Publications

Books:

3. S. Esakkirajan, T. Veerakumar, B. N. Subudhi, Digital Image Processing: Illustration Using Python. Springer: Singapore, 2025

2. S. Esakkirajan, T. Veerakumar, B. N. Subudhi, Digital Signal Processing: Illustration Using Python. Springer: Singapore, 2024

1. S. Esakkirajan, T. Veerakumar, B. N. Subudhi,  Digital Signal Processing. Tata McGraw Hill: New Delhi, 2021

Patents:

8. M. Panda, B. N Subudhi, V.Jakhetiya, T. Veerakumar, S. Esakkirajan, and A. Ghosh, Provisional USA patent application no.  19/026,922   filed entitled  "System And Method For Thermal Video Surveillance Based On Pyramidal Pooling Architecture".

7. Meghna, A. Chauhan, D. Goel, B. N Subudhi, V.Jakhetiya, V. V. R. Suresh, S. Chaudhury, Provisional Indian patent application no.  202411053490   filed entitled  "A System and a Method for Underwater Image Enhancement ".

6. A. P. Singh, B. Singh, P. Singh, J. Kumar, V. Kumar, S. M. Dadhich, B. N. Subudhi and D. Singh and S. S. Pagoch, Indian patent 451015-001 registered "Smart AI Based Irrigation Control Device ".

5. M. Panda, B. N Subudhi, V.Jakhetiya, T. Veerakumar, S. Esakkirajan, and A. Ghosh, Provisional USA patent application no. 18/411, 060  filed entitled  "Method for Thermal Video Surveillance based on Feature Pooling Module".

4. Meghna, B. N Subudhi, V.Jakhetiya, A. Bansal, T. Veerakumar, A. Ghosh, Provisional USA patent application no. 18230642 filed entitled  "Image Enhancement and Object Detection System for Degraded Underwater Images using Zero-Reference Deep Curve Estimation and G-Unet".

3. A. Ghosh, H. Singh, S. Suman, B. N Subudhi, Vinit Jakhetiya, T. Veerakumar, Provisional USA patent application no. 18122269 filed entitled “Action Detection System for Dark Videos using Spatio-Temporal Features and Bidirectional Encoder Representations from Transformers”. 

2. R. Maruthadurai, T. Veerakumar, B. N. Subudhi,  and S. Esakkirajan, Provisional Indian patent application no. 202221006557 filed entitled “Method and system for detection of stem and root borer infestation”. KSALLP Ref. No. P13240IN00, Published on 11/08/2023.

1. B. N. Subudhi, T. Veerakumar, V. Jakhetiya, and S. Esakkirajan,  Provisional Indian patent application no. 202111053136  filed entitled “A System and Method for Arc-Flash Detection using Local Change Detection and Color Attention”.

Journals:

57. H. Singh, K. Choudhury, B. N. Subudhi, V. Jakhetiya, and T. Veerakumar, "Inter and Intra-snippet Multi-head Attention with Position offset for Action Localization and Recognition", IEEE Transactions on Artificial Intelligence, 2025

56. A. K. Verma, A Mishra, V. Jakhetiya, B. N. Subudhi and S. Jaiswal, "Real-World Video Quality Assessment via Test-Time Adaptation and its application in Real-World Video Super-Resolution," IEEE Transactions on Artificial Intelligence, 2025

55. A. Gupta, S. R. Devasahayam and B. N. Subudhi,"Heart Rate and HRV Estimation Using PPG Based on Superlet Transform and LSTM Network," IEEE Transactions on Instrumentation & Measurement, 2025 (IF: 5.9)

54. P. P. Kerkar, T. Veerakumar, A. D. Rahulkar, M. K. Panda, and B. N. Subudhi, "A Dual-Net With Graph Attention Network for Plant Diseases Identification, " IEEE Sensors, 2025 (IF: 4.5)

53. A. Chauhan, D. Goel, M. Kapoor, B. N. Subudhi and V. Jakhetiya, "Illumination Aware Multi-scale Attention Fusion Model for Underwater Image Enhancement," IEEE Transactions on Artificial Intelligence, 2025

52. M. Kapoor, B. Satya, B. N. Subudhi, V. Jakhetiya, and A. Bansal, "Underwater Surveillance using Spatially Curated Perceptual Loss and Graph Refactored Network", Pattern Recognition, vol. 162, no. 111388, 2025 (IF: 7.5)

51. M. Panda, B. N. Subudhi, T. Veerakumar, and V. Jakhetiya, "Two Streams ResNet-50 Network for Infrared and Visible Image Fusion", Multimedia Tools and Applications, 2025 (IF: 3.0)

