Dr.Athira. M. Nambiar

Dr.Athira. M. Nambiar

Other Details

Courses

• Computer Vision, Estimation and Classification, Biometrics, Network Science: Models and Distributed Algorithms, Computational Statistics and Data Mining, Problem Solving and Programming, Statistical Signal Processing and Multime- dia, Pattern Recognition for Computer Security, Information Theory and Coding, Transmission of Multimedia signals over wireless networks, Applied Algebra, Cryptography.

Research Interests

• Computer Vision, Deep Learning, Machine Learning, Biometrics, Image pro- cessing, Vision for surveillance, Soft-biometrics, Gait recognition, Multimedia database security, Distributed Source Coding.

Selected Publications

• Arulkumar Subramaniama, Jayesh Vaidya, Muhammed Abdul Majeed Ameen, Athira Nambiar, Anurag Mittal “Co-segmentation inspired Attention Module for Video-based Computer Vision Tasks”, Computer Vision and Image Understanding.(Under review )
• Tincy Thomas C, Athira M Nambiar and Anurag Mittal, “Metric-based and Library-based Few-Shot Learning approaches for Underwater Sonar Image Classification”, IEEE Journal of Oceanic Engineering, October 2021. (Under review )
• Gouthaman KV, Athira Nambiar, Kancheti Sai Srinivas and Anurag Mittal, “Linguistically-aware attention for reducing the semantic gap in vision-language tasks”, Pattern Recognition,Vol 112, April 2021, 107812.
• Athira Nambiar, Alexandre Bernardino and Jacinto C. Nascimento, “Gait- based Person Re-identification: A Survey ”, ACM Computing Surveys (CSUR), Vol 52 (2019).
• Athira Nambiar and Alexandre Bernardino,“A Context-Aware Method for View-Point Invariant Long-Term Re-identification”, Book Chapter, Inter- national Joint Conference on Computer Vision, Imaging and Computer Graphics, Communications in Computer and Information Science, vol 983, Springer, Cham (2019) pp. 329-351.
• Athira Nambiar, Alexandre Bernardino and Jacinto Nascimento,“Shape context for soft biometrics in person re-identification and database retrie- val”, Pattern Recognition Letters, Vol 68 (2015) pp. 297-305.
• Athira Nambiar, Matteo Taiana, Dario Figueira, Jacinto Nascimento and Alexandre Bernardino, “A Multi-camera video dataset for research on High Definition surveillance”, International Journal of Machine Intelli- gence and Sensory Signal Processing, Special Issue on Signal Processing for Visual Surveillance, Inderscience Journal, vol 1 (2014), pp. 267-286.

Academic Experiences

• Assistant Professor,SRMIST,Kattankulathur,May 2013 to till date
• Assistant Professor,K.L.N College of Engineering,October 2006 to May 2013
• Lecturer, VEL SRI RANGARAJAN SAKUNTHALA COLLEGE OF MULTIMEDIA,May 2005 to October 2006.

