• Sobhan Kanti Dhara, Mayukh Roy and Debashis Sen, "Haze Hue and Haze Saturation Priors for Single Image Dehazing", International Journal of Computer Vision  (IJCV). Accepted, 2025.

• Soumyadipto Bannerjee, Jiaul H. Paik and Debashis Sen, "Wide2Long: Learning Lens Compression and Perspective Adjustment for Wide-Angle to Telephoto Translation", International Conference on Computer Vision (ICCV), 2025.

• Nitin Desai, Gobinda Behara, Sankha Deb and Debashis Sen, “Development of a Three-Finger Adaptive Robotic Gripper for Handling Irregular and Complex Objects and Its Dynamic Grasp Synthesis”, ASME International Manufacturing Science and Engineering Conference (MSEC), Accepted, 2025.

• Gargi Pillai and Debashis Sen, "Deep Temporally Recursive Differencing Network for Anomaly Detection in Videos", IEEE Transactions on Artificial Intelligence. Accepted, 2025.

• Pallabjyoti Deka, Saumik Bhattacharya, Debashis Sen and Prabir K. Biswas, “3D Shape Completion using Multi-resolution Spectral Encoding”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

• Nitin Desai, Gobinda Behara, Sankha Deb and Debashis Sen, A Genetic Algorithm Based Adaptive and Hybrid Pathfinding Algorithm to Enhance the Performance of Robotic Bin-Picking, IEEE Annual India Conference (INDICON), Accepted, 2024. 

• Nitin Desai, Sainul Islam Ansary, Atul Mishra, Sankha Deb and Debashis Sen, "Design and Implementation of a Lance for Performing Robot-Assisted Metallurgical Temperature Measurement and Sampling and Robot Trajectory Planning and Control", International Conference on Next Generation Technologies: Design and Manufacturing, Accepted, 2024.

• Ashish Verma, Aupendu Kar, Krishnendu Ghosh, Sobhan Kanti Dhara, Debashis Sen and Prabir Kumar Biswas, "Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images", IEEE Transactions on Instrumentation and Measurement, Accepted, 2024.

• Sudipta Bhuyan, Ashish Verma, Debashis Sen and Sankha Deb, "Consistent Features from Varied Contexts and Ordered Multiple Attention Forms for RGB-D Salient Object Detection", IEEE Sensors Journal, Accepted, 2024.

• Sudipta Bhuyan, Aupendu Kar, Debashis Sen and Sankha Deb, " RGB-D Fusion through Zero-shot Fuzzy Membership Learning for Salient Object Detection ", IEEE Transactions on Artificial Intelligence, Accepted, 2024.

• Debashis Sen and Vivekraj V. K., “Multi-reference Evaluation of Dynamic Video Summaries using Granule-aware F-measure”, IEEE Transactions on Emerging Topics in Computational Intelligence, Accepted, 2024.

• Aupendu Kar, Sobhan K. Dhara, Debashis Sen and Prabir K. Biswas, “Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement”, IEEE Transactions on Instrumentation and Measurement, Accepted, 2024.

• Ashish Verma and Debashis Sen, “Generative Augmentation Driven Prediction of Diverse Visual Scanpaths in Images”, IEEE Transactions on Artificial Intelligence. Accepted, 2023.

• Sudipta Bhuyan, Debashis Sen and Sankha Deb, "RGB-D fusion based on Fuzzy Optimization for Salient Object Detection", International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, 2023.

• Nitin Desai, Sankha Deb and Debashis Sen, "MaskPose: 3D pose estimation and image segmentation of objects from RGB images for robotic grasping", National Seminar on Innovation & Technology Inclusion Program in Manufacturing and Asset Management for Steel Industry, Tata Steel Ltd, Jamshedpur, India, 2023.

• Sutanu Bera, Vinay Ummadi, Debashis Sen, Subhamoy Mandal and P. K. Biswas, “Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, 2023.

• Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas, “Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) workshops - MedAGI, Vancouver, Canada, 2023.

• Sudipta Bhuyan, Ashish Verma, Debashis Sen and Sankha Deb, " Estimated Depth Based Progressive Interactive Framework for RGB Salient Object Detection in Images ", IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023.

• Gargi V. Pillai, Ashish Verma and Debashis Sen, "Transformer based Self-context Aware Prediction for Few-Shot Anomaly Detection in Videos", IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.

• Krishnendu Ghosh, Aupendu Kar, Saumik Bhattacharya, Debashis Sen and Prabir Kumar Biswas, "Multi-latent GAN Inversion for Unsupervised 3D Shape Completion", IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.

