1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Aalborg UniversityDK2 papers
- Indian Institute of Information Technology AllahabadIN2 papers
- Indian Institute of Technology MadrasIN2 papers
- Arizona State UniversityUS1 paper
- Birla Institute of Technology and Science - Hyderabad CampusIN1 paper
- Birla Institute of Technology and Science, PilaniIN1 paper
- Central Research Institute for Dryland AgricultureIN1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Indian Institute of Information Technology Dharwad1 paper
- Indian Institute of Information Technology LucknowIN1 paper
- Indian Institute of Technology DelhiIN1 paper
- Indian Institute of Technology DharwadIN1 paper
11 papers · 1 filter
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
CH Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey +1
This paper proposes an Information Bottleneck theory based filter pruning method that uses a statistical measure called Mutual Information (MI). The MI between filters and class la…
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…
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…
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy, Gopal Krishna, Shiv Ram Dubey +1
Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional Neural Net…
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…
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…
Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval
Shiv Ram Dubey, Soumendu Chakraborty
The convolutional neural networks (CNN), including AlexNet, GoogleNet, VGGNet, etc. extract features for many computer vision problems which are very discriminative. The trained CN…
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…
Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval
Shiv Ram Dubey
Face recognition is still a very demanding area of research. This problem becomes more challenging in unconstrained environment and in the presence of several variations like pose,…