Workshops, Seminars and Conferences Attended

• Ashish Vaigandla, Athira Nambiar and Suresh Rajendran, “Efficient Ship Detection in Synthetic Aperture Radar Images Using Deep Learning Tech- niques”, ASME 41st International Conference on Ocean, Offshore Arctic Engineering (OMAE2022)(work in progress).
• Sinzith Tatikonda, Athira Nambiar and Anurag Mittal, “Face Age Pro- gression With Attribute Manipulation”, https://arxiv.org/abs/2106.07696 (under review )
• Tincy Thomas C, Athira M Nambiar and Anurag Mittal, “A GAN-based Super Resolution Model for Efficient Image Enhancement in Underwater Sonar Images”, OCEANS 2022.
• Divya. K. Raman, Athira Nambiar and Anurag Mittal, “Domain Adap- tive Knowledge Distillation for Driving Scene Semantic Segmentation”, Autonomous Vehicle Vision 2021 (AVVision’21) workshop, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vi- sion, 2021.
• Arulkumar Subrahmaniyam, Athira Nambiar and Anurag Mittal, “Co- segmentation Inspired Attention Networks for Video-based Person Re- identification”, International Conference on Computer Vision, Seoul, South Korea, 2019.
• Athira Nambiar, Alexandre Bernardino and Jacinto Nascimento, “Cross- context analysis for long-term view-point invariant Person Re-identification via soft-biometrics using Depth sensor”, International Conference on Com- puter vision Theory and Applications, Madeira, Portugal, 2018.
• Athira Nambiar, Alexandre Bernardino, Jacinto C. Nascimento and Ana Fred, “Context-Aware Person Re-identification in the Wild via fusion of Gait and Anthropometric features”, 2nd International Workshop on Bio- metrics in the Wild (BWild), in conjunction with IEEE Conference on Automatic Face and Gesture Recognition, Washington DC, USA, 2017.
• Athira Nambiar, Alexandre Bernardino, Jacinto C. Nascimento and Ana Fred, “Context-aware Person Re-identification via Fusion of Anthropome- tric and Gait Features”, One day BMVA Technical Meetings- Security and Surveillance, British Computer Society, London, UK, 2017.
• Athira Nambiar, Alexandre Bernardino, Jacinto C. Nascimento and Ana Fred, “Towards view-point invariant Person Re-identification via fusion of Anthropometric and Gait Features from Kinect measurements”, VISAPP, 12th International Conference on Computer vision Theory and Applica- tions, Porto, Portugal, 2017.
• Athira Nambiar, Alexandre Bernardino and Jacinto Nascimento, “Person Re-identification based on Human query on Soft Biometrics using SVM Regression”, VISAPP -11th International Conference on Computer vision Theory and Applications, Rome, Italy, 2016.
• Athira Nambiar, Jacinto C. Nascimento Alexandre Bernardino, and Jose Santos-Victor, “Person Re-identification in frontal gait sequences via His- togram of Optic flow Energy Image”, Advanced Concepts for Intelligent Vision Systems ACIVS, 2016.
• Matteo Taiana, Dario Figueira, Athira Nambiar, Jacinto Nascimento and Alexandre Bernardino, “Towards Fully Automated Person Re-Identification”, VISAPP 2014, 9th International Conference on Computer vision Theory and Applications, Lisbon, Portugal, January, 2014.
• Dario Figueira, Matteo Taiana, Athira Nambiar, Jacinto Nascimento and Alexandre Bernardino, “The HDA+ dataset for research on fully automa- ted re-identification systems”, Proc. of ECCV2014 Workshop on Visual Surveillance and Re-identification, Zurich, Switzerland, 2014.
• Athira Nambiar, Paulo Lobato Correia and Luis Ducla Soares, “Frontal Gait Recognition Combining 2D and 3D Datav, Proc ACM Workshop on Multimedia and Security - MMSec, Conventry, United Kingdom, 2012.
• Athira Nambiar, Marco Tagliasacchi and Enrico Magli, “Secure image databases through distributed source coding of SIFT descriptors”, IEEE International Workshop on Multimedia Signal Processing (MMSP), Banff, Canada, 2012.
• Athira.M.Nambiar, Asha Vijayan and Aishwarya Nandakumar, “Wireless Intrusion Detection Based on Different Clustering Approaches”, Procee- dings of the 1st Amrita ACM-W Celebration on Women in Computing in India, Coimbatore, India, 2010.