• Sobhan Kanti Dhara and Debashis Sen, "Exposedness based Noise-Suppressing Low-Light Image Enhancement", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32, No. 6, pp. 3438-3451, 2022. []

• Gargi V. Pillai and Debashis Sen, "Anomaly Detection in Non-stationary videos using Time-recursive Differencing Network based Prediction ", IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5, Art no. 8010605, 2022. []

• Debashis Sen (Ed.), “Evaluation of Visual Scanpath Prediction Consistent with Human Subjective Assessment”, IEEE MMTC Communications – Review, Vol.13, No.3, pp. 5-6, 2022.

• Sudipta Bhuyan, Debashis Sen, and Sankha Deb, "Structure-Aware Multiple Salient Region Detection and Localization for Autonomous Robotic Manipulation", IET Image Processing, Vol. 16, No. 14, pp. 1135-1161, 2022. []

• Debashis Sen (Ed.), “Deep Reinforcement Learning based Brush Stroke Simulation for Image Relighting”, IEEE MMTC Communications – Review, Vol.13, No.1, pp. 5-6, 2022.

• Challa Venkatrao, Rajarshi Pal, Ashish Verma and Debashis Sen, "Image Re-Attentionizing using Particle Swarm Optimization", International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2021.

• Debashis Sen (Ed.), “Nearly-Unsupervised Localization of Sound Sources in Videos ”, IEEE MMTC Communications – Review, Vol.12, No.3, pp. 5-6, 2021.

• Aupendu Kar, Sobhan K. Dhara, Debashis Sen and Prabir Kumar Biswas, "Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder’s Model", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

• Sobhan K. Dhara, Mayukh Roy, Debashis Sen and Prabir Kumar Biswas, "Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Non-linear Color Balancing", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 31, No. 5, pp. 2076-2081, 2021. []

• Vivekraj V. K., Debashis Sen and Balasubramanian Raman, "Vector Ordering and Regression Learning Based Ranking for Dynamic Summarization of User Videos", IET Image Processing, Vol. 14, No. 15, pp. 3941-3956, 2020. []

• Sobhan K. Dhara, Debashis Sen and M. N. S. Swamy, "Hardware-friendly Multi-focus Image Fusion in DCT Domain for Visual Sensor Network", IEEE Access, IEEE Access, Vol.8, pp. 165720 – 165739, 2020. []

• Debashis Sen (Ed.), “Learning Disentangled Representations for Cross-Domain Image Analysis”, IEEE MMTC Communications – Review, Vol.11, No.4, pp. 7-8, 2020.

• Debashis Sen (Ed.), “Adversarial Learning for Video-based Person Re-Identification”, IEEE MMTC Communications – Review, Vol.11, No.1, pp. 5-6, 2020.

• Gokhan Yildirim, Debashis Sen, Mohan Kankanhali and Sabine Susstrunk, "Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency", IET Image Processing, Vol. 14(10), pp. 2249-2261, 2020. [arXiv]

• Sobhan K. Dhara and Debashis Sen, "Exposure Correction and Local Enhancement for Backlit Image Restoration", Pacific-Rim Symposium on Image and Video Technology (PSIVT), Sydney, Australia, 2019.

• Vivekraj V.K., Debashis Sen and Balasubramanian Raman, "Video Skimming: Taxonomy and Comprehensive Survey", ACM Computing Surveys, Accepted, Vol. 52, No. 5, Article No. 106, 2019. [arXiv]

• Ashish Verma and Debashis Sen, "HMM-based Convolutional LSTM for Visual Scanpath Prediction", European Signal Processing Conference (EUSIPCO), A Coruna, Spain, 2019. 

• Harpreet Kaur, Swarnjeet Kour and Debashis Sen, “Video Retargeting through Spatio-temporal Seam Carving using Kalman Filter”, IET Image Processing, IET Image Processing, Vol. 13, No. 11, pp. 1862 – 1872, 2019.

• Sobhan K. Dhara and Debashis Sen, "Across-scale Process Similarity based Interpolation for Image Super-Resolution”, Applied Soft Computing, Vol. 81, Article No. 105508, 2019. [arXiv]

• Dibakar Hazarika, Sobhan Kanti Dhara and Debashis Sen, "Maximally separated averages prediction for high fidelity reversible data hiding", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019.

• Debashis Sen, Samyak Datta and R. Balasubramanian, "Facial Emotion Classification using Concatenated Geometric and Textural Features", Multimedia Tools and Applications, Vol. 78, No. 8, pp. 10287–10323, 2019.

