activity
20172024
most citedPosture and sequence recognition for Bharatanatyam dance performances using machine learning approach

9 citations · 21 across the 7 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CL20203 cited

Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos

Ananda Das, Partha Pratim Das

Topical Segmentation poses a great role in reducing search space of the topics taught in a lecture video specially when the video metadata lacks topic wise segmentation information…

cs.SD2020

Knowledge Distillation for Singing Voice Detection

Soumava Paul, Gurunath Reddy M, K Sreenivasa Rao +1

Singing Voice Detection (SVD) has been an active area of research in music information retrieval (MIR). Currently, two deep neural network-based methods, one based on CNN and the o…

cs.CL20208 cited

Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data

Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2

The abstract of a scientific paper distills the contents of the paper into a short paragraph. In the biomedical literature, it is customary to structure an abstract into discourse…

cs.MM2020

Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning

Tanwi Mallick, Patha Pratim Das, Arun Kumar Majumdar

Indian Classical Dance is an over 5000 years' old multi-modal language for expressing emotions. Preservation of dance through multimedia technology is a challenging task. In this p…

cs.SD20201 cited

Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques

Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar

Bharatanatyam, an Indian Classical Dance form, represents the rich cultural heritage of India. Analysis and recognition of such dance forms are critical for the preservation of cul…

physics.med-ph2020

Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images

Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das +5

We report a model to predict patient's radiological response to curative radiation therapy (RT) for non-small-cell lung cancer (NSCLC). Cone-Beam Computed Tomography images acquire…