Professional experience

• Assistant Professor (Senior Grade)August 2021- till present https://www.amrita.edu/faculty/athira-m-nambiar, Computer Science Engineering, School of Engineering, Amrita Vishwa Vidyape- etham, Chennai, India.
• Institute Post-Doctoral FellowJuly 2018- July 2021 Computer Vision Lab, Dept. of Computer Science & Engg., IIT Madras, Chen- nai, India. Development of Computer Vision algorithms based on Deep Learning tech- niques.  Supervisor: Prof. Anurag Mittal
• Invited External ResearcherOctober 2017- May 2018 The Computer and Robot Vision Laboratory (VisLab), Institute for Systems and Robotics (ISR-Lisboa), Instituto Superior Tecnico, University of Lisbon, Portugal Online collaborative assistance and research carried out remotely from In- dia. Multiple paper submissions/ revisions and HDA dataset & Vislab KS20 dataset management. Supervisor: Prof. Alexandre Bernardino
• Doctoral ResearcherApril 2014- September 2017 The Computer and Robot Vision Laboratory (VisLab), Institute for Systems and Robotics (ISR-Lisboa), Instituto Superior Tecnico, University of Lisbon, Portugal Thesis work: Towards automatic long term Person Re-identification System in video surveillance Supervisor: Prof. Alexandre Bernardino. Doctoral grant SFRH/BD/97258/2013, funded by the Portuguese Science and Technology Foundation, FCT (Fundação para a Ciência e a Tecnolo- gia).
• AHA- Augmented Human Assistance: Research on the development of novel robotic assistance platforms to support healthy lifestyle, sustain active ageing, and support those with motor deficits. Supervisor: Prof. Alexandre Bernardino. International consortium of research institutions and industry, funded pro- ject CMUP-ERI/HCI/0046/2013.
• Research associateJanuary 2013- April 2014 The Computer and Robot Vision Laboratory (VisLab), Institute for Systems and Robotics (ISR-Lisboa), Instituto Superior Tecnico, University of Lisbon, Portugal. High Definition Analytics (HDA) : Development of new dataset, algorithms and methods to address important video analytics challenges, in the context of new technology high resolution multi-megapixel cameras.,Supervisor: Prof. Alexandre Bernardino. Partially funded by Portuguese Government through project High Defi- nition Analytics (HDA), QREN – I&D em Co-Promoção nr. 13750.
• Research associateSeptember 2011- March 2012 Multimedia Signal Processing Group, Instituto de Telecommunicacoes, Instituto Superior Tecnico, University of Lisbon, Portugal
• BIOSEC (Secure Multimodal Biometric Recognition System): Theoretical understanding and the creation of secure Biometric systems, and the deve- lopment of a frontal gait recognition system using Kinect depth sensor. Supervisor: Prof. Paulo Lobato Correia. Funded by FCT (Fundação para a Ciência e a Tecnologia) for project PTDC/EEA-TEL/098755/2008.
• Master ResearcherSeptember 2010- June 2011 Image Processing group, Politecnico Di Torino, Italy Thesis work: Secure Databases through Distributed Source Coding of SIFT descriptors. Supervisor: Prof. Enrico Magli. Master student exchange programme funded by Erasmus Mundus scho- larship by European Union (India4EU).

Achievements and Awards

• Institute Post-Doctoral fellowship from Indian Institute of Technology, Madras for the period 2018-2020.
• Ph.D. with distinction and honours, from University of Lisbon, Portugal, which is the highest grade (“Cum Laude”) only awarded to the top 20% of students.
• Recipient of Doctoral grant from FCT (Fundação para a Ciência e Tec- nologia, the Portuguese government entity for science and technology) worth 36030 (grant no: SFRH/BD/97258/2013), during the period of doctoral studies. (September 2014-September 2017).
• Recipient of research scholarship (5880 ), under the scope of the Euro- pean Commission project POETICON++ (FP7-ICT-288382) (March 2014-August 2014).
• Recipient of Instituto Superioiro Tecnico research scholarship (11760) under the scope of the project HDA- High Definition Analytics, QREN – I&D em Co-Promoção 13750 (January2013-February 2014).
• Recipient of research grant from FCT (Fundação para a Ciência e a Tec- nologia, a Portuguese government entity for science and technology) fun- ded project BIOSEC, PTDC/EEA-TEL/098755/2008 (9800 ). (September 2011-June 2012).
• Recipient of Erasmus Mundus scholarship (10000 ) under External Co- operation Window India4EU, for Master student exchange programme in Politecnico di Torino, Turin, Italy (August 2010-June 2011).
• B.Tech University First Rank holder in Electronics & Communication, Govt. college of Engineering, Kannur University, Kerala, India.
• Recipient of Graduate Aptitude Test in Engineering (GATE) scho- larship, awarded by MHRD, All India Council for Technical Education, Govt. of India.
• Ranked 16th in Kerala state level Secondary School Examination, 2003 (out
• of 800,000 students).
• State-level selection in National Talent Search Exam (NTSE exam) by NCERT, 2003.
• Selected for the Gifted Children Programme scholarship, conducted by the Govt. Of India, and the state level achiever of National Talent Search Examination.
• Third rank holder of Progressive Curriculum Management (PCM) scho- larship examination in Kerala state level, India.
• University level champion in Flute competition for consecutive 4 years and three times winner in school youth festival, at state level.
• Prizes for many painting and music competitions.
• Stood first in many quiz and essay writing competitions as well as I.Q.tests.
• Best student award at school level as well as selected as the school leader thrice.

Memberships

• Member in IEEE: #97275778
• ResearcherID: S-6243-2017 ScopusID: 36642667900
• ORCID: 0000-0002-4957-5804
• My profile on: LinkedIn
• My profile on Google Scholar