Representative publications

Book Chapters
Journals
Conferences

More details to be found at Google Scholar


Book Chapters

    1. Shivam Pande and Biplab Banerjee. “Deep Learning and Hyperspectral Images.” Deep Learning for Multi-Sensor Earth Observation. Elsevier, 2025, pp. 87–123.
    2. Debabrata Pal, Yogananda Jeppu, and Biplab Banerjee. “Few-shot Open-Set Recognition of Hyperspectral Images.” Advances in Machine Learning and Image Analysis for GeoAI. Elsevier, 2024, pp. 27–53.
    3. Ankit Jha and Biplab Banerjee. “Self-Distillation with the New Paradigm in Multi-Task Learning.” Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems. Springer International Publishing, 2023, pp. 169–192.
    4. Shabnam Choudhury and Biplab Banerjee. “Deep Learning: A Catalyst for Sustainable Agriculture Transformation.” Harnessing Data Science for Sustainable Agriculture and Natural Resource Management. Springer Nature Singapore, 2024, pp. 173–199.

Peer-reviewed journals

    1. Uddeshya Singh; Aniket Thomas; Aishwarya Agarwal; Srikrishna Karanam; Biplab Banerjee. “GENIE: A Visual-Only Diffusion Framework for Task- Agnostic Image Transformation.” Transactions on Machine Learning Research (TMLR), 2026.
    2. Dipesh Tamboli; Souradip Chakraborty; Aditya Malusare; Biplab Banerjee; Amrit Singh Bedi; Vaneet Aggarwal. “BalancedDPO: Adaptive Multi-Metric Alignment.” Transactions on Machine Learning Research (TMLR), 2026.
    3. Sanchar Palit; Subhasis Chaudhuri; Biplab Banerjee. “Local-Global Context-Aware and Structure-Preserving Image Super-Resolution.” Neurocomputing (Elsevier), 2026.
    4. Shruthi Akkala; Tanisha Chawada; Saikat Dutta; Subhasis Chaudhuri; Biplab Banerjee. “SCOPE: Segmenting Common Objects with Prompt-conditioned Encoding and SAM Distillation.” Pattern Recognition Letters (Elsevier), 2026.
    5. H. Aparna; Biplab Banerjee; Avik Hati. “A Contrastive Learning and Prototypical Alignment-based Crossmodal Remote Sensing Image Retrieval.” Expert Systems with Applications (Elsevier), 2026.
    6. Saikat Dutta; Akhil Vasim; Hamid Rezatofeghi; Biplab Banerjee. “AerOSeg++: Scale-Aware and Texture-Guided Open-Vocabulary Segmentation with SAM Features for Remote Sensing Images.” ACM Transactions on Multimedia Computing, Communications, and Applications, 2026.
    7. Samrat Mukherjee; Thivyanth Venkateswaran; Eric Nuertey Coleman; Luigi Quarantiello; Julio Hurtado; Vincenzo Lomonaco; Gemma Roig; Subhasis Chaudhuri; Biplab Banerjee. “PGO-BEN: Proxy-Guided Orthogonalization and Beta Ensembling for Few-Shot Domain-Incremental Learning.” Transactions on Machine Learning Research (TMLR), 2026.
    8. Izzeddin Teeti; Aniket Thomas; Munish Monga; Sachin Kumar Giroh; Uddeshya Singh; Andrew Bradley; Biplab Banerjee; Fabio Cuzzolin. “ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction.” Transactions on Machine Learning Research (TMLR), 2025.
    9. Shirsha Bose; Mainak Singha; Ankit Jha; Souradeep Mukhopadhyay; Biplab Banerjee. “Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models.” Transactions on Machine Learning Research (TMLR), 2025.
    10. Shabnam Choudhury; Pratham Kurkure; Biplab Banerjee. “Improving Visual Grounding in Remote Sensing Images with Adaptive Modality Guidance.” ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2025.
    11. Ankit Jha; Mainak Singha; Avigyan Bhattacharya; Biplab Banerjee. “RS3Lip: Consistency for Remote Sensing Image Classification on Part Embeddings using Self-Supervised Learning and CLIP.” Computer Vision and Image Understanding (CVIU), Elsevier, 2024.
    12. Ashwin Nair; Xingjian Li; Bhupendra Solanki; Souradeep Mukhopadhyay; Ankit Jha; Mostofa Rafid Uddin; Mainak Singha; Biplab Banerjee; Min Xu. “Towards molecular structure discovery from Cryo-ET density volumes via modeling auxiliary semantic prototypes.” Briefings in Bioinformatics, 2024.
    13. Afsana Ahmed Munia; Moloud Abdar; Mehedi Hasan; Mohammad S. Jalali; Biplab Banerjee; Abbas Khosravi; Ibrahim Hossain; Huazhu Fu; Alejandro F. Frangi. “Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation.” Information Fusion, 2024.