50. M. Kapoor, W. Prummel, J. H. Giraldo, B. N. Subudhi, A. Zakharova, A. Bansal and T. Bouwmans, "Graph-based Moving Object Segmentation for Underwater Videos using Semi-supervised Learning", Computer Vision and Image Understanding, vol. 252, no. 104290, 2025 (IF: 4.3)

49. M. Nissar, B. N. Subudhi, A. K. Mishra, V. Jakhetiya, "NICASU: Neurotransmitter Inspired Cognitive AI Architecture for Surveillance Underwater", IEEE Transactions on Artificial Intelligence, vol. 1, no. 1, pp. 1-13, 2025

48. N. Nagaraju, T. Veerakumar, M. Panda, B. N. Subudhi, S. Esakkirajan and T. Bouwmans, "HybridGT: An Integration of Graph Transformer and LSTM for Effective Hyperspectral Band Selection", International Journal of Remote Sensing, vol. 46, no. 3, pp. 1403–1431, 2024.

47. M. Nissar, A. Mishra, and B. N. Subudhi, "Dual Stream Encoder-Decoder Architecture with Feature Fusion Model for Underwater Object Detection", Mathematics, vol. 20, no. 12, pp. 3227, 2024 (IF: 2.3)

46. M. K. Panda, B. N. Subudhi, T. Veerakumar, V. Jakhetiya, and T. Bouwmans, "A Multi-scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection from Thermal Video Scenes", IEEE Transactions on Information Forensics & Security, vol. 19, pp. 7968-7981, 2024 (IF: 6.3)

45. D. Rout, Meghna, B. N. Subudhi, T. Veerakumar, V. Jakhetiya, A. Bansal, "Underwater Visual Surveillance: A Comprehensive Survey", Ocean Engineering, vol. 309, Part 1, 118367, 2024 (IF: 5.0)

44. D. Mumtaz, V. Jakhetiya, B. N. Subudhi, W. Lin, "Non-Subsampled Contourlet Transform and Ground-truth Score Generation based Quality Assessment for DIBR-Synthesized Views", IEEE Transactions on Multimedia, vol. 26, pp. 7873-7886, 2024 (IF: 7.3)

43. M. K. Panda, T. Veerakumar, B. N. Subudhi and V. Jakhetiya, "Bayesian's Probabilistic Strategy for Feature Fusion from Visible and Infrared Images", The Visual Computers, vol. 40, pp. 4221–4233, 2024  (IF: 3.0)

42. M. K. Panda, B. N. Subudhi, T. Veerakumar and V. Jakhetiya, "Modified ResNet-152 Network with Hybrid Pyramidal Pooling for Local Change Detection", IEEE Transactions on Artificial Intelligence, vol. 5, no. 4, pp. 1599-1612, 2024.

41. T. Rasal, T. Veerakumar, B. N. Subudhi, and S. Esakkirajan, "Segmentation of Gastric Cancer from Microscopic Biopsy Images using Deep Learning Approach", Biomedical Signal Processing and Control, Volume 86, Part B, 105250, 2023 (IF: 5.076)

40.  H. Singh, S. Suman, B. N. Subudhi, V. Jakhetiya, and A. Ghosh, "Action Recognition in Dark Videos using Spatio-temporal Features and Bidirectional Encoder Representations from Transformers", IEEE Transactions on Artificial Intelligence, vol. 4, no. 6, pp. 1461-1471, Dec. 2023.

39.  S. Thakur, V. Jakhetiya, B. N. Subudhi, S. P. Jaiswal, L. Li, and W. Lin,"Context Region Identification based Quality Assessment of 3D Synthesized Views", IEEE Transactions on Multimedia, vol. 25, pp. 6183-6193, 2023 (IF: 8.182)

38.  T. Rasal, T. Veerakumar, B. N. Subudhi, and S. Esakkirajan,"Segmentation and Counting of Multiple Myeloma Cells using IEMD based Deep Neural Network", Leukemia Research, 122, 106950, 2022 (IF: 3.715) 

37.  M. K. Panda, A. Sharma, V. Bajpai, B. N. Subudhi, T. Veerakumar and V. Jakhetiya,"Encoder and Decoder Network with ResNet-50 and Global Average Feature Pooling for Local Change Detection", Computer Vision and Image Understanding, Volume 222, 103501, 2022 (IF: 4.886)

36.  T. Rasal, T. Veerakumar, B. N. Subudhi, and S. Esakkirajan,"A Novel Approach for Reduction of the Noise from Microscopy Images using Fourier Decomposition", Biocybernetics and Biomedical Engineering, vol. 42, no. 2,  pp. 615-629, 2022 (IF: 4.314)

