years, due to their ability to learn the probl…
Visual Question Answering using Deep Learning: A Survey and Performance Analysis
Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey +1
The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic `common sense' questions about given im…
A Conditional Adversarial Network for Scene Flow Estimation
Ravi Kumar Thakur, Snehasis Mukherjee
The problem of Scene flow estimation in depth videos has been attracting attention of researchers of robot vision, due to its potential application in various areas of robotics. Th…
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks
Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey +1
Facial expression recognition in videos is an active area of research in computer vision. However, fake facial expressions are difficult to be recognized even by humans. On the oth…