    14. Swarnendu Sekhar Ghosh; Dipankar Mandal; Sandeep Kumar; Narayanarao Bhogapurapu; Biplab Banerjee; Paul Siqueira; Avik Bhattacharya. “An Evidence Modified Gaussian Process Classifier (EM-GPC) for crop classification using dual-polarimetric C- and L-band SAR data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024.
    15. Shabnam Choudhury; Devansh Saini; Biplab Banerjee. “Boosting cross-modal retrieval in remote sensing via a novel unified attention network.” Neural Networks, Elsevier, 2024.
    16. Valay Bundele; Mahesh Bhupati; Biplab Banerjee; Aditya Grover. “Scaling vision-and-language navigation with offline RL.” Transactions on Machine Learning Research (TMLR), 2024.
    17. Vaishali Bhujade; Vijay Sambhe; Biplab Banerjee. “Digital image noise removal towards soybean and cotton plant disease using image processing filters.” Expert Systems with Applications, Elsevier, 2024.
    18. Shirsha Bose; Ritesh Sur-Chowdhury; Debabrata Pal; Shivasish Bose; Biplab Banerjee; Subhasis Chaudhuri. “MultiScale probability map guided index pooling with attention-based learning for road and building segmentation.” ISPRS Journal of Photogrammetry and Remote Sensing, 2023.
    19. Shirsha Bose; Ankit Jha; Hitesh Kandala; Biplab Banerjee. “Beyond boundaries: A novel data-augmentation discourse for open domain generalization.” Transactions on Machine Learning Research (TMLR), 2023.
    20. Ankit Jha; Biplab Banerjee. “MDFS-Net: Multi-domain few-shot classification for hyperspectral images with support set reconstruction.” IEEE Transactions on Geoscience & Remote Sensing (TGRS), 2023.
    21. Debabrata Pal; Shirsha Bose; Deeptej More; Ankit Jha; Biplab Banerjee; Yogananda Jeppu. “MAML-SR: Self-Adaptive Super-Resolution Networks via Multi-scale Optimized Attention-aware Meta-Learning.” Pattern Recognition Letters (PRL), 2023.
    22. Sandika Biswas; Kejie Li; Biplab Banerjee; Hamid Rezatofeghi; Subhasis Chaudhuri. “Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach.” IEEE Robotics and Automation Letters (RA-L), 2023.
    23. Debabrata Pal; Shirsha Bose; Biplab Banerjee; Yoga Jeppu. “Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images.” IEEE Transactions on Geoscience & Remote Sensing (TGRS), 2023.
    24. Shivam Pande; Biplab Banerjee. “Self-supervision-assisted multimodal remote sensing image classification with coupled self-looping convolution networks.” Neural Networks, Elsevier, 2023.
    25. Harshula Tulapurkar; Biplab Banerjee; Krishna Mohan Buddhiraju. “Multi-head attention with CNN and wavelet for classification of hyperspectral images.” Neural Computing and Applications, Springer, 2022.
    26. Anwesh Mohanty; Biplab Banerjee; Rajbabu V. “SSMTReID-Net: Multi-Target Unsupervised Domain Adaptation for Person Re-Identification.” Pattern Recognition Letters (PRL), Elsevier, 2022.
    27. Ushasi Chaudhuri; Ruchika Chavhan; Biplab Banerjee; Anjan Dutta; Zeynep Akata. “BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR.” Neurocomputing, Elsevier, 2022.
    28. Ushasi Chaudhuri; Rupak Bose; Biplab Banerjee; Avik Bhattacharya; Mihai Datcu. “Zero-Shot Cross-Modal Retrieval for Remote Sensing Images with Minimal Supervision.” IEEE Transactions on Geoscience & Remote Sensing (TGRS), IEEE, 2022.
    29. Hitesh Kandala; Sudipan Saha; Biplab Banerjee; Xiao Zhu. “Exploring Transformer and multi-label classification for remote sensing image captioning.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2022.
    30. Sayan Rakshit; Anwesh Mohanty; Ruchika Chavhan; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri. “FRIDA: Generative Feature Replay for Incremental Domain Adaptation.” Computer Vision & Image Understanding (CVIU), Elsevier, 2022.
    31. Shivam Pande; Biplab Banerjee. “HyperLoopNet: Hyperspectral Image Classification using Multiscale Self-Looping Convolutional Networks.” ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021.
    32. Rupak Bose; Ashutosh; Biplab Banerjee; Subhasis Chaudhuri. “DARK: Few-shot remote sensing colorization using label conditioned color injection.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    33. Ushasi Chaudhuri; Subhadip Dey; Biplab Banerjee; Mihai Datcu; Avik Bhattacharya. “Inter-band Retrieval and Classification Using the Multi-labeled Sentinel-2 BigEarthNet Archive.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE, 2021.
