Recent Publications

More Publications

. Compact Representation Learning using Class Specific Convolution Coders - Application to Medical Image Classification. IEEE International Symposium on Biomedical Imaging (ISBI, 2020), 2020.

. LEt-SNE: A hybrid approach to data embedding and visualization of hyperspectral imagery. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, 2020), 2020.

. CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing. Pattern Recognition Letter (PRL) (Acepted), 2019.

. Unsupervised Domain Adaptation for Remote Sensing Images Using Metric Learning and Correlation Alignment . National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) 2019, 2019.

. An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification. IEEE International Conference on Computer Vision workshop (ICCVw - CroMol), 2019.

. Unsupervised Multi-Source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. German Conference of Pattern recognition (GCPR) 2019, 2019.

. Semantics Guided Deep Unsupervised Image Segmentation. International Conference on Image Analysis and Processing (ICIAP) 2019, 2019.

. Single Image Super-Resolution for Optical Satellite Scenes using Deconvolution Network. International Conference on Image Analysis and Processing (ICIAP) 2019, 2019.

. Generalized Zero-shot Learning using Open Set Recognition. British Machine Vision Conference (BMVC) 2019, 2019.

. Class Reconstruction Driven Adversarial Domain Adaptation for Hyperspectral Image Classification. Iberian Conference on Pattern Recognition and Image Analysis (IbPria, 2019, LNCS), 2019.

Professional Service

  • Referee Service

    • IEEE Signal Processing Letters
    • IEEE Transactions on Image Processing
    • IEEE Transactions on Geoscience & Remote Sensing
    • IEEE Transactions on Systems Man and Cybernatics
    • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • IEEE Geoscience and Remote Sensing Letters
    • SPIE Journal of Applied Remote Sensing
    • Remote Sensing Letters (Taylor & Francis)
    • Neural Computing & Applications (Springer)
    • Journal of Indian Society of Remote Sensing (Springer)
    • Computer Vision and Image Understanding (Elsvier)
    • Optik (Elsvier)
    • Pattern Recognition (Elsvier)
    • International Journal for Light and Electron Optics (Elsvier)
    • IEEE International Conference on Pattern Recognition (ICPR), 2018
    • National Conference on Communication (NCC) - 2014, 2018 India
    • ACM Indian Conference on Graphics Vision and Image Processing (ICVGIP), 2018, India
    • National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2019
    • International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS), 2018, Greece
    • Proposals under Science & Engineering Research Board (SERB), DST, GoI
    • MS/PhD Thesis review - IIT kanpur, IIT Kharagpur, IIRS, NIT etc.
  • Conference and Symposium Service

    • Program Committee - 11th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2019, Hubli, India, 2019.
    • Program Committee - IEEE ICCV workshop in Scene Graph Analysis, Seoul, 2019.
    • Program Committee - 11th Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), 2018, Hyderabad, India, 2018.
    • Program Committee: Young Researchers’ Symposium at CODS-COMAD 2018 , Goa India, January, 2018.
    • Program Committee: International Workshop on Foundations of Big Data Computing (in conjunction with HiPC), 2017, Jaipur, India, December, 2017.
    • Program Committee: Mining Intelligence and Knowledge Exploration (MIKE), 2017, Hyderabad, India, December, 2017.
    • Program Committee: International Conference on Computer Vision and Image Processing (CVIP), 2017, Noida, India, September, 2017.
    • Program Committee: Tenth International Conference on Contemporary Computing (IC3 2017), JIIT, Noida, Noida, India, August 10 - 12, 2017.
    • Program Committee: Research Scholar and Alumni Symposium (RSAS~2014), IIT Bombay, Mumbai, India, March 7 - 8, 2014.
    • Technical Committee: National Conference on Application of Geoinformatics in Rural, Urban & Climatic Studies (Geomatrix~2014), IIT Bombay, Mumbai, India, September 6-7, 2014.
    • Local Organizing Committee: Indian Conference of Computer Vision Graphics and Image Processing (ICVGIP 2012), IIT Bombay, Mumbai, India, December 16 - 19, 2012.
    • Local Organizing Committee: International Conference on Geospatial Technologies and Applications (Geomatrix 2012), IIT Bombay, Mumbai, India, February 26 - 29, 2012.
    • Session Chair for Pattern Recognition: Annual Conference of American Society of Photogrammetry and Remote Sensing (ASPRS), 2012 in Sacramento, California, USA.
  • Other Positions of Responsibility

    • Coordinator of TechConnect 2019
    • Member of the committee responsible for setting up Machine Learning Center at IIT Bombay.
    • Faculty in charge for M-Tech 2019-21 at CSRE, IIT Bombay.
    • Served as the Departmental PG Commiittee member for CSRE, IIT Bombay for the academic year 2018-19.
    • Served as the Internship coordinator for CSRE, IIT Bombay for the academic year 2018-2019.
    • Served as the Departmental academic programme committee member, IIT Roorkee for the academic year 2017-2018.
    • Served as the institute level research scholar academic council member at IIT Bombay for the academic year 2013-2014.
    • Served as the departmental Ph.D. representative for Centre of Studies in Resources Engineering (CSRE) for the academic year 2011-2012.

