Publications.

• Chanda Grover, Indra Deep Mastan, Debayan Gupta. “Sem-CS: Semantic CLIPStyler for Text-Based Image Style Transfer”. Accepted In IEEE International Conference on Image Processing (ICIP 2023).
• Chanda Grover, Indra Deep Mastan, Debayan Gupta. “ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP Visual Representations”. In Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP 2022).
• Indra Deep Mastan, Shanmuganathan Raman, and Prajwal Singh. “DILIE: deep internal learning for image enhancement.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (Workshop), 2022.
• Jatin Kumar, Indra Deep Mastan, and Shanmuganathan Raman. “FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks.” In International Conference on Computer Vision and Image Processing, Springer, Cham, 2022.
• Indra Deep Mastan and Shanmuganathan Raman, “DeepCFL: Deep Contextual Features Learning from a single image.” In IEEE Winter Conference on Applications of Computer Vision (WACV 2021).
• Indra Deep Mastan and Shanmuganathan Raman, DeepObjStyle: Deep Object-based Photo Style Transfer, In IEEE Conference on Computer Vision and Pattern Recognition Workshops 21.(CVPRW 21).
• Indra Deep Mastan and Shanmuganathan Raman, “DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting.” In IEEE Winter Conference on Applications of Computer Vision (WACV 2020).
• Indra Deep Mastan and Shanmuganathan Raman, Multi-level Encoder-Decoder Architectures for Image Restoration, In IEEE Conference on Computer Vision and Pattern Recognition Workshops 19.(CVPRW 19).
• Indra Deep Mastan and Souradyuti Paul, A New Approach to Deanonymization of Unreachable Bitcoin Nodes, In International Conference on Cryptology and Network Security (CANS 2017), Springer, LNCS.
• H Jain, R Patil, Indra Deep Mastan, Shanmuganathan Raman, Blind Motion Deblurring through SinGAN Architecture. ECCV 2020 Workshop.

Presentations

• 4th International Workshop on Multimedia Applications (IWMA) March, 2022 - LNMIIT, Jaipur. Topic: Introduction to Generative Adversarial Networks.
• Doctoral Consortium of IEEE Winter Conference on Applications of Computer Vision 2021. Topic: Deep Feature Learning: Training With No Prior Examples and Its Applications.
• Lightning Talk at 14th Inter-Research-Institute Student Seminar in Computer Science (IRISS) 2020. Topic: Multi-Level Encoder-Decoder Architectures for Image Restoration.
• Speaker at NASSCOM CoE xChange Technical Workshop: Decision Making in Computer Vision, 2019. Topic: Learning-free Inference for Computer Vision.

Academic Projects (The project details will be updated shortly).

1. Block chain and its application to health network
   • 2016, I will put up the report for educational purpose.
2. Digital Signature Primitives for Mobile Payment Systems
   • Worked on an efficient adaptation of Certi cateless Signcryption and Re-Encryption schemes for NFC-based Mobile Payment Systems. Sponsored project by Indo-French Centre for the Promotion of Advanced Research (IFCPAR). 2013.
3. Feature-Based Approach for Lexical Simplification
   • Developed an application which simplifies text by replacing hard words with simpler ones. Support Vector Machine (SVM) was used for classification. 2013.
4. Network Intrusion Detection
   • Created an application which analyses the traffic coming into the network and predicts if the network is suffering from attacks. To train and test the classifier, the DARPA-98 Lincon Laboratory Evaluation Data Set was used. 2012
5. Re-Encryption for Cloud Security
   • Worked on Re-Encryption schemes which provides data security in the cloud. 2012.
6. Quality Adaptive Scheduling for Live streaming over multiple Access Networks
   • 2012, I will put up the report for educational purpose.
7. Universal Hashing for Join Size Estimation of Streaming Data
   • Developed an application which calculates join-size estimation of a continuous data stream. Implemented Fast Agms and Fast Count methods using a 4-universal hash function. 2011.
8. Web Spam Detection
   • Developed an application that classifies a HTML web page as a spam or a legal page using decision tree. The classification process is based on the content of the HTML web page. 2010.