1 code implementation • 17 Dec 2016 • Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal, Utpal Garain
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.
no code implementations • 13 Jul 2017 • Snehasis Banerjee, Tanushyam Chattopadhyay, Arpan Pal, Utpal Garain
Several pattern recognition principles and state of art (SoA) ML techniques are followed to design the overall approach for the proposed automation.
no code implementations • 10 May 2020 • Puneet Gupta, Brojeshwar Bhowmick, Arpan Pal
We alleviate these issues by proposing a novel face video based HR monitoring method MOMBAT, that is, MOnitoring using Modeling and BAyesian Tracking.
no code implementations • 30 May 2020 • Dibyendu Roy, Arijit Sinharay, Brojeshwar Bhowmick, Raj Rakshit, Tapas Chakravarty, Arpan Pal
In this paper, we propose a novel non-contact vibration measurement system that is competent in estimating linear and/or rotational motions of machine parts.
no code implementations • 28 Jun 2020 • Hrishav Bakul Barua, Chayan Sarkar, Achanna Anil Kumar, Arpan Pal, Balamuralidhar P
In this work, we focus on a telepresence robot that can be used to attend a meeting remotely with a group of people.
no code implementations • 23 Aug 2020 • Pradip Pramanick, Chayan Sarkar, Balamuralidhar P, Ajay Kattepur, Indrajit Bhattacharya, Arpan Pal
In this work, we provide a non-trivial method to combine an NLP engine and a planner such that a robot can successfully identify tasks and all the relevant parameters and generate an accurate plan for the task.
no code implementations • 11 Jan 2021 • Soma Bandyopadhyay, Anish Datta, Arpan Pal
Proposed algorithm aims to address the large computing time issue of hierarchical clustering as learned latent representation AECS has a length much less than the original length of time-series and at the same time want to enhance its performance. Our algorithm exploits Recurrent Neural Network (RNN) based under complete Sequence to Sequence(seq2seq) autoencoder and agglomerative hierarchical clustering with a choice of best distance measure to recommend the best clustering.
no code implementations • 12 Jul 2021 • Soma Bandyopadhyay, Anish Datta, Arpan Pal
Time-series generated by end-users, edge devices, and different wearables are mostly unlabelled.
no code implementations • 12 May 2022 • Soma Bandyopadhyay, Anish Datta, Shruti Sachan, Arpan Pal
Consistent groups aid in identifying variations in driving patterns of individuals captured in the dataset.
no code implementations • CVPR 2022 • Gaurab Bhattacharya, Nikhil Kilari, Jayavardhana Gubbi, Bagya Lakshmi V ., Arpan Pal, Balamuralidhar P . TCS Research, India
Traditional fashion search platforms incorporate product metadata between the query products and the products to be retrieved.
no code implementations • 9 Aug 2023 • Soumadeep Saha, Utpal Garain, Arijit Ukil, Arpan Pal, Sundeep Khandelwal
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise.
no code implementations • 21 Oct 2023 • Aditya Kapoor, Vartika Sengar, Nijil George, Vighnesh Vatsal, Jayavardhana Gubbi, Balamuralidhar P, Arpan Pal
Tracking of inventory and rearrangement of misplaced items are some of the most labor-intensive tasks in a retail environment.