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 (2024)

1.     Aditya Panda, Dipti Prasad Mukherjee: Knowledge Guided Transformer Network for Compositional Zero-shot Learning. ACM Transactions on Multimedia Computing Communications and Applications. Accepted (2024).

 

2.     Aditya Panda, Dipti Prasad Mukherjee: Compositional Zero-shot Learning using Multi-Branch Graph Convolution and Cross-layer Knowledge Sharing. Pattern Recognition. 145:109916 (2024).

 

3.     Sankarsan Seal, Dipti Prasad Mukherjee. Panoptic Segmentation of CT Images of Non-small Cell Lung Cancer Data, IEEE Industrial Electronics Society 16th Human System Interaction Conference 2024, 8-11 July, Paris.

 

Publications (2023)

1.     Saikat Sarkar, Dipti Prasad Mukherjee, Amlan Chakrabarti: Reinforcement Learning for Pass Detection and Generation of Possession Statistics in Soccer, IEEE Trans. on Cognitive and Developmental Systems, June 2023, 15(2), pp 914-924, 10.1109/TCDS.2022.3194103

 

2.     Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee: Isolating Features of Object and its State for Compositional Zero-shot Learning, IEEE Trans. on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2022.3232816 (2023)

 

3.     Saikat Sarkar, Spandan Basu, Angshuman Paul, Dipti Prasad Mukherjee: ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes. IEEE Trans. on Broadcasting, 69(1): 191-200 (2023)

 

Publications (2022)

1.     Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee:

Part-based annotation-free fine-grained classification of images of retail products.

Pattern Recognition 121: 108257 (2022)

 

2.     Saikat Sarkar, Dipti Prasad Mukherjee, Amlan Chakrabarti:

From soccer video to ball possession statistics.

Pattern Recognition 122: 108338 (2022)

 

3.     Bikash Santra, Udita Ghosh, Dipti Prasad Mukherjee:

Graph-based modelling of superpixels for automatic identification of empty shelves in supermarkets.

Pattern Recognition 127: 108627 (2022)

 

4.     Aratrik Chattopadhyay, Angshuman Paul, Dipti Prasad Mukherjee:

Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images.

Pattern Recognition Letters 159: 38-45 (2022)

 

5.     Saikat Sarkar, Dipti Prasad Mukherjee, Amlan Chakrabarti:

Watch and Act: Dual Interacting Agents for Automatic Generation of Possession Statistics in Soccer.

CVPR Workshops 2022: 3559-3567

 

6.     Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee:

Bi-Modal Compositional Network for Feature Disentanglement.

ICIP 2022: 3051-3055

 

Publications (2021)

 

1.     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)

2.     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)

3.     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 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.     Bikash Santra and Dipti 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, Mrinal Kanti Bhowmik, 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, Amlan Chakrabarti, 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, Abhinandan Gangopadhyay, 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, Abhinandan Gangopadhyay, 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, Bikash Santra and Dipti Prasad Mukherjee, “Anubhav: Recognizing Emotions through Facial Expressions”, The Visual Computer, 34(2), pp. 177-191, 2018.

5.     Saikat Sarkar, Amlan Chakrabarti, 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.

Book

  • 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.

Patents

US Patent:

1.     Method and system for region proposal based object recognition for estimating planogram compliance, US-11354549-B2, Avishek Kumar Shaw, Rajashree Ramakrishnan, Shilpa Yadukumar Rao, Pranoy Hari, Dipti Prasad Mukherjee, Bikash Santra, US Patent grant date 7/6/2022, Australian Patent no. 2020205301, grant date 10/3/2022.

2.     Fine-grained classification of retail products, Avishek Kumar Shaw, Shilpa Yadukumar Rao, Pranoy Hari, Dipti Prasad Mukherjee, Bikash Santra, US Patent publication date 14/4/2022 (US-20220114403-A1), Australian Patent no. 2021245099, grant date 9/3/2023.

3.     System and method for object recognition based estimation of planogram compliance, US-10748030-B2, Pranoy Hari, Shilpa Yadukumar Rao, Rajashree Ramakrishnan, Avishek Kumar Shaw, Archan Ray, Nishant Kumar, Dipti Prasad Mukherjee, US Patent grant date 18/8/2020, Australian Patent no. 2017342154, grant date 7/11/2019.

4.     Action based activity determination system and method, US-9589203-B2, Dipti Prasad Mukherjee, Tamal Batabyal, Tanushyam Chattopadhyay, US Patent grant date 7/3/2017.

5.     Object detection system and method, US-9430701-B2, Sangheeta Roy, Tanushyam Chattopadhyay, Dipti Prasad Mukherjee, US Patent grant date 30/8/2016

 

Indian Patent:

1.     A system and method for detecting a human in an image, Sangheeta Roy, Tanushyam Chattopadhyay, Dipti Prasad Mukherjee, Indian Patent no. 382763 granted on 26/11/2021.

2.     A system and method for detecting activity of a human in an image, Sangheeta Roy, Tanushyam Chattopadhyay, Dipti Prasad Mukherjee, Indian Patent no. 426383 granted on 22/3/2023.

3.     System and method for object recognition based estimation of planogram compliance, Pranoy Hari, Shilpa Yadukumar Rao, Rajashree Ramakrishnan, Avishek Kumar Shaw, Archan Ray, Nishant Kumar, Dipti Prasad Mukherjee, Indian Patent no. 424242 granted on 7/3/2023.