    34. Mani Shankar Dey; Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya. “Dual-Path Morph-UNet for Road and Building Segmentation from Satellite Images.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    35. Abhinaba Roy; Biplab Banerjee; Amir Hossain; Soujanya Poria. “Discriminative Dictionary Design for Action Classification in Still Images and Videos.” Cognitive Computation, Springer, 2021.
    36. Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya; Mihai Datcu. “Attention Driven Graph Convolution Network for Remote Sensing Image Retrieval.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    37. Ayush Bhardwaj; Sakshee Pimpale; Saurabh Kumar; Biplab Banerjee. “Empowering Knowledge Distillation via Open Set Recognition for 3D Point Cloud Classification.” Pattern Recognition Letters (PRL), Elsevier, 2021.
    38. Subhadip Dey; Ushasi Chaudhuri; Narayan Bhogapurapu; Juan Sanchez-Lopez; Biplab Banerjee; Avik Bhattacharya; Dipankar Mandal; Y. S. Rao. “Synergistic Use of TanDEM-X and Landsat-8 Data for Crop-type Classification and Monitoring.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE, 2021.
    39. Debabrata Pal; Valay Bundele; Biplab Banerjee; Yoga Jeppu. “SPN: Stable Prototypical Network for Few-Shot Learning-Based Hyperspectral Image Classification.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    40. Divakar Bhat; Biplab Banerjee; Subhasis Chaudhuri; Avik Bhattacharya. “CILEA-NET: A Curriculum-driven Incremental Learning Network for Remote Sensing Image Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE, 2021.
    41. Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya; Mihai Datcu. “A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    42. Saurabh Kumar; Biplab Banerjee; Subhasis Chaudhuri. “Improved Landcover Classification using Online Spectral Data Hallucination.” Neurocomputing, Elsevier, 2021.
    43. Shivam Pande; Biplab Banerjee. “Adaptive hybrid attention network for hyperspectral image classification.” Pattern Recognition Letters (PRL), Elsevier, 2021.
    44. Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya; Mihai Datcu. “CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval.” Image and Vision Computing, Elsevier, 2020.
    45. Subhadip Dey; Ushasi Chaudhuri; Dipankar Mandal; Avik Bhattacharya; Biplab Banerjee; Heather McNairn. “BiophyNet: A Regression Network for Joint Estimation of Crop Biophysical Parameters from SAR Data.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2020.
    46. Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya; Mihai Datcu. “CMIR-NET: A Deep Learning Based Model for Cross-Modal Retrieval in Remote Sensing.” Pattern Recognition Letters, Elsevier, 2020.
    47. Subhadip Dey; Dipankar Mandal; Laura Dingle Robertson; Biplab Banerjee; Vineet Kumar; Heather McNairn; Avik Bhattacharya; Y. S. Rao. “In-season crop classification using elements of the Kennaugh matrix derived from polarimetric RADARSAT-2 SAR data.” International Journal of Applied Earth Observation & Geoinformation, Elsevier, 2020.
    48. Nagma Khan; Subhasis Chaudhuri; Biplab Banerjee. “Graph Convolutional Network for Multi-label VHR Remote Sensing Scene Recognition.” Neurocomputing, Elsevier, 2019.
    49. Akashdeep Goel; Biplab Banerjee; Aleksandra Pizurica. “Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2019.
    50. Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya. “Siamese Graph Convolutional Network for Content-Based Remote Sensing Image Retrieval.” Computer Vision and Image Understanding (CVIU), Elsevier, 2019.
    51. Swati Gupta; Biplab Banerjee. “Unsupervised Event Detection using Self-Learning Based Max-Margin Clustering: Analysis on Streaming Tweets.” IETE Journal of Research, 2018.
    52. Biplab Banerjee; Subhasis Chaudhuri. “Scene Recognition from Optical Remote Sensing Images Using Mid-Level Deep Feature Mining.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2018.
    53. Abhinaba Roy; Biplab Banerjee; Vittorio Murino. “Discriminative Body Part Interaction Mining for Mid-Level Action Representation and Classification.” Journal of Visual Communication and Image Representation, Elsevier, 2018.
    54. Biplab Banerjee; Subhasis Chaudhuri. “Hierarchical Subspace Learning Based Unsupervised Domain Adaptation for Cross-Domain Classification of Remote Sensing Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE, 2017.
    55. Biplab Banerjee; Krishna Mohan Buddhiraju. “Domain Adaptation in the Absence of Source Domain Labeled Samples - A Coclustering-Based Approach.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2016.
    56. Biplab Banerjee; Francesca Bovolo; Avik Bhattacharya; Lorenzo Bruzzone; Subhasis Chaudhuri; B. Krishna Mohan. “A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pairs.” IEEE Transactions on Geoscience & Remote Sensing (TGRS), IEEE, 2015.
