activity
20172020
most citedPosture and sequence recognition for Bharatanatyam dance performances using machine learning approach

9 citations · 18 across the 5 of their papers we have counts for

collaborators

8 papers

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…

physics.med-ph2020

Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images

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

Prediction of survivability in a patient for tumor progression is useful to estimate the effectiveness of a treatment protocol. In our work, we present a model to take into account…

cs.CV20199 cited

Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach

Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar

Understanding the underlying semantics of performing arts like dance is a challenging task. Dance is multimedia in nature and spans over time as well as space. Capturing and analyz…