581 citations · 758 across the 11 of their papers we have counts for
11 papers
Hater-O-Genius Aggression Classification using Capsule Networks
Parth Patwa, Srinivas PYKL, Amitava Das +2
Contending hate speech in social media is one of the most challenging social problems of our time. There are various types of anti-social behavior in social media. Foremost of them…
Deep Model Compression based on the Training History
S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari +2
Deep Convolutional Neural Networks (DCNNs) have shown promising performances in several visual recognition problems which motivated the researchers to propose popular architectures…
SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!
Chhavi Sharma, Deepesh Bhageria, William Scott +5
Information on social media comprises of various modalities such as textual, visual and audio. NLP and Computer Vision communities often leverage only one prominent modality in iso…
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…
A Light weight and Hybrid Deep Learning Model based Online Signature Verification
Chandra Sekhar V., Anoushka Doctor, Prerana Mukherjee +1
The augmented usage of deep learning-based models for various AI related problems are as a result of modern architectures of deeper length and the availability of voluminous interp…
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure
Chandra Sekhar, Prerana Mukherjee, D. S. Guru +1
Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics. In this manuscript, owing to large in…
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification
Chandra Sekhar, Prerana Mukherjee, Devanur S Guru +1
Online signature verification (OSV) is one of the most challenging tasks in writer identification and digital forensics. Owing to the large intra-individual variability, there is a…
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification
S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1
The Convolutional Neural Networks (CNNs), in domains like computer vision, mostly reduced the need for handcrafted features due to its ability to learn the problem-specific feature…
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
S H Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu +3
Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis. It would facilita…