35.  T. Rasal, T. Veerakumar, B. N. Subudhi, and S. Esakkirajan,"Fluorescence Microscopy Image Noise Reduction using IEMD based Adaptive Thresholding Approach", Signal, Image and Video Processing, vol. 17, pp. 237–245 (2023) (IF: 2.380) 

34.  D. K. Rout, B. N Subudhi, T. Veerakumar, S. Chaudhury, and J. Soraghan,"Multiresolution Visual Enhancement of Hazy Underwater Scene," Multimedia Tools and Applications, vol. 81, pp. 32907–32936, 2022 (IF: 2.757) 

33. S. Thakur, V. Jakhetiya, S. Chaudhary, B. N. Subudhi, S. C. Guntuku, and W. Lin,"Perceptually Unimportant Information Reduction and Cosine Similarity based Quality Assessment of 3D-Synthesized Images," IEEE Transactions on Image Processing, vol. 31, pp. 2027-2039, 2022 (10.856)

32. S. Thakur, V. Jakhetiya, S. C. Guntuku, D. Mumtaz, and B. N. Subudhi,"Stretching Artifacts Identification for Quality Assessment of 3D-Synthesized Views," IEEE Transactions on Image Processing, vol. 31, pp. 1737-1750, 2022 (10.856)

31. B. N. Subudhi, M. K. Panda, T. Veerakumar, V. Jakhetiya and S. Esakkirajan,"Kernel Induced Possibilistic Fuzzy Associative Background Subtraction for Video Scene",  IEEE Transactions on Computational Social Systems,  vol. 10, no. 3, pp. 1314-1325, 2023. (IF: 5.357)

30. D. Mumtaz, Vinit Jakhetiya, K. Nathwani, B. N. Subudhi, S. Guntuku," Non-Intrusive Perceptual Audio Quality Assessment for User-Generated Content Using Deep Learning", IEEE Transactions on Industrial Informatics, vol. 18, no. 11, pp. 7780-7789, 2022. (IF: 10.215)

29.  P. Bhat, B. N Subudhi, T. Veerakumar and S. Esakkirajan,"A fully Automatic Feature-based Real-Time Traffic Surveillance System using Data Association in the Probabilistic Framework”, IEEE Transactions on Intelligent Transportation Systems,  vol. 23, no. 8, pp. 11088-11097, 2022. (IF: 6.492)

28.  A. Hatua, B. N Subudhi, T. Veerakumar and A. Ghosh,"Early Detection of Diabetic Retinopathy from Big Data in Hadoop Framework”, Displays,  vol. 70, pp. 102061, 2021. (IF: 2.167)

27. P. Mahajan, V. Jakhetiya, P. Abrol, P. Lehana, B. N. Subudhi, and S. C. Guntuku,``Perceptual Quality Evaluation of Hazy Natural Images," IEEE Transactions on Industrial Informatics, vol. 17, no. 12, pp. 8046 - 8056, 2021. (IF: 9.112)

26. P. Bhat, B. N Subudhi, T. Veerakumar, G. D. Caterina, and J. J. Soraghan ,"Target Tracking using a Mean-Shift Occlusion Aware Particle Filter”, IEEE Sensors, vol. 21, no. 8, pp. 10112 - 10121, 2021. (IF: 3.073)   

25. T. Rasal, T. Veerakumar, B. N. Subudhi, and S. Esakkirajan,"Mixed Poisson Gaussian Noise Reduction in Fluorescence Microscopy Images using Modified Structure of Wavelet Transform”, IET Image Processing,  vol.15, no. 7, pp. 1383-1389, 2021. (IF: 2.373)   

24. B. N. Subudhi, T. Veerakumar, S. Esakkirajan and A. Ghosh, "Kernelized Fuzzy Modal Variation for Local Change Detection from Video Scenes”, IEEE Transactions on Multimedia, vol. 22, no. 4, pp. 912-920, 2020. (IF: 5.452) 

23. B. Keerthiveena, S. Esakkirajan, B. N. Subudhi, and T .Veerakumar,"Classification of Ocular health using hybrid BPSO-SVM for feature selection and parameter optimization”, IET Image Processing,  vol. 15, pp. 542–555, 2021. (IF: 2.373)   

22.  D. K. Rout, B. N Subudhi, T. Veerakumar, and S. Chaudhury, "Walsh-Hadamard Kernel based Features in Particle Filter Framework for Underwater Object Tracking”, IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 5712-5722, 2020. (IF: 7.377)   

21. B. N Subudhi, T. Veerakumar, S. Esakkirajan and S. Chaudhury, “Automatic Lecture Video Skimming using Shot Categorization and Contrast based Features,” Expert Systems with Applications, vol. 149,  2020. (IF: 4.292)