    57. Biplab Banerjee; Francesca Bovolo; Avik Bhattacharya; Lorenzo Bruzzone; Subhasis Chaudhuri; B. Krishna Mohan. “A New Self-Training-Based Unsupervised Satellite Image Classification Technique Using Cluster Ensemble Strategy.” IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2015.
    58. Biplab Banerjee; Surender Varma; Krishna Mohan Buddhiraju; Laxmi Narayana Eeti. “Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modified Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE, 2014.
    59. Biplab Banerjee; B. Krishna Mohan. “A Novel Graph-Based Fuzzy Clustering Technique for Unsupervised Classification of Remote Sensing Images.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014.
    60. Biplab Banerjee; Avik Bhattacharya; Krishna Mohan Buddhiraju. “A Generic Land-Cover Classification Framework for Polarimetric SAR Images Using the Optimum Touzi Decomposition Parameter Subset: An Insight on Mutual Information-Based Feature Selection Techniques.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE, 2014.
    61. Biplab Banerjee; Krishna Mohan Buddhiraju; Surender Varma Gadhiraju; Laxmi Narayana Eeti. “Building Extraction from High Resolution Multi-Spectral Satellite Images.” Urban and Regional Data Management: UDMS Annual, 2013.

Conference proceedings

    1. Mainak Singha; Tanisha Gupta; Ankit Jha; Muhammad Haris Khan; Sayantani Ghosh; Biplab Banerjee. “BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs.” Findings of the Association for Computational Linguistics (ACL Findings), 2026.
    2. Manishit Kundu; Tejomay Kishor Padole; Sumit Shekhar; Biplab Banerjee; Pushpak Bhattacharyya. “CaRVE: Critiquing and Refining Visual Elaborations for Figurative Language Illustrations.” Findings of the Association for Computational Linguistics (ACL Findings), 2026.
    3. Mainak Singha; Sarthak Mehrotra; Paolo Casari; Subhasis Chaudhuri; Elisa Ricci; Biplab Banerjee. “CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
    4. Siddhant Gole; Akash Pal; Amit More; Divakar Bhat; Subhasis Chaudhuri; Biplab Banerjee. “Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
    5. Ushasi Chaudhuri; Papia Mahato; Shaipesh Deshpande; Biplab Banerjee. “An End-to-End Trainable Multi-Scale CRF Framework for Decision Fusion in Multi-Modal Remote Sensing Classification.” Perception beyond Visible Spectrum, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2026.
    6. Maram Hassan; Aminur Hossain; Savitra Roy; Souparna Bhowmik; Ayush Patel; Mainak Singha; Subhasis Chaudhuri; Muhammad Haris; Biplab Banerjee. “GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing.” Workshop on Foundation and Large Vision Models in Remote Sensing, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2026.
    7. Aminur Hossain; Ayush Patel; Siddhant Gole; Sanjay Singh; Biplab Banerjee. “HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation.” Domain Generalization: Evolution, Breakthroughs, and Future Horizons, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2026.
    8. Pankhi Kashyap; Mainak Singha; Biplab Banerjee. “Bi-Modal Textual Prompt Learning for Vision-Language Models in Remote Sensing.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026.
    9. Siddhant Gole; Akash Pal; Ankit Jha; Subhasis Chaudhuri; Biplab Banerjee. “HIDISC: A Hyperbolic Vision-informed Semantic Text Alignment for Open-Set Recognition in Remote Sensing.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026.
    10. Shabnam Chaudhuri; Yash Salunkhe; Vaibhav Rajan; Subhasis Chaudhuri; Biplab Banerjee. “X-JEPA: A Novel Joint Learning Cross-Modal Predictive Alignment Framework for Remote Sensing Image Retrieval.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026.
    11. Vaibhav Rathode; Divyam Gupta; Biplab Banerjee. “HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery.” Conference on Neural Information Processing Systems (NeurIPS), 2025.
    12. Akash Agarwal; Saprativa Bhattacharjee; Mauli Rastogi; Jemima Jacob; Biplab Banerjee; Rashmi Gupta; Pushpak Bhattacharya. “ReDepress: A Cognitive Framework for Predicting Depression Relapse from Social Media.” Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
    13. Moloud Abdar; Mehdi Hasan; Biplab Banerjee; Abbas Khosravi; Pietro Lio. “Catching the Unknown with Limited Data: Bi-Directional Prompt Tuning in CLIP for Few-Shot Open-Set Adaptation.” British Machine Vision Conference (BMVC), 2025.
    14. Munish Monga; Vishal Chudasama; Pankaj Wasnik; Biplab Banerjee. “DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic.” IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
    15. Mainak Singha; Subhankar Roy; Sarthak Mehrotra; Ankit Jha; Moloud Abdar; Biplab Banerjee; Elisa Ricci. “FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models.” IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
    16. Sharath Naganna; Saprativa Bhattacharjee; Biplab Banerjee; Pushpak Bhattacharya. “My Life is Miserable, Have to Sign 500 Autographs Everyday: Exposing Humblebragging, the Brags in Disguise.” Findings of the Association for Computational Linguistics (ACL Findings), 2025.