• Atul Mishra, I.A.Sainul, Sudipta Bhuyan, Sankha Deb, Debashis Sen and A.K. Deb, "Development of a Flexible Assembly System Using Industrial Robot with Machine Vision Guidance and Dexterous Multi-finger Gripper", Precision Product-Process Design and Optimization, Editors: Pande, Sanjay S., Dixit, Uday Shanker (Eds.), Springer Lecture Notes on Multidisciplinary Industrial Engineering, pp.31-71, 2018. 

• Debashis Sen (Ed.), “Visual Arts Inspired Aesthetic Quality for Photography Recommendation”, IEEE MMTC Communications – Review,  Vol.9, No.3, pp. 5-6, 2018.

• Sudipta Bhuyan, Debashis Sen and Sankha Deb, “Saliency Based Fast Object Localization and Recognition for Mechanical Assembly”, IEEE Annual India Conference (INDICON), Coimbatore, India, 2018. 

• Sobhan K. Dhara and Debashis Sen, "Low Light Image Enhancement using Grover's Algorithm on Superposed Luminance Levels", IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018.

• Dennis C. Thomas, Prakash K., Gautam Harigovind and Debashis Sen, “Lung Consolidation Detection through Analysis of Vocal Resonance Signals”, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, USA, 2018.

• Debashis Sen and Mohan Kankanhalli, "Early Biological Vision Inspired System for Salience Computation in Images", Multidimensional Systems and Signal Processing, Vol. 29, No. 1, pp. 137-184, 2018. [arXiv]

• Debashis Sen (Ed.), “Popularity Evolution of Internet Video Content”, IEEE MMTC Communications – Review, Vol.8, No.6, pp. 8-9, 2017.

• Debashis Sen (Ed.), “Towards Unsupervised Representation Learning for Video Event Detection”, IEEE MMTC Communications – Review, Vol.8, No.3, pp. 3-4, 2017.

• Vivekraj V.K., Debashis Sen and Balasubramanian Raman, "Vector Ordering based Multimodal Video Skimming for User Videos", IEEE TENCON, Penang, Malaysia, 2017.

• Sobhan Dhara and Debashis Sen, "Interpolation Based on Similarity in Subband Generation for Image Super Resolution", IEEE TENCON, Penang, Malaysia, 2017.

• Swarnjeet Kour, Harpreet Kaur and Debashis Sen, "Image quality measurement through structural similarity based on higher order moments", IEEE Annual India Conference (INDICON), Bangalore, India, 2016.

• Sweta Arya, Debashis Sen and Balasubramanian Raman, "An automatic personalized photo recommender system based on learning user preferences", IEEE Annual India Conference (INDICON), Bangalore, India, 2016.

• Vivekraj V K, Debashis Sen and Balasubramanian Raman, "Vector R-Ordering based Selection of Segments for Video Skimming", in the Proceedings of International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016.

• Harpreet Kaur, Swarnjeet Kour and Debashis Sen, "Prediction Based Seam Carving for Video Retargeting", in the Proceedings of International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016.

• Atul Mishra, Sudipta Bhuyan, Shashwat Agrawal, Sankha Deb and Debashis Sen, "Task level planning and implementation of robotic assembly under machine vision guidance", 6th International & 27th All India Manufacturing Technology, Design and Research Conference, Pune, India, 2016.

• Samyak Dutta, Debashis Sen and Balasubramanian Raman, “Integrating Geometric and Textural Features for Facial Emotion Classication using SVM Frameworks”, International Conference on Computer Vision and Image Processing (CVIP), Roorkee, India, 2016.

List of Papers under Consideration in Journals and Top Conferences:

(This section is primarily to claim authorship and prevent unauthorized duplication of our novel contributions)

• Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen and Prabir Kumar Biswas, "Progressive Update Guided Interdependent Networks for Single Image Dehazing".

• Ashish Verma and Debashis Sen, "ScanFormer: Transformer-based Prediction of Multiple Visual Scanpaths of Different Varieties".

• Ashish Verma, Dishant Satuley and Debashis Sen, "Dynamic Context Learning using Multiple Visual Scanpaths for Action Classification in Still Images".

• Gargi Pillai, Ashish Verma and Debashis Sen, "Transformer and Dual Multi-Layer Differencing Networks for Context-aware Spatio-temporal Anomaly Detection".

• Nitin Desai, Sankha Deb, Debashis Sen, “Occlusion-resilient pose estimation of textureless components in a cluttered environment and its implementation in robotic bin picking”.

• Nitin Desai, Sainul Ansary, Atul Mishra Sankha Deb, Debashis Sen, “Design and Implementation of a Lance for Performing Robot-Assisted Metallurgical Temperature Measurement and Sampling and Robot Trajectory Planning”.