Representative publications

Journals
Conferences

More details to be found at Google Scholar


Peer-reviewed journals

    1. Jha, Ankit, Singha, Mainak, Bhattacharya, Avigyan, Banerjee, Biplab: "RS3Lip: Consistency for Remote Sensing Image Classification on Part Embeddings using Self-supervised Learning and CLIP," Computer Vision and Image Understanding (CVIU), Elsevier, 2024.
    2. Nair, Ashwin, Li, Xingjian, Solanki, Bhupendra, Mukhopadhyay, Souradeep, Jha, Ankit, Uddin, Mostofa Rafid, Singha, Mainak, Banerjee, Biplab, Xu, Min: "Towards molecular structure discovery from Cryo-ET density volumes via modeling auxiliary semantic prototypes," Briefings in Bioinformatics, 2024.
    3. Munia, Afsana Ahmed, Abdar, Moloud, Hasan, Mehedi, Jalali, Mohammad S., Banerjee, Biplab, Khosravi, Abbas, Hossain, Ibrahim, Fu, Huazhu, Frangi, Alejandro F: "Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation," Information Fusion, 2024.
    4. Ghosh, Swarnendu Sekhar, Mandal, Dipankar, Kumar, Sandeep, Bhogapurapu, Narayanarao, Banerjee, Biplab, Siqueira, Paul, Bhattacharya, Avik: "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.
    5. Choudhury, Shabnam, Saini, Devansh, Banerjee, Biplab: "Boosting cross-modal retrieval in remote sensing via a novel unified attention network," Neural Networks, Elsevier, 2024.
    6. Bundele, Valay, Bhupati, Mahesh, Banerjee, Biplab, Grover, Aditya: "Scaling vision-and-language navigation with offline RL," Transactions on Machine Learning Research (TMLR), 2024.
    7. Bhujade, Vaishali, Sambhe, Vijay, Banerjee, Biplab: "Digital image noise removal towards soybean and cotton plant disease using image processing filters," Expert Systems with Applications, Elsevier, 2024.
    8. Bose, Shirsha, Sur-Chowdhury, Ritesh, Pal, Debabrata, Bose, Shivasish, Banerjee, Biplab, Chaudhuri, Subhasis: "MultiScale probability map guided index pooling with attention-based learning for road and building segmentation," ISPRS Journal of Photogrammetry and Remote Sensing, 2023.
    9. Bose, Shirsha, Jha, Ankit, Kandala, Hitesh, Banerjee, Biplab: "Beyond boundaries: A novel data-augmentation discourse for open domain generalization," Transactions on Machine Learning Research (TMLR), 2023.
    10. Jha, Ankit, Banerjee, Biplab: "MDFS-Net: Multi-domain few-shot classification for hyperspectral images with support set reconstruction," IEEE Transactions on Geoscience & Remote Sensing (TGRS), 2023.
    11. Pal, Debabrata, Bose, Shirsha, More, Deeptej, Jha, Ankit, Banerjee, Biplab, Jeppu, Yogananda: "MAML-SR: Self-Adaptive Super-Resolution Networks via Multi-scale Optimized Attention-aware Meta-Learning," Pattern Recognition Letters (PRL), 2023.
    12. Biswas, Sandika, Li, Kejie, Banerjee, Biplab, Rezatofeghi, Hamid, Chaudhuri, Subhasis: "Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach," IEEE Robotics and Automation Letters (RA-L), 2023.
    13. Pal, Debabrata, Bose, Shirsha, Banerjee, Biplab, Jeppu, Yoga: "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images," IEEE Transactions on Geoscience & Remote Sensing (TGRS), 2023.
    14. Pande, Shivam, Banerjee, Biplab: "Self-supervision-assisted multimodal remote sensing image classification with coupled self-looping convolution networks," Neural Networks, Elsevier, 2023.
    15. Tulapurkar, Harshula, Banerjee, Biplab, Buddhiraju, Krishna Mohan: "Multi-head attention with CNN and wavelet for classification of hyperspectral images," Neural Computing and Applications, Springer, 2022.