Projects

Domain adaptation for visual classification

Here we explore the representation learning strategies for the unsupervised domain adaptation.

Graph CNN in remote sensing

Here we explore the the graph CNN model for multi-label classification and image retrieval.

Knowledge distillation for multi-modal model learning

Here we explore the knowledge distillation strategy for multi-modal classification of remote sensing data.

Multi-label classification

Here we explore the the graph CNN model for multi-label classification and image retrieval.

Multi-task learning

Here we explore the the graph CNN model for multi-label classification and image retrieval.

Robust deep representation learning

Here we explore the the graph CNN model for multi-label classification and image retrieval.

Zero-shot learning for visual recognition

Here we explore the end-to-end paradigms for zero-shot visual recognition.

Students

The following list of students have worked / have been working towards their BTP, MTP or PhD with me:

  • PhD:

    • Mr. Shivam Pandey (CSRE, IITB)
    • Mr. Sayan Rakshit (CSRE, IITB)
    • Mr. Debabrata Pal (CSRE, IITB)
    • Mr. Ankit Jha (CSRE, IITB)
    • Miss Ushasi Chaudhuri (CSRE, IITB, with Prof. Avik Bhattacharya)
    • Mr. Omkar Gune (EE, IITB, with Prof. Subhasis Chaudhuri)
    • Mr. Saurabh Kumar (EE, IITB, with Prof. Subhasis Chaudhuri)
    • Miss Renuka (CSE, IITB, with Prof. Kulkarni)
    • Miss Swati Gupta (CSE, IITR, with Prof. Sugata Gangopadhayay)
  • M-Tech:

    • Pankaj (CSE, IITB, with Prof. Shiva)
    • Gyan (CSE, IITB, with Prof. Shiva)
    • Aditya (CSE, IITB, with Prof. Shiva)
    • Puneet (CSRE, IITB)
    • Koushik (CSRE, IITB)
    • Miss. Amrata (CSRE, IITB)
    • Mr. Megh Shukla (CSRE, IITB, with Prof. B. K. Mohan)
    • Miss Nagma Khan (EE, IITB, with Prof. Subhasis Chaudhuri)
    • Miss Renuka Sharma (CSE, IITR)
    • Miss Manpreet Kaur (CSE, IITR)
    • Miss Deepika Kadam (CSE, IITR)
    • Miss Sheetal Yadav (CSE, IITR)
    • Mr. Bhupendra Meena (CSE, IITR)
  • B-Tech:

    • Mr. Satyam (EE, IITB, with Prof. Subhasis Chaudhuri)
    • Mr. Nimit (EE, IITB, with Prof. Subhasis Chaudhuri)
    • Mr. Ashwini (EE, IITB, with Prof. Subhasis Chaudhuri)
    • Mr. Akashdeep Goel (CSE, IITR)
    • Mr. Sanatan Sharma (CSE, IITR)
    • Mr. Avishek jai Singh (CSE, IITR)
    • Mr. Gurwinder Atwal (CSE, IITR)
    • Mr. Saurabh Goyal (CSE, IITR)
    • Mr. Hanumant Mittal (CSE, IITR)
    • Mr. Sanat Sain (CSE, IITR)
    • Mr. Anushrut Gupta (CSE, IITR)
    • Mr. Rahul Kumar (CSE, IITR)

Apart, a large number of awesome summer interns have worked with me.

Teaching

*** I am offering “Machine Learning for Remote Sesing II (GNR 638)” for Autumn, 2019. It will be a full-fledged Deep Learning for Computer Vision course.

At CSRE, IIT Bombay, I have taught the following courses:

  • Machine Learning for Remote Sensing I (Introductory machine learning with with focus to remote sensing/computer vision applications)
  • Data analytics
  • Image Processing (Minor)

At CSE, IIT Roorkee, I taught the following courses:

  • Compiler Design (Spring, 2016)
  • Computer Vision (Autumn, 2017)
  • Data Structure and Algorithm (Spring, 2017)
  • Machine Learning (Spring, 2017)
  • Data Structure Lab

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