    17. N. C. Mohamad Hassan; Divyam Gupta; Mainak Singha; Sai Bhargav Rongali; Ankit Jha; Muhammad Haris Khan; Biplab Banerjee. “OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    18. Vaibhav Rathore; Shubhranil B.; Saikat Dutta; Sarthak Mehrotra; Zsolt Kira; Biplab Banerjee. “When Domain Generalization Meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    19. Tanuj Sur; Samrat Mukherjee; Kaizer Rahaman; Subhasis Chaudhuri; Muhammad Haris Khan; Biplab Banerjee. “Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    20. Yuzhen Hu; Biplab Banerjee; Saurabh Prasad. “Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features.” TerraByte, International Conference on Machine Learning Workshops, 2025.
    21. Saikat Dutta; Akhil Vasim; Siddhant Gole; Hamid Rezatofeghi; Biplab Banerjee. “AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images.” EarthVision, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2025.
    22. Hariseetharam Gunduboina; Muhammad Haris Khan; Biplab Banerjee. “FrogDogNet: Fourier Frequency Retained Visual Prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing.” EarthVision, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2025.
    23. Shabnam Chowdhury; Yash Salunkhe; Sarthak Mehrotra; Biplab Banerjee. “REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval.” EarthVision, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2025.
    24. Akhil Vasim; Pankhi Kashyap; Shabnam Chowdhury; Biplab Banerjee. “Spatially-Aware Cross-Modal Contrastive Learning for Low-Shot HSI Classification.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
    25. Samrat Mukherjee; Tanuj Sur; Saurish Seksaria; Subhasis Chaudhuri; Gemma Roig; Biplab Banerjee. “UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
    26. Sai Bhargava; Mohammad Hassan; Ankit Jha; Neha Bhargava; Saurabh Prasad; Biplab Banerjee. “Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
    27. Sanchar Palit; Biplab Banerjee; Subhasis Chaudhuri. “Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks.” ACM Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2024.
    28. Bhupendra Solanki; Ashwin Nair; Mainak Singha; Souryadeep Mukherjee; Ankit Jha; Biplab Banerjee. “GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery.” ACM Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2024.
    29. Mohammad Hassan; Ankit Jha; Moloud Abdar; Biplab Banerjee. “Can Commonsense Knowledge Improve CLIP’s Performance in Cross-Domain VQA?” ACM Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2024.
    30. Sandika Biswas; Qianyi Wu; Biplab Banerjee; Hamid Rezatofeghi. “TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene.” Conference on Neural Information Processing Systems (NeurIPS), 2024.
    31. Munish Monga; Sachin Giroh; Ankit Jha; Mainak Singha; Jocelyn Chanussot. “COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation.” British Machine Vision Conference (BMVC), 2024.
    32. Mainak Singha; Ankit Jha; Divyam Gupta; Pranav Singla; Biplab Banerjee. “Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning.” European Conference on Computer Vision (ECCV), 2024.
    33. Sandika Biswas; Biplab Banerjee; Hamid Rezatofeghi. “Shape-prior Free Space-Time Neural Radiance Field for 4D Semantic Reconstruction of Dynamic Scene from Sparse-View RGB Videos.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
    34. Mainak Singha; Ankit Jha; Shirsha Bose; Ashwin Nair; Moloud Abdar; Biplab Banerjee. “Unknown Prompt, the Only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    35. Sai Bhargava Rangoli; Sarthak Mehrotra; Ankit Jha; Mohammad Hassan; Shirsha Bose; Tanisha Gupta; Mainak Singha; Biplab Banerjee. “CDAD-Net: Bridging Domain Gap in Generalized Category Discovery.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Learning with Limited Labeled Data, 2024.
    36. Mohammad Hassan; Avigyan Bhattacharya; Victor Da Costa; Biplab Banerjee; Elisa Ricci. “Enhancing the Domain Robustness of Self-Supervised Pre-Training with Synthetic Images.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.
    37. Advait Kumar; Shirsha Bose; Mohammad Hassan; Biplab Banerjee. “SPDG-NET: Semantics Preserving Domain Augmentation Through Style Interpolation for Multi-Source Domain Generalization.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.
    38. Shabnam Chowdhury; Pratham Kurkure; Priyanka Talwar; Biplab Banerjee. “CROSSVG: Visual Grounding in Remote Sensing with Modality-Guided Interactions.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024.
    39. Prathmesh Bele; Valay Bundele; Avigyan Bhattacharya; Ankit Jha; Gemma Roig; Biplab Banerjee. “Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    40. Harsh Pal; Khandelwal; Shivam Pande; Biplab Banerjee; Srikrishna Karanam. “Domain Adaptive 3D Shape Retrieval from Monocular Images.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    41. Shirsha Bose; Ankit Jha; Enrico Fini; Mainak Singha; Elisa Ricci; Biplab Banerjee. “STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    42. Avigyan Bhattacharya; Mainak Singha; Ankit Jha; Biplab Banerjee. “C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing.” ACM Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2023.