    16. Mohanty, Anwesh, Banerjee, Biplab, V, Rajbabu: "SSMTReID-Net: Multi-Target Unsupervised Domain Adaptation for Person Re-Identification," Pattern Recognition Letters (PRL), Elsevier, 2022.
    17. Chaudhuri, Ushasi, Chavhan, Ruchika, Banerjee, Biplab, Dutta, Anjan, Akata, Zeynep: "BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR," Neurocomputing, Elsevier, 2022.
    18. Chaudhuri, Ushasi, Bose, Rupak, Banerjee, Biplab, Bhattacharya, Avik, Datcu, Mihai: "Zero-Shot Cross-Modal Retrieval for Remote Sensing Images with Minimal Supervision," IEEE Transactions on Geoscience & Remote Sensing (TGRS), IEEE, 2022.
    19. Kandala, Hitesh, Saha, Sudipan, Banerjee, Biplab, Zhu, Xiao: "Exploring Transformer and multi-label classification for remote sensing image captioning," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2022.
    20. Rakshit, Sayan, Mohanty, Anwesh, Chavhan, Ruchika, Banerjee, Biplab, Roig, Gemma, Chaudhuri, Subhasis: "FRIDA: Generative Feature Replay for Incremental Domain Adaptation," Computer Vision & Image Understanding (CVIU), Elsevier, 2022.
    21. Pande, Shivam, Banerjee, Biplab: "HyperLoopNet: Hyperspectral Image Classification using Multiscale Self-Looping Convolutional Networks," ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021.
    22. Bose, Rupak, Ashutosh, Banerjee, Biplab, Chaudhuri, Subhasis: "DARK: Few-shot remote sensing colorization using label conditioned color injection," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    23. Chaudhuri, Ushasi, Dey, Subhadip, Banerjee, Biplab, Datcu, Mihai, Bhattacharya, Avik: "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.
    24. Dey, Mani Shankar, Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik: "Dual-Path Morph-UNet for Road and Building Segmentation from Satellite Images," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    25. Roy, Abhinaba, Banerjee, Biplab, Hossain, Amir, Poria, Soujanya: "Discriminative Dictionary Design for Action Classification in Still Images and Videos," Cognitive Computation, Springer, 2021.
    26. Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik, Datcu, Mihai: "Attention Driven Graph Convolution Network for Remote Sensing Image Retrieval," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    27. Bhardwaj, Ayush, Pimpale, Sakshee, Kumar, Saurabh, Banerjee, Biplab: "Empowering Knowledge Distillation via Open Set Recognition for 3D Point Cloud Classification," Pattern Recognition Letters (PRL), Elsevier, 2021.
    28. Dey, Subhadip, Chaudhuri, Ushasi, Bhogapurapu, Narayan, Sanchez-Lopez, Juan, Banerjee, Biplab, Bhattacharya, Avik, Mandal, Dipankar, Rao, Y.S.: "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.
    29. Pal, Debabrata, Bundele, Valay, Banerjee, Biplab, Jeppu, Yoga: "SPN: Stable Prototypical Network for Few-Shot Learning-Based Hyperspectral Image Classification," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    30. Bhat, Divakar, Banerjee, Biplab, Chaudhuri, Subhasis, Bhattacharya, Avik: "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.
    31. Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik, Datcu, Mihai: "A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2021.
    32. Kumar, Saurabh, Banerjee, Biplab, Chaudhuri, Subhasis: "Improved Landcover Classification using Online Spectral Data Hallucination," Neurocomputing, Elsevier, 2021.
    33. Pande, Shivam, Banerjee, Biplab: "Adaptive hybrid attention network for hyperspectral image classification," Pattern Recognition Letters (PRL), Elsevier, 2021.
    34. Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik, Datcu, Mihai: "CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval," Image Vision Computing, Elsevier, 2020.
