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Dr. Murari Mandal

School of Computing
National University of Singapore (NUS)
Address: NCRiPT Lab, I4 Building #04-03
3 Research Link, NUS Singapore, 117602
E-mail: murari@comp.nus.edu.sg , murarimandal.cv@gmail.com
Research Collaborators: Prof. Mohan Kankanhalli, Prof. Jussi Keppo

Personal Website: https://murarimandal.github.io

About Me     Education     Publications     Google Scholar     DBLP     Researchgate     Github     Publons     LinkedIn

RESEARCH INTERESTS

• Deep Learning      • Data Valuation      • Image and Video Analytics      • Drone based Scene Analysis: Object Detection, Remote Sensing     

RECENT

2021

2021: Awarded PhD Degree!

2020

November 2020: Paper accepted in IEEE Transactions on Image Processing (IF: 9.34)
October 2020: Paper accepted in IEEE Transactions on Intelligent Transportation System (IF: 6.319)
September 2020: Joined National University of Singapore as a Postdoctoral Researcher
August 2020: PhD Thesis Submitted!
July 2020: Paper accepted in ACM Multimedia (ACM MM-2020)
Served as a Reviewer for BMVC-2020 (Reviewed 4 papers)
Lecturer at CSE Department, IIIT Kota, Jan 2020-May 2020

2019

Served as a Reviewer for WACV-2020 (Reviewed 5 papers)
Invited Reviewer for IEEE Transactions on Image Processing (TIP), IEEE Transactions on Industrial Informatics (TII) and IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Oct 2019: Paper accepted in IEEE Signal Processing Letters (Journal, IF:3.2)
Sep 2019: Paper accepted in WACV 2020
June 2019: Paper accepted in IEEE Geoscience and Remote Sensing Letters (Journal: IF:3.5)
May 2019: Paper accepted in CVPR Workshops (AI City Challenge) 2019.
April 2019: Paper accepted in 26th IEEE International Conference on Image Processing (ICIP) 2019 in Taipei, Taiwan.
February 2019: Paper accepted in IET Image Processing (Journal, IF:2.0)
January 2019: Poster accepted at NVIDIA GTC Conference, Silicon Valley, US.

2018

July 2018: Paper accepted in IET Computer Vision (Journal, IF:1.7)
April 2018: Paper accepted in 24th IEEE International Conference on Pattern Recognition (ICPR) 2018.

SELECTED PROJECTS (Updated info @ https://murarimandal.github.io)

MotionRec: Deep Unified Framework for Moving Object Recognition

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3DFR for Scene Independent Change Detectcion

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AutoSteer: 3D feature learning with deep heterogeneous priors for Autonomous Steering

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AVDNet: Vehicle Detection from Aerial View

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SSSDet: Lightweight Vehicle Detector for UAVs

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ANTIC: Change Detection in Videos

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Change Detection in Dynamic Background Videos

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PUBLICATIONS (Updated list @ https://murarimandal.github.io)

JOURNALS

1. Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb, “3DCD: A Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos,” IEEE Transactions on Image Processing, 2020. (IF: 9.34), PDF
2. Murari Mandal, Santosh Kumar Vipparthi,"Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN based Change Detection," IEEE Transactions on Intelligent Transportation, 2020. (IF: 6.319), PDF
3. Murari Mandal,Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, “3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1882-1886, 2019. (IF: 3.105)
4. Murari Mandal,Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi, “AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data,” IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 3, pp. 494-498, 2020 (IF: 3.833)
5. Murari Mandal, Santosh Kumar Vipparthi, Mallika Chaudhary, Subramanian Murala, Anil Balaji Gonde, S. K. Nagar, "ANTIC: ANTithetic Isomeric Cluster Patterns for Medical Image Retrieval and Change Detection," IEEE/IET Computer Vision, vol. 13, no. 1, pp. 31-43, 2019. (IF: 1.516)
6. Murari Mandal, Monu Verma, Sonakshi Mathur, Santosh Vipparthi, Subrahmanyam Murala, Kranthi Deveerasetty, "RADAP: Regional Adaptive Affinitive Patterns with Logical Operators for Facial Expression Recognition,"IEEE/IET Image Processing, vol. 13, no. 5, pp. 850-861, 2019 (IF: 1.995), PDF

CONFERENCES

1. Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi, "MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos," ACM Multimedia (ACM MM-2020), Seattle, US, 2020. (Core - A*)
2. Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran, Santosh Kumar Vipparthi, "MotionRec: A Unified Deep Framework for Moving Object Recognition," IEEE Winter Conference on Applications of Computer Vision (WACV-2020), Snowmass Village, Colorado, US, 2020. (Core - A)
3. Murari Mandal, Manal Shah, Prashant Meena, Santosh Kumar Vipparthi, "SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes," 26th IEEE International Conference on Image Processing (ICIP-2019), Taipei, Taiwan, 2019. (Core - B)
4. Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal , Santosh Kumar Vipparthi "Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos," CVPR Workshops (CVPRW-2019), pp. 13-20, Long Beach, CA, USA, 2019. (Core - B)
5. Shivangi Dwivedi, Murari Mandal, Shekhar Yadav, Santosh Kumar Vipparthi "3D CNN with Localized Residual Connections for Hyperspectral Image Classification," 4th International Conference on Computer Vision and Image Processing (CVIP-2019), Jaipur, India, 2019.
6. Murari Mandal, Prafulla Saxena, Santosh Kumar Vipparthi, Subrahmanyam Murala, "CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction," 24th IEEE International Conference on Pattern Recognition (ICPR-2018), Beijing, China, pp. 2468-2473, 2018. (Core - B)

AWARDS

• Received IEEE Signal Processing Society (SPS) Travel grant (1000 USD) to present my paper at ICIP-2019 in Taipei, Taiwan.
• Received the International Travel Support (ITS) grant from Science and Engineering Research Board, Department of Science & Technology, Government of India (SERB-DST).
• Awarded a four-year Institute Research Fellowship for pursuing PhD at the Malaviya National Institute of Technology, Jaipur by Ministry of Human Resource Development (MHRD), Government of India. [Jan 2016 - Jan 2020]

EDUCATION

PhD (Jan 2016 - August 2020)

Vision Intelligence Lab
Computer Science and Engineering
Malaviya National Institute of Technology Jaipur, India
Supervisor: Dr. Santosh Kumar Vipparthi

Postgraduate Degree, M. E. (July 2013 - May 2015)

Computer Science and Engineering
Thapar University, Patiala, India

Undergraduate Degree, B. E. (Hons.) (July 2007 - May 2011)

Computer Science and Information Science
Birla Institute of Technology and Science Pilani (BITS Pilani), Pilani Campus, Rajasthan, India

ABOUT ME

Currently, I am a Post Doctoral researcher in the School of Computing, NUS Singapore where I am working with Prof. Mohan Kankanhalli and Prof. Jussi Keppo in the N-Cript Lab. I received my PhD from Malaviya National Institute of Technology Jaipur. Previously to that I received my bachelor and masters degree in Computer Science from BITS Pilani (2011) and Thapar University (2015).

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