    43. Mainak Singha; Ankit Jha; Biplab Banerjee. “GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning.” British Machine Vision Conference (BMVC), 2023.
    44. Debabrata Pal; Sai Bhargava; Deeptej More; Dipesh Tamboli; Vaneet Aggarwal; Biplab Banerjee. “Domain Adaptive Few-Shot Open-Set Learning.” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    45. Mainak Singha; Harsh Pal; Ankit Jha; Biplab Banerjee. “AD-CLIP: Adapting Domains in Prompt Space Using CLIP.” IEEE/CVF International Conference on Computer Vision Workshop on Out of Distribution Generalization, 2023.
    46. Izzeuddin Teeti; Sai Bhargava; Vivek Singh; Andrew Bradley; Biplab Banerjee; Fabio Cuzzolin. “Temporal DINO: A Self-Supervised Video Strategy to Enhance Action Prediction.” IEEE/CVF International Conference on Computer Vision Workshop on Road++, 2023.
    47. Vikrant Rangekar; Uddeshya Upadhayay; Zeynep Akata; Biplab Banerjee. “USIM-DAL: Uncertainty-Aware Statistical Image Modeling-Based Dense Active Learning for Super-Resolution.” Conference on Uncertainty in Artificial Intelligence (UAI), 2023.
    48. Ankit Jha; Debabrata Pal; Naman Aggarwal; Biplab Banerjee. “HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues.” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Workshop (ECML-PKDD Workshop), 2023.
    49. Mainak Singha; Ankit Jha; Bhupendra Solanki; Shirsha Bose; Biplab Banerjee. “APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP.” EarthVision, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023.
    50. Ankit Jha; Shirsha Bose; Biplab Banerjee. “GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    51. Aishwarya Agrawal; Srikrishna Karanam; Balaji Srinivasan; Biplab Banerjee. “Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    52. Debabrata Pal; Shirsha Bose; Biplab Banerjee; Yogananda Jeppy. “MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    53. Shivam Pande; Nassim Ait Ali Braham; Yi Wang; Conrad Albrecht; Biplab Banerjee; XiaoXiang Zhu. “Semi-Supervised Learning for Hyperspectral Images by Non-Parametrically Predicting View Assignments.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.
    54. Jayesh Songara; Shivam Pande; Shabnam Chowdhury; Biplab Banerjee; Rajbabu V. “Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.
    55. Harshula Talpurkar; Biplab Banerjee; Krishna Mohan Buddhiraju. “Transformer-Based Hyperspectral Dimensionality Reduction with Gabor Kernel CNN for Feature Extraction.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.
    56. Aishwarya Agrawal; Biplab Banerjee; Fabio Cuzzolin; Subhasis Chaudhuri. “Semantics-Driven Generative Replay for Few-Shot Class-Incremental Learning.” ACM Multimedia, 2022.
    57. Sumrit Gupta; Ushasi Chaudhuri; Biplab Banerjee. “Zero-Shot Sketch-Based Image Retrieval Using Graph Transformer.” IEEE International Conference on Pattern Recognition (ICPR), 2022.
    58. Sayan Rakshit; S. Balasubramanian; Hmrishav Banerjee; Piyush Bharamve; Sai Nandan; Biplab Banerjee; Subhasis Chaudhuri. “Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops on Learning with Limited Labels, 2022.
    59. Satyam Mohla; Anshul Nasery; Biplab Banerjee. “Teaching CNNs to Mimic Human Visual Cognitive Process & Regularize Texture-Shape Bias.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.
    60. Debabrata Pal; Valay Bundale; Biplab Banerjee; Yogananda Jeppy. “Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022.
    61. Shivam Pande; Biplab Banerjee. “Feedback Convolution-Based Auto-Encoder for Dimensionality Reduction in Hyperspectral Images.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.
    62. Advait Kumar; Dipesh Tamboli; Shivam Pande; Biplab Banerjee. “RSINET: Inpainting Remotely Sensed Images Using Triplet GAN Framework.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.
    63. Divakar Bhat; Biplab Banerjee; Subhasis Chaudhuri. “A Semantics-Guided Incremental Few-Shot Learning Framework with Generative Replay.” British Machine Vision Conference (BMVC), 2021.
    64. Ankit Jha; Biplab Banerjee; Subhasis Chaudhuri. “S3DMT-Net: Improving Soft Sharing-Based Multi-Task CNN Using Task-Specific Distillation and Cross-Task Interactions.” ACM Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2021.
