Journals
2024
42. Sandipan Sarma, Divyam Singal, and Arijit Sur, "LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition. (accepted to IEEE Transactions on Emerging Topics in Computational Intelligence). Authorea Preprints Paper Link
41. Avinash Chouhan, Arijit Sur, Dibyajyoti Chutia, Shiv Prasad Aggarwal, "TMLNet: Triad Multitask Learning for change detection", In the Neurocomputing, Elsevier Paper Link
40. Anirban Lekharu, Pranav Gupta, Arijit Sur, Moumita Patra, "Collaborative based Video Caching in the Edge Network using Deep Reinforcement Learning", In the ACM Transactions on Internet of Things Paper Link
39. Anirban Lekharu, Avik Samanta, Arijit Sur, Moumita Patra, "Content-Aware Caching at the Edge Network using Federated Learning", In the IEEE Transactions on Emerging Topics in Computational Intelligence Paper Link
38. Sonal Kumar, Arijit Sur, R. D. Baruah, "DatUS: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer", In the IEEE Transactions on Cognitive and Developmental Systems Paper Link
37. Anirban Lekharu, Annanya Pratap Singh Chauhan, Arijit Sur, Moumita Patra, "Reinforcement Learning based Adaptive BitRate Caching at MEC Server", In the IEEE Transactions on Network and Service Management (2021) Paper Link
36. Brijesh Singh, Arijit Sur, Pinaki Mitra, "Multi-Contextual Design of Convolutional Neural Network for Steganalysis", Accepted in Multimedia Tools and Applications, Springer Paper Link
2023
35. Avinash Chouhan, Arijit Sur, Dibyajyoti Chutia, Shiv Prasad Aggarwal, "HybridNet: Integrating Multiple Approaches for Aerial Semantic Segmentation", Accepted in SN Computer Science, Springer Paper Link
34. Sandipan Sarma, Arijit Sur, "DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning", Accepted in ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) Paper Link
33. Rohit Kumar Jain, Prasen Kumar Sharma, Sibaji Gaj, Arijit Sur and Palash Ghosh, "Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network", Accepted in Multimedia Tools and Applications, Springer Paper Link
2022
32. Avinash Chouhan, Arijit Sur, Dibyajyoti Chutia, "DRMNet: Difference Image Reconstruction Enhanced Multiresolution Network for Optical Change Detection", Accepted in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Paper Link
31. Brijesh Singh, Prasen Kumar Sharma, Shashank Anil Huddedar, Arijit Sur, Pinaki Mitra, "StegGAN: hiding image within image using conditional generative adversarial networks", Accepted in Multimedia Tools and Applications (Springer) Paper Link
30. Prasen Kumar Sharma, Ira Bisht, Arijit Sur, "Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration", Accepted in ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) Paper Link
2021
29. Anirban Lekharu, Mitansh Jain, Arijit Sur, Arnab Sarkar, "Deep Learning Model for Content Aware Caching at MEC Servers", In the IEEE Transactions on Network and Service Management (2021) Paper Link
28. B Singh, A Sur, P Mitra, "Steganalysis in Digital Images using Fractal Network", In the IEEE Transactions on Computational Social Systems. (2021) Paper Link
27. B Singh, M Chhajed, A Sur, P Mitra, "Steganalysis using Learned Denoising Kernels", In the Multimedia Tools and Applications (Springer) 80, pp. 4903–4917. (2021) Paper Link
2020
26. P. K. Sharma, S. Ghosh, A. Sur, "High-Quality Frame Recurrent Video De-Raining with Multi-Contextual Adversarial Network", In the ACM Transactions on Multimedia Computing, Communications, and Applications (ACM-TOMM), 2020 Paper Link