20. P. Bhat, B. N Subudhi, T. Veerakumar, V. Laxmi, and M. S. Gaur , "Multi-Feature Fusion in Particle Filter Framework for Visual Tracking,” IEEE Sensors, vol. 20, no. 5, PP. 2405-2415, 2020. (IF: 3.076)  

19. S. T. Shabanam, V. R. Udupi, and B. N. Subudhi, "An efficient framework for increasing image quality using DRN Bi-layer enfolded compressor," Multimedia Tools and Applications, vol. 79, pp. 12401–12426, 2020. (IF: 2.101)   

18. B. N. Subudhi, D. K. Rout and A. Ghosh, "Big Data Analytics for Video Surveillance Applications: A Survey”, Multimedia Tools and Applications, vol. 78, no. 18, pp. 26129–26162 2019. (IF: 1.541) 

17. B. N. Subudhi, T. Veerakumar, S. Esakkirajan and A. Ghosh, "Context Dependent Fuzzy Associated Statistical Model for Intensity Inhomogeneity Correction from Magnetic Resonance Images”, IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, pp. 1-9, 2019. (IF: 1.754)   

16. T. Veerakumar, B. N Subudhi, and S. Esakkirajan, “Empirical mode decomposition and adaptive bilateral filter approach for impulse noise removal,” Expert Systems with Applications, vol. 121, pp. 18-27, 2019. (IF: 3.928)

15.  T. Veerakumar, B. N Subudhi, S. Esakkirajan and P. K. Pradhan, “Iterative Adaptive Unsymmetric Trimmed Shock Filter for High-Density Salt-and-Pepper Noise Removal” Circuits, Systems & Signal Processing,  vol. 38, no. 6, pp. pp 2630–2652,  2019.  (IF: 1.998)

14. D. K. Rout, B. N Subudhi, T. Veerakumar, and S. Chaudhury, “Spatio-Contextual Gaussian Mixture Model for Local Change Detection in Underwater Video,” Expert Systems with Applications, vol. 97, pp. 117-136, 2018. (IF: 3.928)

13.  T. Veerakumar, B. N Subudhi, S. Esakkirajan and P. K. Pradhan, “Context Model based Edge Preservation Filter for Impulse Noise Removal,” Expert Systems with Applications, vol. 88, pp. 29-44, 2017.  (IF: 3.928)

12. T. Veerakumar; R. P. K. Jagannath, B. N. Subudhi, and S. Esakkirajan, "Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation", Circuits, Systems & Signal Processing, vol. 36, no. 3, pp. 1192-1223, 2017. (IF: 1.118)

11. B. N Subudhi, S. Ghosh, P. K. Nanda, and A Ghosh, "Moving Object Detection using Spatio-temporal Multilayer Compound Markov Random Field and Histogram Thresholding based Change Detection", Multimedia Tools and Applications, vol.76, no.11, pp. 13511-13543, 2017. (IF: 1.331)

10. B. N Subudhi, T. Veerakumar, S. Esakkirajan and A. Ghosh, “Tumor or Abnormality Identification from Magnetic Resonance Images using Statistical Region Fusion based Segmentation”, Magnetic Resonance Imaging (Elsevier), vol. 34, no. 9, pp. 1292-1304, 2016. (IF: 2.327)

9. B. N. Subudhi, S. Ghosh, S. C. K. Shiu, and A. Ghosh, "Statistical feature bag based background subtraction for local change detection", Information Sciences, vol. 366, pp. 31-47, 2016. (IF: 4.038)

8. B. N. Subudhi, S. Ghosh, S-B. Cho and A. Ghosh, "Integration of fuzzy Markov random field and local information for separation of moving objects and shadows", Information Sciences, vol. 331, pp. 15-31, 2016. (IF: 4.038) (pdf)

7. B. N. Subudhi, S. Ghosh and A. Ghosh, "Application of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Detecting Moving Objects from Video Sequences Captured by Static Camera", Soft Compting (Springer), vol. 19, no. 10, pp. 2769-2781, 2015. (IF: 1.271) (pdf)

6. B. N. Subudhi, F. Bovolo, A. Ghosh and L. Bruzzone, "Spatio-contextual Fuzzy Clustering with Markov Random Field Model for Change Detection in Remotely Sensed Images", Optics & Laser Technology (Elsevier), vol. 57, pp. 284-292, 2014. (IF: 1.647) (pdf)

5. A. Ghosh, B. N. Subudhi and L. Bruzzone, "Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images", IEEE Transactions on Image Processing, vol. 22, no. 8, pp. 3087-3095, 2013. (IF: 3.625) (pdf)

