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Murari Mandal (PhD Scholar)

Dept. of Computer Science & Engineering
Malaviya National Institute of Technology, Jaipur
Vision Intelligence Lab, JLN Marg, Jaipur, Rajasthan, 302017, India
E-mail: murarimandal.cv@gmail.com, 2015rcp9525@mnit.ac.in
PhD Supervisor: Dr. Santosh Kumar Vipparthi, Assistant Professor, MNIT Jaipur
About Me     Education     Publications     Google Scholar     Researchgate     Github     Publons     LinkedIn

RESEARCH INTERESTS

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

RECENT

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

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

JOURNALS

1. 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. (Impact Factor 3.268)
2. 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, doi: 10.1109/LGRS.2019.2923564 (Impact Factor 3.534)
3. 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 (Impact Factor 1.648)
4. 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 (Impact Factor 2.004).

CONFERENCES

1. 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. (Accepted)
2. 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.
3. 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
4. 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 (Accepted)
5. Murari Mandal Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi "3D CNN for change detection," (Poster), NVIDIA GTC Conference, Silicon Valley, USA, 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.
7. Sonakshi Mathur, Mallika Chaudhary, Hemant Verma, Murari Mandal,Santosh Kumar Vipparthi, Subrahmanyam Murala, Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval . 14th IEEE India Council International Conference (INDICON), pp. 1-6, IIT Roorkee, 2017

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 - Present)

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

I received my bachelor degree from Department of Computer Science & Information Systems, BITS Pilani in 2011. Thereafter I received my masters degree from Thapar University in 2015. Currently, I am pursuing PhD in Malaviya National Institute of Technology Jaipur. I am always open for collaborative work on new ideas, specially application of deep learning for inter disciplinary applications

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