25. P. K. Sharma, S. Basavaraju, A. Sur, "Deep Learning based Image De-raining using Discrete Fourier Transformation", The Visual Computer International Journal of Computer Graphics (TVCJ), Springer (2020) Paper Link
24. P. K. Sharma, S. Basavaraju, A. Sur, "High-Resolution Image De-raining using Conditional GAN with Sub-Pixel Upscaling", Multimedia Tools and Applications - Springer (2020) Paper Link
23. Basavaraju Sathisha, and A Sur, "Image Memorability Prediction Using Depth and Motion Cues", IEEE Transactions on Computational Social Systems (2020) Paper Link
2019
22. Sibaji Gaj, A Sur, Prabin Kumar Bora, "Prediction Mode Based H.265/HEVC Video Watermarking Resisting Re-compression Attack", Multimedia Tools and Applications (2019) - Springer Paper Link
21. Sathisha Basavaraju, A Sur, "Multiple Instance Learning based Deep CNN for Image Memorability Prediction", Multimedia Tools and Applications (2019) - Springer Paper Link
20. Ritvik Rawat, Brijesh Singh, A Sur, and Pinaki Mitra, "Steganalysis for Clustering Modification Direction Steganography", Multimedia Tools and Applications (2019) - Springer Paper Link
19. Satish Kumar , Rajesh Devaraj , Arnab Sarkar, and A Sur, "Client-Side QoE Management for SVC Video Streaming: An FSM Supported Design Approach", IEEE Transactions on Network and Service Management Paper Link
18. Sathisha Basavaraju, Sibaji Gaj, A Sur, "Object Memorability Prediction using Deep Learning: Location and Size Bias", Journal of Visual Communication and Image Representation, Elsevier Paper Link
2018
17. S Rana, A Sur, "View Invariant DIBR-3D Image Watermarking Using DT-CWT", Multimedia Tools and Applications, Springer Paper Link
2017
16. S. Kumar, A. Sarkar, A. Sur, "A Resource Allocation Framework for Adaptive Video Streaming Over LTE", Journal of Network and Computer
Applications, Elsevier
15. Nilkanta Sahu, Arijit Sur, "SIFT Based Video Watermarking Resistant to Temporal Scaling", Journal of Visual Communication and Image
Representation, Elsevier
2016
14. Sibaji Gaj, Aditya Kanetkar, A. Sur, Prabin Kumar Bora, Drift-Compensated Robust Watermarking Algorithm for H.265/HEVC Video Stream,ACM Trans. Multimedia Comput. Commun. Appl. 13, 1, Article 11 (January 2017), 24 pages. DOI: https://doi.org/10.1145/3009910
13. Sibaji Gaj, AnoopRathor, A. Sur, Prabin Kumar Bora, A Robust Watermarking Scheme against Frame Blending and Projection Attacks"
Multimedia Tools and Applications, Springer US, September 2016 (Accepted)
12. Rana, S., Sur, A.: "Depth Based View Invariant Blind 3D Image Watermarking".ACM Trans. Multimedia Comput. Commun. Appl. 12, 4,
Article 48 (August 2016), 23 pages. DOI: http://dx.doi.org/10.1145/2957751
2015
11. Nilkanta Sahu, Shuvendu Rana and Arijit Sur "MCDCT-TF based video watermarking resilient to temporal and quality scaling",
Multimedia Tools and Applications, Springer US, 2015
10. S. Kumar, A. Sarkar, S. Sriram, A. Sur. "A Three Level LTE Downlink Scheduling Framework for RT VBR Traffic." Computer Networks,
Elsevier, August, 2015.
2014
9. Swathi Karri and A. Sur, "Steganographic Algorithm Based on Randomization of DCT Kernel", Multimedia Tools and Applications,Springer,
2014 (accepted)
8. Sibaji Gaj, Ashis Singh Patel, A. Sur,"Object Based Watermarking for H.264/AVC Video Resistant to RST Attacks", Multimedia Tools and
Applications, Springer, 2014
7. A. Sur, Sista Venkat Madhav Krishna, Nilkanta Sahu and Shuvendu Rana, "Detection of Motion Vector Based Video Steganography",
Multimedia Tools and Applications, Springer, 2014
6. Shuvendu Rana, Nilkanta Sahu, and Arijit Sur,“Robust watermarking for resolution and quality scalable video sequence,”
Multimedia Tools and Applications, pp. 1–30,2014.
2012