    35. Dey, Subhadip, Chaudhuri, Ushasi, Mandal, Dipankar, Bhattacharya, Avik, Banerjee, Biplab, McNairn, Heather: "BiophyNet: A Regression Network for Joint Estimation of Crop Biophysical Parameters from SAR Data," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2020.
    36. Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik, Datcu, Mihai: "CMIR-NET: A Deep Learning Based Model for Cross-Modal Retrieval in Remote Sensing," Pattern Recognition Letters, Elsevier, 2020.
    37. Dey, Subhadip, Mandal, Dipankar, Robertson, Laura Dingle, Banerjee, Biplab, Kumar, Vineet, McNairn, Heather, Bhattacharya, Avik, Rao, Y. S.: "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.
    38. Khan, Nagma, Chaudhuri, Subhasis, Banerjee, Biplab: "Graph Convolutional Network for Multi-label VHR Remote Sensing Scene Recognition," Neurocomputing, Elsevier, 2019.
    39. Goel, Akashdeep, Banerjee, Biplab, Pizurica, Aleksandra: "Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2019.
    40. Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik: "Siamese Graph Convolutional Network for Content-Based Remote Sensing Image Retrieval," Computer Vision and Image Understanding (CVIU), Elsevier, 2019.
    41. Gupta, Swati, Banerjee, Biplab: "Unsupervised Event Detection using Self-Learning Based Max-Margin Clustering: Analysis on Streaming Tweets," IETE Journal of Research, 2018.
    42. Banerjee, Biplab, Chaudhuri, Subhasis: "Scene Recognition from Optical Remote Sensing Images Using Mid-Level Deep Feature Mining," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2018.
    43. Roy, Abhinaba, Banerjee, Biplab, Murino, Vittorio: "Discriminative Body Part Interaction Mining for Mid-Level Action Representation and Classification," Journal of Visual Communication and Image Representation, Elsevier, 2018.
    44. Banerjee, Biplab, Chaudhuri, Subhasis: "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.
    45. Banerjee, Biplab, Buddhiraju, Krishna Mohan: "Domain Adaptation in the Absence of Source Domain Labeled Samples - A Coclustering-Based Approach," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2016.
    46. Banerjee, Biplab, Bovolo, Francesca, Bhattacharya, Avik, Bruzzone, Lorenzo, Chaudhuri, Subhasis, Mohan, B Krishna: "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.
    47. Banerjee, Biplab, Bovolo, Francesca, Bhattacharya, Avik, Bruzzone, Lorenzo, Chaudhuri, Subhasis, Mohan, B Krishna: "A New Self-Training-Based Unsupervised Satellite Image Classification Technique Using Cluster Ensemble Strategy," IEEE Geoscience & Remote Sensing Letters (GRSL), IEEE, 2015.
    48. Banerjee, Biplab, Varma, Surender, Buddhiraju, Krishna Mohan, Eeti, Laxmi Narayana: "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.
    49. Banerjee, Biplab, Mohan, B Krishna: "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.
    50. Banerjee, Biplab, Bhattacharya, Avik, Buddhiraju, Krishna Mohan: "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.
    51. Banerjee, Biplab, Buddhiraju, Krishna Mohan, Gadhiraju, Surender Varma, Eeti, Laxmi Narayana: "Building Extraction from High Resolution Multi-Spectral Satellite Images," Urban and Regional Data Management: UDMS Annual, 2013.

Conference proceedings

    1. Vasim, Akhil, Kashyap, Pankhi, Chowdhury, Shabnam, Banerjee, Biplab: "Spatially-Aware Cross-Modal Contrastive Learning for Low-Shot HSI Classification," IEEE ICASSP, 2025.
    2. Mukherjee, Samrat, Sur, Tanuj, Seksaria, Saurish, Chaudhuri, Subhasis, Roig, Gemma, Banerjee, Biplab: "UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning," IEEE ICASSP, 2025.
