pratik.cse's picture
Dr. Pratik Chattopadhyay
Assistant Professor
Department of Computer Science and Engineering
Area of Interest: 
Image and Video Processing, Pattern Recognition, Machine Learning

I am working as an Assistant Professor at the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi.  Prior to this, I did my post-doctoral studies for one year at the School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, and for six months at the Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India. I completed my PhD from Indian Institute of Technology, Kharagpur, India in 2015. The broad area of my PhD research was Image and Video Processing.

I received Master degree (MCSE) in Computer Science & Engineering from Jadavpur University, Kolkata, India in 2011, and B Tech degree in Computer Science & Engineering from West Bengal University of Technology, India in 2009. My present research interests include application of machine learning, image processing and pattern recognition.  My hobbies are painting, and playing musical instruments. To view the detailed profile click here.

Odd Semester (2020-21)
Computer Graphics
Even Semester (2019-2020)
Computer Programming (CSO-101)
Machine Learning (CSE-464)
Odd Semester (2019-20)
Computer Programming (CSO-101)
Intelligent Computing (CSE-342)
Even Semester (2018-2019)
Computer Programming (CSO-101)
Machine Learning (CSE-464)
Biometrics (CS-7005)

Odd Semester (2018-2019)
Computer Programming (CSO-101)

Even Semester (2017-2018)
Computer Programming (CSO-101)
Biometrics (CS-7005)

Odd Semester (2017-2018)
Computer Programming (CSO-101)


Presently I am focusing on the following research topics:
1. Gait Recognition 
2. Person Re-identification and Recognition
3. Image and Video De-fencing
4. Face De-identification
5. Insider Threat Detection
6. Style Transfer and Image to Image Translation using Deep Learning
7. Content-based Image Retrieval


Nirbhay Kumar, Pratik Chattopadhyay, Lipo Wang, T-MAN: A Neural Ensemble Approach for Person Re-Identification using Spatio-temporal Information, Multimedia Tools and Applications (accepted in 2020).

Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi, and Lipo Wang, A Robust and Efficient Image De-fencing Approach using Conditional Generative Adversarial Networks, Signal, Image and Video Processing (accepted in 2020).

Pratik Chattopadhyay, Lipo Wang, Yap-Peng Tan, Scenario-Based Insider Threat Detection From Cyber Activities, IEEE Transactions on Computational Social Systems, 5(3), 1-16, 2018. 

Aditi Roy, Pratik Chattopadhyay, Shamik Sural, Jayanta Mukherjee and Gerhard Rigoll, Modeling, Synthesis and Characterization of Occlusion in Videos, IET Computer Vision, 9(6): 821-830, 2015.

Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Information Fusion from Multiple Cameras for Gait-based Re-identification and Recognition, IET Image Processing, 9(11): 969-976, 2015.

Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Frontal Gait Recognition from Occluded Scenes, Elsevier Pattern Recognition Letters, 63(1): 9-15, 2015. 

Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Frontal Gait Recognition from Incomplete Sequences using RGB-D Camera, IEEE Transactions on Information Forensics and Security, 9(11): 1843-1856, 2014.

Pratik Chattopadhyay, Aditi Roy, Shamik Sural, and Jayanta Mukhopadhyay, Pose Depth Volume Extraction from RGB-D Streams for Frontal Gait Recognition, Elsevier Journal of Visual Communication and Image Representation, 25(1): 53–63, 2014.

Nirbhay Tagore, Pratik Chattopadhyay SMSNet: A Novel Multi-Scale Siamese Model for Person Re-Identification, 17th International Conference on Signal Processing and Multimedia Applications. (accepted in 2020).

Krishnan, Utsav, Ayush Agarwal, Avinash Senthil, and Pratik Chattopadhyay. Image Enhancement and Denoising in Extreme Low-Light Conditions. (accepted in 2019).
Shailesh Shrivastava, Alakh Aggarwal, Pratik Chattopadhyay, Broad Neural Network for Change Detection in Aerial Images, 1st International Conference on Emerging Technology in Modelling and Graphics, Springer Singapore, 327-339, 2019.

Sanjay Kumar Gupta, Gaurav Mahesh Sultaniya, Pratik Chattopadhyay, An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues, International Conference on Emerging Technology in Modelling and Graphics, Springer Singapore, 85-97, 2019.

Utsav Krishnan, Akshal Sharma, Pratik Chattopadhyay, Feature Fusion from Multiple Paintings for Generalized Artistic Style Transfer, International Conference on Advances in Engineering Science Management & Technology, SSRN 3387817, 2019. 

David Lorenzi, Pratik Chattopadhyay, Emre Uzun, Jaideep Vaidya, Shamik Sural, Vijayalakshmi Atluri, Generating Secure Images for CAPTCHAs through Noise Addition, ACM Symposium on Access Control Models and Technologies, 169-172, 2015. (demo paper)

Pratik Chattopadhyay, Shamik Sural and Jayanta Mukherjee, Exploiting Pose Information for Gait Recognition from Depth Streams, 4th IEEE Workshop on Consumer Depth Cameras for Computer Vision in conjunction with European Conference on Computer Vision, Lecture Notes in Computer Science, Springer International Publishing, 341-355, 2014.

Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Gait Recognition from Front and Back View Sequences captured using Kinect, 5th International Conference on Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 196–203, 2013.

Surveillance using Partial Gait Sequences, Pratik Chattopadhyay, Shamik Sural, Jayanta Mukhopadhyay. Status: Filed (Ref: 615/KOL/2014)

Co-authored a book on Video Analytics- A Machine Intelligence Approach to Springer, Singapore. Other authors are Dr. Debi Prosad Dogra (IIT Bhubaneswar) and Dr. Shamik Sural (IIT Kharagpur). The first draft is submitted in January 2019 and is presently under review.

We focus on research related to Applications of Machine Learning in Different Domains such as Image Processing, Cyber-Security, Material Property Prediction, etc. Presently, we have a research team consisting of three PhD students, two IDD students, and six B.Tech students. We regularly hire bright intern students from other institutes to carry out our research work.