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Arijit Sur

Dr. Arijit Sur

Professor

Dept. of Computer Science and Engineering
IIT Guwahati-781039, Assam, India
Ph:  +91-361-258-2361 (office)
Email: arijit@iitg.ac.in 
 

Latest News

September 2025: • Two of our papers, titled TURBIT: Generating turbid underwater images with diffusion and differential transformers (First Author: Utkarsh Srivastava) and Diffusion based shape-aware learning with multi-scale context for segmentation of tibiofemoral knee joint tissues: an end-to-end approach (First Author: Akshyay Daydar) have been accepted in IEEE International Conference on Image Processing (ICIP 2025).

April 2025: • Three of our papers, titled River-GEM: Generating and Enhancing Muddy Water Images (First Author: Alik Pramanick), MedCAM-OsteoCls: Medical Context Aware Multimodal Classification of Knee Osteoarthritis (First Author: Akshyay Daydar), and Efficient-USR: Prompt guided dual-domain feature information for efficient underwater image super-resolution (First Author: Alik Pramanick) have been accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025).

July 2024: • Four of our papers, titled GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering (First Author: Sonal Kumar), Zero-Shot Underwater Gesture Recognition (First Author: Sandipan Sarma), Rada: Reconstruction assisted domain adaptation for nighttime aerial tracking (First Author: Avinash Chouhan), and ML-CrAIST: Multi-scale low-high frequency information-based cross attention with image super-resolving transformer (First Author: Alik Pramanick) have been accepted in 27th International Conference on Pattern Recognition (ICPR 2024).

July 2024: • A journal paper titled TMLNet: Triad Multitask Learning for change detection (First Author: Avinash Chouhan) has been accepted in Neurocomputing, Elsevier.

May 2024: • A journal paper titled Collaborative Video Caching in the Edge Network using Deep Reinforcement Learning (First Author: Anirban Lekharu) has been accepted in ACM Transactions on Internet of Things.

April 2024: • A journal paper titled Content-Aware Caching at the Mobile Edge Network using Federated Learning (First Author: Anirban Lekharu) has been accepted in IEEE Transactions on Emerging Trends in Computational Intelligence (TETCI).

March 2024: • A journal paper titled DatUS: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer (First Author: Sonal Kumar) has been accepted in IEEE Transactions on Emerging Trends in Computational Intelligence (TETCI).

February 2024: • A journal paper titled Reinforcement Learning based Adaptive BitRate Caching at MEC Server (First Author: Anirban Lekharu) has been accepted in IEEE Transactions on Network and Service Management.

February 2024: • A journal paper titled Multi-Contextual Design of Convolutional Neural Network for Steganalysis (First Author: Brijesh Singh) has been accepted in Multimedia Tools and Applications, Springer.

February 2024: • Four of our papers, titled Attention-Based Spatial-Frequency Information Network For Underwater Single Image Super-Resolution (First Author: Alik Pramanick), Boosting Zero-Shot Human-Object Interaction Detection With Vision-Language Transfer (First Author: Sandipan Sarma), Ipcl: Iterative Pseudo-Supervised Contrastive Learning To Improve Self-Supervised Feature Representation (First Author: Sonal Kumar), and X-Caunet: Cross-Color Channel Attention With Underwater Image-Enhancing Transformer (First Author: Alik Pramanick) have been accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024).

About

Dr. Arijit Sur received his M.Sc. and M.Tech. degrees from University of Calcutta in 2001 and 2003, respectively. He earned his Ph.D. degree from the Department of Computer Science and Engineering at Indian Institute of Technology Kharagpur in 2010. Dr. Sur joined the Department of Computer Science and Engineering at Indian Institute of Technology Guwahati as an Assistant Professor in 2009 and is currently serving there as a Professor. His research primarily focuses on deep learning approaches for solving various computer vision problems, including image and video restoration, super-resolution, semantic segmentation, and change detection. His work spans multiple application domains such as underwater vision, satellite and remote sensing image analysis, medical imaging, and media forensics. His research group is also actively engaged in several machine learning–based areas, including zero-shot learning, semi-supervised learning, robotic vision, and machine learning techniques for adaptive video streaming in 5G environments. Dr. Sur founded the “Multimedia Lab” in the Department of Computer Science and Engineering (CSE) in 2012. Currently, eight research scholars are pursuing their Ph.D. research under his supervision, while twelve students have already completed their doctoral studies under his guidance. He has co-authored more than 120 research papers published in leading journals and premier international conferences. At present, he serves as an Associate Editor of Multimedia Systems Journal, published by Springer.

For the details about his research activities, please visit Multimedia Lab website