Dipti Prasad Mukherjee, PhD, FIE, FCSI, FWBAST

Deputy Director and Professor(HAG)
Electronics and Communication Sciences Unit
Computer and Communication Sciences Division
Indian Statistical Institute
203 B T Road, Kolkata 700108, India.
Tel: 2575 2913, 2575 2902
Email: dipti[AT]isical.ac.in


Broad Research Interests:

  • Image Processing and Computer Vision
  • Computer Graphics


Publications (2021)


1.     Part-based annotation-free fine-grained classification of images of retail products, B Santra, AK Shaw, DP Mukherjee, Pattern Recognition 121, 108257, (2021)

2.     From Soccer Video to Ball Possession Statistics, S Sarkar, DP Mukherjee, A Chakrabarti, Pattern Recognition, 108338, (2021)

3.     Monocular 3D Human Pose Estimation by Multiple Hypothesis Prediction and Joint Angle Supervision, A Panda, DP Mukherjee, 2021 IEEE International Conference on Image Processing (ICIP), 3243-3247, (2021)

4.     An end-to-end annotation-free machine vision system for detection of products on the rack, B Santra, AK Shaw, DP Mukherjee Machine Vision and Applications 32 (3), 1-13, (2021)

5.     Method and system for region proposal based object recognition for estimating planogram compliance, AK Shaw, R Ramakrishnan, SY Rao, H Pranoy, DP Mukherjee, B Santra, US Patent App. 16/928,682, (2021)


Publications (2020)


  1. Bikash Santra, Avishek Kumar Shaw, Dipti Prasad Mukherjee, “Graph-based Non-maximal Suppression for Detecting Products on the Rack,” Pattern Recognition Letters, 140: 73-80 (2020)
  2. Yusuf Akhtar, Dipti Prasad Mukherjee, “Context-based Ensemble Classification for the Detection of Architectural Distortion in a Digitised Mammogram”, IET Image Process. 14(4): 603-614 (2020)
  3. Bikash Santra, Angshuman Paul, Dipti Prasad Mukherjee, “Deterministic Dropout for Deep Neural Networks using Composite Random Forest.” Pattern Recognition Letters, 131: 205-212 (2020)
  4. Avinash Kumar Kumar Tiwari, Suman Ghosh, Rashmi Singh, Dipti Prasad Mukherjee, B. Uma Shankar, Pratik Swarup Dash, “Automated coal petrography using random forest”, Int. J. of Coal, Geology, (2020)


Publications (2019)

1.     Angshuman Paul and Dipti Prasad Mukherjee, “Reinforced Quasi-random Forest”, Pattern Recognition, 94, pp. 13-24, October 2019, DOI: https://doi.org/10.1016/j.patcog.2019.05.013

2.     BikashSantra andDipti Prasad Mukherjee, “A Comprehensive Survey on Computer Vision based Approaches for Automatic Identification of Products in Retail Store”, Image and Vision Computing, 86, pp. 45-63, June 2019.

3.     Swapna Agarwal and Dipti Prasad Mukherjee, Synthesis of Realistic Facial Expressions using Expression Map, IEEE Transactions on Multimedia, 21(4), pp. 902-914, April 2019.

4.     Angshuman Paul, Dipti Prasad Mukherjee and Scott Acton, Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2018.2791624, 23(1), pp. 264-272, January 2019.

5.     Kakali Das, MrinalKantiBhowmik, Dipti Prasad Mukherjee,Segmentation of Knee Thermograms for Detecting Inflammation, ICIP 2019, Taipei, September 2019.

6.     Angshuman Paul, Dipti Prasad Mukherjee, Scott T. Acton,Shape based Speckle Removal for Ultrasound Image Segmentation, ICIP 2019, Taipei, September 2019.

7.     Saikat Sarkar, AmlanChakrabarti, Dipti Prasad Mukherjee,Generation of Ball Possession Statistics in Soccer using Minimum-Cost Flow Network, CVSports, International Workshop on Computer Vision in Sports, CVPR 2019.

Publications (2018)

1.     Yusuf Akhtar and Dipti Prasad Mukherjee, “Detection of Architectural Distortion from the Ridges in a Digitized Mammogram,” Signal, Image and Video Processing, Springer, DOI: https://doi.org/10.1007/s11760-018-1281-1, 12(7), pp. 1285-1292, October 2018.

2.     Angshuman Paul, AbhinandanGangopadhyay, Appa Rao Chintha, Dipti Prasad Mukherjee, Prasun Das and Saurabh Kundu, “Calculation of Phase Fraction in Steel Microstructure Images Using Random Forest Classifier”, IET Image Processing, DOI: 10.1049/iet-ipr.2017.1154, 12(8), pp. 1370-1377, August 2018.

3.     Angshuman Paul, Dipti Prasad Mukherjee, AbhinandanGangopadhyay, Appa Rao Chintha,, Prasun Das and Saurabh Kundu, Improved Random Forest for Classification, IEEE Transactions on Image Processing, 27(8), pp. 4012-24, 2018.

4.     Swapna Agarwal, BikashSantra and Dipti Prasad Mukherjee, “Anubhav: Recognizing Emotions through Facial Expressions”, The Visual Computer, 34(2), pp. 177-191, 2018.

5.     Saikat Sarkar, AmlanChakrabarti, Dipti Prasad Mukherjee, Estimation of Ball Possession Statistics in Soccer Video, ICVGIP 2018, IIIT Hyderabad, ACM Digital Library.

6.     Archan Ray, Nishant Kumar, Avishek Shaw, Dipti Prasad Mukherjee, U-PC: Unsupervised Planogram Compliance, ECCV 2018, Munich, Germany.

7.     Angshuman Paul, Angshul Majumder and Dipti Prasad Mukherjee, Discriminative Autoencoder, ICIP 2018, Athens, Greece.


  • Dipti Prasad Mukherjee and Debasish Jana, Computer Graphics: Algorithms and Implementations, Prentice Hall (India), 2010.
  • Dipti Prasad Mukherjee, Fundamentals of Computer Graphics and Multimedia, Prentice Hall (India), 1999.