    3. Bhargava, Sai, Hassan, Mohammad, Jha, Ankit, Bhargava, Neha, Prasad, Saurabh, Banerjee, Biplab: "Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering," WACV, 2025.
    4. Palit, Sanchar, Banerjee, Biplab, Chaudhuri, Subhasis: "Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks," ACM ICVGIP, 2024.
    5. Solanki, Bhupendra, Nair, Ashwin, Singha, Mainak, Mukherjee, Souryadeep, Jha, Ankit, Banerjee, Biplab: "GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery," ACM ICVGIP, 2024.
    6. Hassan, Mohammad, Jha, Ankit, Abdar, Moloud, Banerjee, Biplab: "Can Commonsense Knowledge Improve CLIP’s Performance in Cross-Domain VQA?," ACM ICVGIP, 2024.
    7. Biswas, Sandika, Wu, Qianyi, Banerjee, Biplab, Rezatofeghi, Hamid: "TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene," NeurIPS, 2024.
    8. Monga, Munish, Giroh, Sachin, Jha, Ankit, Singha, Mainak, Chanussot, Jocelyn: "COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation," BMVC, 2024.
    9. Singha, Mainak, Jha, Ankit, Gupta, Divyam, Singla, Pranav, Banerjee, Biplab: "Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning," ECCV, 2024.
    10. Biswas, Sandika, Banerjee, Biplab, Rezatofeghi, Hamid: "Shape-prior Free Space-Time Neural Radiance Field for 4D Semantic Reconstruction of Dynamic Scene from Sparse-View RGB Videos," IEEE IROS, 2024.
    11. Singha, Mainak, Jha, Ankit, Bose, Shirsha, Nair, Ashwin, Abdar, Moloud, Banerjee, Biplab: "Unknown Prompt, the Only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization," CVPR, 2024.
    12. Rangoli, Sai Bhargava, Mehrotra, Sarthak, Jha, Ankit, Hassan, Mohammad, Bose, Shirsha, Gupta, Tanisha, Singha, Mainak, Banerjee, Biplab: "CDAD-Net: Bridging Domain Gap in Generalized Category Discovery," CVPR Workshop on Learning with Limited Labeled Data, 2024.
    13. Hassan, Mohammad, Bhattacharya, Avigyan, Da Costa, Victor, Banerjee, Biplab, Ricci, Elisa: "Enhancing the Domain Robustness of Self-Supervised Pre-Training with Synthetic Images," IEEE ICASSP, 2024.
    14. Kumar, Advait, Bose, Shirsha, Hassan, Mohammad, Banerjee, Biplab: "SPDG-NET: Semantics Preserving Domain Augmentation Through Style Interpolation for Multi-Source Domain Generalization," IEEE ICASSP, 2024.
    15. Chowdhury, Shabnam, Kurkure, Pratham, Talwar, Priyanka, Banerjee, Biplab: "CROSSVG: Visual Grounding in Remote Sensing with Modality-Guided Interactions," IEEE IGARSS, 2024.
    16. Bele, Prathmesh, Bundele, Valay, Bhattacharya, Avigyan, Jha, Ankit, Roig, Gemma, Banerjee, Biplab: "Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization," WACV, 2024.
    17. Pal, Harsh, Khandelwal, Pande, Shivam, Banerjee, Biplab, Karanam, Srikrishna: "Domain Adaptive 3D Shape Retrieval from Monocular Images," WACV, 2024.
    18. Bose, Shirsha, Jha, Ankit, Fini, Enrico, Singha, Mainak, Ricci, Elisa, Banerjee, Biplab: "STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization," WACV, 2024.
    19. Bhattacharya, Avigyan, Singha, Mainak, Jha, Ankit, Banerjee, Biplab: "C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing," ACM ICVGIP, 2023.
    20. Singha, Mainak, Jha, Ankit, Banerjee, Biplab: "GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning," BMVC, 2023.