4. B. N. Subudhi, S. Ghosh and A. Ghosh, "Change Detection for Moving Object Segmentation with Robust Background Construction under Wronskian Framework", Machine Vision and Applications, vol 24, no. 4, pp. 795-809, 2013. (IF: 1.351) (pdf)

3. A. Ghosh, B. N. Subudhi and S. Ghosh, "Object Detection from Videos Captured by Moving Camera by using Fuzzy Edge incorporated Markov Random Field and Local Histogram Matching", IEEE Transactions on Circuits and Systems for Video Technology, vol 22, no. 8, pp. 1127-1135, 2012.  (IF: 2.615) (pdf)

2. B. N. Subudhi, P. K. Nanda and A. Ghosh, "Entropy based region selection for local thresholding to detect moving objects", Pattern Recognition Letters, vol. 32, no. 15, pp. 2097-2108, 2011. (IF: 1.551) (pdf)

1. B. N. Subudhi, P. K. Nanda & A. Ghosh,  “A  change  information  based  fast algorithm for moving Object Detection and Tracking,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 7, pp. 993-1004, 2011. (IF: 2.615) (pdf)

Book Chapter:

6. M. Kapoor, B. N. Subudhi, T. Bouwmans, and A. Bansal, "Towards Graph Refactoring in Latent Space for Underwater Moving Object Detection for Digital Twins In: Handbook on “Digital Twins:  Concept, Applications and Challenges”, CRC Press, Taylor and Francis Group. 2025. (Accepted)

5. W. Prummel, J. Giraldo, B. N. Subudhi, A. Zakharova, and T. Bouwmans, “Transductive and Inductive GNNs for Physical Moving Objects Detection in Surface Scenes for Digital Twins”, Handbook on “Digital Twins: Concept, Applications and Challenges”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, 2025. (Accepted)

4. M. K. Panda, B. N. Subudhi, T. Bouwmans, T. Veerakumar and . Jakheytiya, "Local Changes from Video Scene: “An End to End Encoder- Decoder Type Deep Neural Network Architecture with Feature Pooling", In Pattern Recognition and Computer Vision in the New AI Era (PRCVAIEra), World Scientific Publishing, pp. ---,2025. (Accepted)

3. B. N. Subudhi, T. Veerakumar, S. R. Harathas, R. Prabhudesai, V. Kuppili, V. Jaketiya, “Deep Learning in Auto Encoder Framework and Shape Prior for Hand Gesture Recognition”,  In Smart Computer Vision: Mimicking Human Intelligence, Springer, pp. ---, 2021. (Accepted)

2. T. Veerakumar, B. N. Subudhi, S. Kumar, N. O. F. Da Rocha, S. Esakkirajan, “Shot Boundary Detection from Lecture Video Sequences using Histogram of Oriented Gradients and Radiometric Correlation”, In Smart Computer Vision: Mimicking Human Intelligence, Springer, pp. ---, 2021. (Accepted)

1. B. N. Subudhi, S. Ghosh and A. Ghosh, “Moving Object Detection using Multi-layer Markov Random Field Model”, In Pattern Recognition and Big Data: Ed: S. K. Pal and A. Pal, World Scientific, pp. 687-710, 2016.

Conferences:

50. P. Kumar, H. Singh, G. D. Caterina, B. N. Subudhi, V. Jakhetiya and T. Veerakumar, "Enhancing Spiking Neural Networks with Evidential Deep Learning for Object Classification on Event Based Dataset," in ACM Proceedings of the  Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Mandi, India, 2025

49. A. Bashir, R. Kumar, V. Jakhetiya, B. N. Subudhi, S. Jaiswal, W. Lin, "LLM-TTA: Leveraging Large Language Models for Test-Time Adaptation in Image Quality Assessment," in Proceedings of the 3rd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, New York, United States, 2025

48. N. Nagaraju, T. Veerakumar, M. Panda, and B. N. Subudhi, "Attention-Induced Gated Fusion Framework for Hyperspectral Image Band Selection," in Proceedings of the 2025 IEEE India Geoscience and Remote Sensing Symposium (InGrass), Bhubaneswar, India, 2025

47. H. Singh, A. Dey , B. N. Subudhi, V. Jakhetiya and T. Veerakumar, "T-GAP: Temporal Granularity Aware Projection Network for Action Localization," in Proceedings of the IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS), Tainan, Taiwan, 2025

46. Meghna, V. Jakhetiya, B. N. Subudhi, A. Bansal, W. Lin, "Feature Affinity based Clustering for Test-Time Adaptation for Image Quality Assessment", in Proceedings of the IEEE Conference on Multimedia and Expo. (ICME), Nantes, France, 2025. 

45. A. K. Verma, S. Tripathi, V. Jakhetiya, B. N. Subudhi and S. Jaiswal, "ScrVSR: Screen Sharing Video Super-Resolution," in Proceedings of the IEEE  Conference on Multimedia and Expo Workshops (ICMEW), Nantes, France, 2025, pp. 1-6

44. A. Sharma, Saumya, M. Verma, H. Singh, B. N. Subudhi, V. Jakhetiya, and U. Satija, "SW-LSTM: Strong-Weak Long Short-Term Memory Fusion Network for Forecasting Pandemic Spread", Proceedings of the 21st IEEE International Colloquium on Signal Processing & its Applications, Penang, Malaysia, 2025.

43. A. K. Verma, S. Tripathi, V. Jakhetiya, B. N. Subudhi, S. Jaiswal, "Q-CIDNet: Perceptual Quality aware Color and Intensity Decoupling Network for Video Quality Enhancement," Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops, Nashville, TN, USA, 2025, pp. 1247-1253

42. M. Verma, S. Dixit, H. Singh, B. N. Subudhi, V. Jakhetiya, R. Kaul, "Detect Before Decay: Early Diagnosis of Dental Caries via Intraoral Scans," Proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2025), Jammu, India, 2025.

41. G. S. Chauhan, M. Kapoor, and B. N. Subudhi, "Explainability-Driven Multimodal Glioma Segmentation Using a Hybrid CNN-Transformer Architecture and IoU-Based Attribution Analysis," Proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2025), Jammu, India, 2025.

40. M. Nissar, B. N. Subudhi, A. K. Mishra, "A Human Vision Neuroscience-Driven Deep Neural Framework for Change Detection in Underwater Scenes," Proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2025), Jammu, India, 2025.

39. Meghna, B. N. Subudhi, and A. Bansal, ”Graph Refinement in Latent Space: A Hypergraph Convolution for Underwater Object Detection”, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, 2025.

38. M.Verma, H. Singh, B. N. Subudhi, V. Jakhetiya, and U. Satija, ”Self-Attention based Architecture for Forecasting the Pandemic Spread in India”, Proceedings of the IEEE India Council International Conference (INDICON), Kharagpur, India, 2024.

37. Meghna, B. N. Subudhi, V. Jakhetiya and A. Bansal, "Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection", Proceedings of the International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024.

36. H. Singh, A. Dey, B. N. Subudhi and V. Jakhetiya, "Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos", Proceedings of the International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024.

35. M. Nissar, B. N.  Subudhi, V. Jakhetiya and A. Mishra, "Underwater Change Detection using Multiple Sampling-Based Probabilistic Learner and Feature Preservance Discriminator ", Proceedings of the International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2024.

34. Meghna, R. Baghel, B. N.  Subudhi, V. Jakhetiya and A. Bansal, "Domain Adversarial Learning Towards Underwater Image Enhancement", Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Paris, France, 2023, pp. 2233-2243.

33. A. Nema, V. Jakhetiya, S. Jaiswal, B. N.  Subudhi and S. C. Guntuku, "Measuring Underwater Image Quality with Depthwise-separable Convolutions and Global-sparse Attention", Proceedings of the IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Poitiers, France, 2023, pp. 1-6.

32. S K. Mistry, S. Chatterjee, A. K. Verma, V. Jakhetiya, B. N. Subudhi and S. Jaiswal, "Drone-vs-Bird: Drone Detection Using YOLOv7 with CSRT Tracker", Proceedings of the 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2023, pp. 1-2.

31. Meghna, S. Patra, B. N. Subudhi, V. Jakhetiya, and A. Bansal, "Underwater Moving Object Detection using an End-to-End Encoder-Decoder Architecture and GraphSage with Aggregator and Refactoring", Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, Canada, 2023, pp. 5636-5645.

30. S. Suman, N. Naharas, B. N. Subudhi, and V. Jakhetiya, "Two-streams: Dark and Light Networks with Graph Convolution for Action Recognition from Dark Videos", 37th AAAI Conference on Artificial Intelligence (AAAI), Accepted, Washington DC, USA, 2022. (Student Abstract)

29. M. K. Panda, B. N. Subudhi, T. Bouwmans, V. Jakheytiya and T. Veerakumar, "An End to End Encoder-Decoder Network with Multi-scale Feature Pooling for Detecting Local Changes From Video Scene",  Proceedings of the 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS2022), Madrid, Spain, 2022, pp. 1-8.

28. Jinjin Gu, Haoming Cai, ..., Abhisek Keshari, Sadbhawana Thakur, Vinit Jakhetiya, Badri N Subudhi,.., Anil Kumar Tiwari, "NTIRE 2022 challenge on perceptual image quality assessment",  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW2022), New Orleans, Louisiana, 2022, pp. 950-966.

27. M. Panda, B. N. Subudhi, T. Veerakumar, and V. Jakhetiya, "Integration of Bi-dimensional Empirical Mode Decomposition With Two Streams Deep Learning Network for Infrared and Visible Image Fusion", 30th European Signal Processing Conference (EUSIPCO 2022), Belgrade, Serbia, Serbia, 2022, pp. 493-497.

26. H. Singh, Tirupati P., B. N. Subudhi, V. Jakhetiya, "C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos", 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2022, pp. 13051-13052. (Student Abstract)

25. Sadbhawna, V. Jakhetiya, B. N. Subudhi, H. Shakya, D. Mumtaz, "Do we need a new large-scale quality assessment database for Generative Inpainting based 3D View Synthesis ?", 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2022, pp. 13039-13040. (Student Abstract)

24. Subham Chaudhary, Parima Jain, Vinit Jakhetiya, Sharath Guntuku, B. N. Subudhi, "Localizing Features with Masking for Satellite and Debris Classification",  28th International Conference on Image Processing (ICIP), AK, USA, 2021, pp. 16-20.

23. V. Bajpai, A. Sharma, B. N. Subudhi, T. Veerakumar, V. Jakheytiya, "Underwater U-Net: Deep Learning with U-Net for Visual Underwater Moving Object detection", IEEE OCEANS: San Diego – Porto, San Diego, CA, USA, 2021, pp. 1-4.  

22. P. Pradhan, A. Mazumder, S. Mandal, and B. N. Subudhi, "Fusion-UWNet: Multi-channel Fusion-based Deep CNN Network for Underwater Image Enhancement", IEEE OCEANS: San Diego – Porto, San Diego, CA, USA, 2021, pp. 1-5.  

21. S. Chaudhary, A. Mazumder, D. Mumtaz, V. Jakhetiya, B. N. Subudhi, "Perceptual Quality Assessment of DIBR Synthesized Views Using Saliency Based Deep Features," IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 2021, pp. 2628-2632.

20. S. Chaudhary, S. Thakur, V. Jakhetiya, B. N. Subudhi, U. Baid, S. C. Guntuku, "Detecting COVID-19 and Community Acquired Pneumonia using Chest CT-Scan Images with Deep Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing  (ICASSP), Toronto, ON, Canada, 2021, pp. 8583-8587. (Challenge Paper: Rank#2, Won Runner-up prize)

19. M. K. Panda, B. N Subudhi, T. Veerakumar, and M. S. Gaur, "Edge Preserving Image Fusion using Intensity Variation Approach”, 16th IEEE TENCON, pp. 251-256, Osaka, Japan, 2020, pp. 251-256.

18. M. K. Panda, B. N Subudhi, T. Veerakumar, and M. S. Gaur, "Pixel-level Visual and Thermal Images Fusion Using Maximum and Minimum Value Selection Strategy”, IEEE International Symposium on Sustainable Energy, Signal Processing & Cyber Security, pp. 1-6, Gunupur, India, 2020.  

17. A. Mahindrakar, M. P. Chodankar, R. Kumar, T. Veerakumar, B. N. Subudhi, "Gaussian Mixture Model and Color Separation Models for the Arc-Flashover Detection”, IEEE International Symposium on Sustainable Energy, Signal Processing & Cyber Security, pp. 1-6, Gunupur, India, 2020.  (Best Paper Award)

16. D. K. Rout, B. N Subudhi, T. Veerakumar, and S. Chaudhury, "Prominent Object Detection in Underwater Environment using a Dual-feature Framework”, 65th IEEE OCEANS, pp. 1-5, Singapore, 2020.  

15.  B. Keerthiveena, T. Veerakumar, S. Esakkirajan, and B. N. Subudhi, "Computer-aided diagnosis for Diabetic Retinopathy based on Firefly Algorithm," in Proceedings of 11th International Conference on Advanced Computing (ICoAC), pp. 310-315, Chennai, India, 2019, pp. 310-315. 

14. D. K. Rout, P. Bhatt, B. N. Subudhi, T. Veerakumar, and S. Chaudhury“A Novel Five-frame Difference Scheme for Local Change Detection in Under Water Video”, 4th International Conference on Image Information Processing (ICIIP), pp. 1-6, Shimla, India, 2017. (Best Algorithmica Paper Award)

13. P. Bhatt, D. K. Rout, B. N. Subudhi, and T. Veerakumar, “Vision Sensory Substitution Aids the Blind in Reading and Object Recognition”, 4th 4th International Conference on Image Information Processing (ICIIP), pp. 1-6, Shimla, India, 2017. (Best Thematic Paper Award)

12. B. N. Subudhi, T. Veerakumar, D. Yadav, A. P. Suryavanshi, Disha. S. N., “Video skimming for lecture video sequences using histogram based low level features”, in Proceedings of 7th IEEE International Advance Computing, pp. 684-689, Hyderabad, India, 2017.

11. B. N. Subudhi, I. Patwa, A. Ghosh & S. B. Cho, “Color Aerial Image Segmentation using Edge Preserving Region Growing Technique”, in Proceedings of International Conference on Intelligent Computing, Communication & Devices , vol. 2, pp. 481-488, Bhubaneswer, India, 2014. (pdf)

10. A. Mondal, B. N. Subudhi, M. Roy, S. Ghosh & A. Ghosh, “A Comparative Study on Different Classifiers based Moving Object Tracking Techniques”, in Proceedings of International  Conference on Intelligent Computing, Communication & Devices, vol. 1, pp. 571-578, Bhubaneswer, India, 2014. (pdf)

9. B. N. Subudhi, S. Ghosh and A. Ghosh, “Moving Object Detection using Gaussian Background Model and Wronskian Framework”, Accepted for publication in the Proceedings of 2nd International Symposium Pattern Recognition and Image Processing (PRIP) (Published by IEEE), Mysore, India, 2013. (pdf)

8. B. N. Subudhi, S. Ghosh and A. Ghosh, “Spatial Constraint Hopfield-Type Neural Networks for Detecting Changes in Remotely Sensed Multitemporal Images” Proceedings of 20th International Conference on Image Processing (ICIP) (Published by IEEE Computer Society), pp. 3815-3819, Melbourne, Australia, 2013. (pdf)

7. B. N. Subudhi, S. Ghosh & A. Ghosh, Object and Shadow separation using Fuzzy Markov Random Field and Local Gray Level Co-occurrence Matrix based Textural Features ",Proceedings  of  12th International Conference on  Intelligent Systems Design and Applications (ISDA)  (Published by IEEE),pp. 95-100, Kochi, India, 2012. (pdf)

6. B. N. Subudhi & A. Ghosh, Moving Objects Detection from Video Sequences using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching ",Proceedings  of  4th International Conference on Pattern Recognition and Machine Intelligence (PReMI) ,pp. 173-179, Moscow, Russia, 2011. 

5. B. N. Subudhi, P. K. Nanda & A. Ghosh, “Moving Object Detection Using MRF Model And Entropy based Adaptive Thresholding,”  Proceedings of IEEE 2nd International Conference on Human Computer Interaction (IHCI), vol. 1, 155–161, Allahabad, India2010. (pdf)

4. B. N. Subudhi & P. K. Nanda, “An evolutionary based slow and fast moving video object detection scheme using Compound Markov Random Field Model,” Proceedings of IEEE - 6th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) (Published by IEEE Computer Society),  vol.1, pp. 398-405, Bhubaneswar, India, Dec 2008. 

3. B. N. Subudhi & P. K. Nanda, “Detection of Slow Moving Video Object using Compound Markov Random Field Model,” Proceedings of IEEE- TENCON 2008 , Hyderabad, India, 2008.

2.  B. N. Subudhi & P. K. Nanda, “Moving Object Detection Using Compound Markov random Field Model,”Proceedings of IEEE Conference Computational Intelligence, Control and ComputerVision in Robotics and Automation (CICCRA-2008), vol.1, pp.198-204, Rourkela, India, 2008 . (pdf)

1. B. N. Subudhi & P. K. Nanda, “Compound Markov random field Model based video segmentation,” Proceedings of SPIT-IEEE colloquium and International conference   2007-   2008, vol.1, pp. 97-102, Bombay, India, 2008. (pdf)

Technical Report:

1. A. Ghosh, B. N. Subudhi and B. Uma Shankar, "Moving Object Detection and Tracking: Review", MIU/TR-01/12.

National Journals/Proceedings:

2. D. R. Edla, V. S. Samy, B. N. Subudhi, & T. Veerakumar, “Antarctica Glacier/ Sea Ice Motion Tracking by using Soft Computing Techniques”, Proceedings of 36th Indian Scientific Expedition to Antarctica, pp. 106-107, 2016.  

1. B. N. Subudhi, “Multi Layer Compound Markov Random Field: A Spatio-temporal Model based Video Image Segmentation”, Proceedings of Indian Science Congress Association, Vol. 1, pp. 31, 2013. 

Few Unpublished Work

 1. Video Image Segmentation and object detection survey

2. Video Image Segmentation using Spatiotemporal MRF Model for Surveillance