    65. Rupak Bose; Vikrant Rangnekar; Biplab Banerjee; Subhasis Chaudhuri. “Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self-Tessellation.” German Conference on Pattern Recognition (GCPR), 2021.
    66. Rupak Bose; Shivam Pande; Biplab Banerjee. “Two-Headed Dragons: Multi-Modal Fusion and Cross-Modal Transactions.” IEEE International Conference on Image Processing (ICIP), 2021.
    67. Ruchika Chavan; Ankit Jha; Biplab Banerjee; Subhasis Chaudhuri. “ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021.
    68. Sudipan Saha; Biplab Banerjee; XiaoXiang Zhu. “Trusting Small Training Dataset for Supervised Change Detection.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.
    69. Shivam Pande; Biplab Banerjee. “Bidirectional GRU-Based Auto-Encoder for Dimensionality Reduction in Hyperspectral Images.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.
    70. Shivam Pande; Biplab Banerjee. “Attention-Based Convolutional Auto-Encoder for Dimensionality Reduction in Hyperspectral Images.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.
    71. Ankit Jha; Awanish Kumar; Biplab Banerjee; Vinay Namboodiri. “SD-MTCNN: Self-Distilled Multi-Task CNN.” British Machine Vision Conference (BMVC), 2020.
    72. Omkar Gune; Biplab Banerjee; Subhasis Chaudhuri; Fabio Cuzzolin. “Generalized Zero-Shot Learning Using Generated Proxy Unseen Samples and Entropy Separation.” ACM Multimedia, 2020.
    73. Sayan Rakshit; Dipesh Tambboli; Pragati Meshram; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri. “Multi-Source Open-Set Deep Adversarial Domain Adaptation.” European Conference on Computer Vision (ECCV), 2020.
    74. Satyam Mohla; Sidharth Mohla; Anupam Guha; Biplab Banerjee. “Multimodal Noisy Segmentation-Based Fragmented Burn Scars Identification in Amazon Rainforest.” IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020.
    75. Yashswi Jain; Ashvini Sharma; Rajbabu Velmurugan; Biplab Banerjee. “PoseCVAE: Anomalous Human Activity Detection.” IEEE International Conference on Pattern Recognition (ICPR), 2020.
    76. Ruchika Chavan; Biplab Banerjee; XiaoXiang Zhu; Subhasis Chaudhuri. “A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning.” IEEE International Conference on Pattern Recognition (ICPR), 2020.
    77. Ravi Kushwaha; Saurabh Kumar; Biplab Banerjee; Rajbabu Velmurugan. “Distilling Spikes: Knowledge Distillation in Spiking Neural Networks.” IEEE International Conference on Pattern Recognition (ICPR), 2020.
    78. Ankit Jha; Awanish Kumar; Biplab Banerjee; Subhasis Chaudhuri. “MT-UNET: A Novel U-Net-Based Multi-Task Architecture for Visual Scene Understanding.” IEEE International Conference on Image Processing (ICIP), 2020.
    79. Sravanti Addepalli; Dipesh Tamboli; Venkatesh Babu; Biplab Banerjee. “Saliency-Driven Class Impressions for Feature Visualization of Deep Neural Networks.” IEEE International Conference on Image Processing (ICIP), 2020.
    80. Ushasi Chaudhuri; Biplab Banerjee; Avik Bhattacharya; Mihai Datcu. “A Simplified Framework for Zero-Shot Cross-Modal Sketch Data Retrieval.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Diagram Image Retrieval and Analysis, 2020.
    81. Satyam Mohla; Shivam Pande; Biplab Banerjee; Subhasis Chaudhuri. “FusAtNet: Dual Attention-Based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Perception Beyond Visible Spectrum, 2020.
    82. Ankit Jha; Awanish Kumar; Biplab Banerjee; Subhasis Chaudhuri. “AdaMT-Net: An Adaptive Weight Learning-Based Multi-Task Learning Model for Scene Understanding.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Efficient Deep Learning in Computer Vision, 2020.
    83. Satyam Mohla; Angshul Nasiri; Biplab Banerjee; Subhasis Chaudhuri. “CognitiveCNN: Mimicking Human Cognitive Models to Resolve Texture-Shape Bias.” International Conference on Learning Representations Workshop, 2020.
    84. Uddeshya Upadhayay; Biplab Banerjee. “Compact Representation Learning Using Class-Specific Convolution Coders: Application to Medical Image Classification.” IEEE International Symposium on Biomedical Imaging (ISBI), 2020.
    85. Megh Shukla; Biplab Banerjee; B. Krishna Mohan. “LEt-SNE: A Hybrid Approach to Data Embedding and Visualization of Hyperspectral Imagery.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
    86. Shivam Pande; Biplab Banerjee. “Dimensionality Reduction Using 3D Residual Auto-Encoder for Hyperspectral Image Classification.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020.
    87. Aniruddha Mahapatra; Biplab Banerjee. “Unsupervised Domain Adaptation for Remote Sensing Images Using Metric Learning and Correlation Alignment.” National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2019.