    21. Pal, Debabrata, Bhargava, Sai, More, Deeptej, Tamboli, Dipesh, Aggarwal, Vaneet, Banerjee, Biplab: "Domain Adaptive Few-Shot Open-Set Learning," ICCV, 2023.
    22. Singha, Mainak, Pal, Harsh, Jha, Ankit, Banerjee, Biplab: "AD-CLIP: Adapting Domains in Prompt Space Using CLIP," ICCV Workshop (Out of Distribution Generalization), 2023.
    23. Teeti, Izzeuddin, Bhargava, Sai, Singh, Vivek, Bradley, Andrew, Banerjee, Biplab, Cuzzolin, Fabio: "Temporal DINO: A Self-Supervised Video Strategy to Enhance Action Prediction," ICCV Workshop (Road++), 2023.
    24. Rangekar, Vikrant, Upadhayay, Uddeshya, Akata, Zeynep, Banerjee, Biplab: "USIM-DAL: Uncertainty-Aware Statistical Image Modeling-Based Dense Active Learning for Super-Resolution," Uncertainty in AI (UAI), 2023.
    25. Jha, Ankit, Pal, Debabrata, Aggarwal, Naman, Banerjee, Biplab: "HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues," ECML-PKDD Workshop, 2023.
    26. Singha, Mainak, Jha, Ankit, Solanki, Bhupendra, Bose, Shirsha, Banerjee, Biplab: "APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP," EarthVision, IEEE CVPR Workshops, 2023.
    27. Jha, Ankit, Bose, Shirsha, Banerjee, Biplab: "GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning," IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
    28. Agrawal, Aishwarya, Karanam, Srikrishna, Srinivasan, Balaji, Banerjee, Biplab: "Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval," IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
    29. Pal, Debabrata, Bose, Shirsha, Banerjee, Biplab, Jeppy, Yogananda: "MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network," IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
    30. Pande, Shivam, Ali Braham, Nassim Ait, Wang, Yi, Albrecht, Conrad, Banerjee, Biplab, Zhu, XiaoXiang: "Semi-Supervised Learning for Hyperspectral Images by Non-Parametrically Predicting View Assignments," IEEE IGARSS, 2023.
    31. Songara, Jayesh, Pande, Shivam, Chowdhury, Shabnam, Banerjee, Biplab, V, Rajbabu: "Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck," IEEE IGARSS, 2023.
    32. Talpurkar, Harshula, Banerjee, Biplab, Buddhiraju, Krishna Mohan: "Transformer-Based Hyperspectral Dimensionality Reduction with Gabor Kernel CNN for Feature Extraction," IEEE IGARSS, 2023.
    33. Agrawal, Aishwarya, Banerjee, Biplab, Cuzzolin, Fabio, Chaudhuri, Subhasis: "Semantics-Driven Generative Replay for Few-Shot Class-Incremental Learning," ACM Multimedia, 2022.
    34. Gupta, Sumrit, Chaudhuri, Ushasi, Banerjee, Biplab: "Zero-Shot Sketch-Based Image Retrieval Using Graph Transformer," IEEE International Conference on Pattern Recognition (ICPR), 2022.
    35. Rakshit, Sayan, Balasubramanian, S, Banerjee, Hmrishav, Bharamve, Piyush, Nandan, Sai, Banerjee, Biplab, Chaudhuri, Subhasis: "Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples," IEEE CVPR Workshops (Learning with Limited Labels), 2022.
    36. Mohla, Satyam, Nasery, Anshul, Banerjee, Biplab: "Teaching CNNs to Mimic Human Visual Cognitive Process & Regularize Texture-Shape Bias," IEEE ICASSP, 2022.
    37. Pal, Debabrata, Bundale, Valay, Banerjee, Biplab, Jeppy, Yogananda: "Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network," IEEE Winter Conference on Applications of Computer Vision (WACV), 2022.
    38. Pande, Shivam, Banerjee, Biplab: "Feedback Convolution-Based Auto-Encoder for Dimensionality Reduction in Hyperspectral Images," IEEE IGARSS, 2022.
    39. