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
7 papers · 1 filter
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…
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
Achintya kr. Sarkar, Zheng-Hua Tan
In this letter, we propose a vocal tract length (VTL) perturbation method for text-dependent speaker verification (TD-SV), in which a set of TD-SV systems are trained, one for each…
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl +6
Along with COVID-19 pandemic we are also fighting an `infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further…
UIAI System for Short-Duration Speaker Verification Challenge 2020
Md Sahidullah, Achintya Kumar Sarkar, Ville Vestman +5
In this work, we present the system description of the UIAI entry for the short-duration speaker verification (SdSV) challenge 2020. Our focus is on Task 1 dedicated to text-depend…
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…
PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation
Kancharagunta Kishan Babu, Shiv Ram Dubey
In many real world scenarios, it is difficult to capture the images in the visible light spectrum (VIS) due to bad lighting conditions. However, the images can be captured in such…
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…