    88. Shivam Pande; Avinandan Banerjee; Saurabh Kumar; Biplab Banerjee; Subhasis Chaudhuri. “An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification.” IEEE/CVF International Conference on Computer Vision Workshop on Cross-Modal Learning, 2019.
    89. Sayan Rakshit; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri. “Unsupervised Multi-Source Domain Adaptation Driven by Deep Adversarial Ensemble Learning.” German Conference on Pattern Recognition (GCPR), 2019.
    90. Sudipan Saha; Swathikiran Sudhakaran; Biplab Banerjee; Sumedh Pendurkar. “Semantics-Guided Deep Unsupervised Image Segmentation.” International Conference on Image Analysis and Processing (ICIAP), 2019.
    91. Sumedh Pendurkar; Sudipan Saha; Biplab Banerjee; Francesca Bovolo. “Single Image Super-Resolution for Optical Satellite Scenes Using Deconvolution Network.” International Conference on Image Analysis and Processing (ICIAP), 2019.
    92. Omkar Gune; Amit More; Biplab Banerjee; Subhasis Chaudhuri. “Generalized Zero-shot Learning using Open Set Recognition.” British Machine Vision Conference (BMVC), 2019.
    93. Shivam Pande; Biplab Banerjee; Aleksandra Pizurica. “Class Reconstruction Driven Adversarial Domain Adaptation for Hyperspectral Image Classification.” Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019.
    94. Sayan Rakshit; Ushasi Chaudhuri; Biplab Banerjee; Subhasis Chaudhuri. “Class Consistency Driven Deep Adversarial Domain Adaptation.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Continual and Few-shot Learning in Vision, 2019.
    95. Omkar Gune; Meet Vora; Biplab Banerjee; Subhasis Chaudhuri. “Zero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets.” ACM Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2018.
    96. Omkar Gune; Biplab Banerjee; Subhasis Chaudhuri. “Structure Aligning Discriminative Latent Embedding for Zero-Shot Learnings.” British Machine Vision Conference (BMVC), 2018.
    97. Saurabh Kumar; Subhasis Chaudhuri; Biplab Banerjee; M. Feroze. “Onboard Hyperspectral Image Compression using Compressed Sensing and Deep Learning.” European Conference on Computer Vision Workshop (ECCV Workshop), 2018.
    98. Abhinaba Roy; Biplab Banerjee; Vittorio Murino. “Discriminative Latent Visual Space for Zero-Shot Object Classification.” IEEE International Conference on Pattern Recognition (ICPR), 2018.
    99. Sanatan Sharma; Akashdeep Goel; Omkar Gune; Biplab Banerjee; Subhasis Chaudhuri. “Class Specific Coders for Hyperspectral Image Classification.” IEEE International Conference on Image Processing (ICIP), 2018.
    100. Biplab Banerjee; Vittorio Murino. “Efficient Pooling of Image-Based CNN Features for Action Recognition in Videos.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.
    101. Abhinaba Roy; Biplab Banerjee; Vittorio Murino. “Discriminative Dictionary Design for Action Classification in Still Images.” International Conference on Image Analysis and Processing (ICIAP), 2017.
    102. Abhinaba Roy; Biplab Banerjee; Vittorio Murino. “A Novel Dictionary Learning-Based Multiple Instance Learning Approach to Action Recognition from Videos.” International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2017.
    103. Sudipan Saha; Biplab Banerjee; Sabbir Marchest. “Image Foreground Extraction—A Supervised Framework Based on Region Transfer.” IEEE International Conference on Signal Processing and Integrated Networks (IConSIP), 2016.
    104. Sudipan Saha; Biplab Banerjee; Sabbir Marchest. “Domain Adaptation in the Absence of Source Domain Labeled Samples—A Coclustering-Based Approach.” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016.
    105. Biplab Banerjee; Shaunak De; Surender; Manickam; Avik Bhattacharya. “An Unsupervised Hidden Markov Random Field Based Segmentation of Polarimetric SAR Images.” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016.
    106. Biplab Banerjee; Krishna Mohan Buddhiraju; Subhasis Chaudhuri; Avik Bhattacharya; Jyotirmoy Mohanty. “A Novel Graph Matching-Based Approach for Land-Cover Classification of Multi-Temporal Images.” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2014.
    107. Biplab Banerjee; Pradip Mishra; Surender Varma; Krishna Mohan Buddhiraju. “A Novel Graph-Based Clustering Technique for Hybrid Segmentation of Multi-Spectral Remotely Sensed Images.” Advanced Concepts for Intelligent Vision Systems (ACIVS), 2013.
    108. Biplab Banerjee; Siddharth Buddhiraju; Krishna Mohan Buddhiraju. “Road Extraction from High-Resolution Satellite Remote Sensing Images.” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2012.

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