581 citations · 806 across the 16 of their papers we have counts for
19 papers
WSD: Wild Selfie Dataset for Face Recognition in Selfie Images
Laxman Kumarapu, Shiv Ram Dubey, Snehasis Mukherjee +3
With the rise of handy smart phones in the recent years, the trend of capturing selfie images is observed. Hence efficient approaches are required to be developed for recognising f…
DFW-PP: Dynamic Feature Weighting based Popularity Prediction for Social Media Content
Viswanatha Reddy G, Chaitanya B S N, Prathyush P +4
The increasing popularity of social media platforms makes it important to study user engagement, which is a crucial aspect of any marketing strategy or business model. The over-sat…
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…
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee +1
Micro-expression has emerged as a promising modality in affective computing due to its high objectivity in emotion detection. Despite the higher recognition accuracy provided by th…
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…
diffGrad: An Optimization Method for Convolutional Neural Networks
Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3
Stochastic Gradient Decent (SGD) is one of the core techniques behind the success of deep neural networks. The gradient provides information on the direction in which a function ha…
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…
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…
A Multi-Face Challenging Dataset for Robust Face Recognition
Shiv Ram Dubey, Snehasis Mukherjee
Face recognition in images is an active area of interest among the computer vision researchers. However, recognizing human face in an unconstrained environment, is a relatively les…
Single Image Dehazing Based on Generic Regularity
Kushal Borkar, Snehasis Mukherjee
This paper proposes a novel technique for single image dehazing. Most of the state-of-the-art methods for single image dehazing relies either on Dark Channel Prior (DCP) or on Colo…
SceneEDNet: A Deep Learning Approach for Scene Flow Estimation
Ravi Kumar Thakur, Snehasis Mukherjee
Estimating scene flow in RGB-D videos is attracting much interest of the computer vision researchers, due to its potential applications in robotics. The state-of-the-art techniques…
Human Activity Recognition in RGB-D Videos by Dynamic Images
Snehasis Mukherjee, Leburu Anvitha, T. Mohana Lahari
Human Activity Recognition in RGB-D videos has been an active research topic during the last decade. However, no efforts have been found in the literature, for recognizing human ac…
Automatic Assessment of Artistic Quality of Photos
Ashish Verma, Kranthi Koukuntla, Rohit Varma +1
This paper proposes a technique to assess the aesthetic quality of photographs. The goal of the study is to predict whether a given photograph is captured by professional photograp…
LDOP: Local Directional Order Pattern for Robust Face Retrieval
Shiv Ram Dubey, Snehasis Mukherjee
The local descriptors have gained wide range of attention due to their enhanced discriminative abilities. It has been proved that the consideration of multi-scale local neighborhoo…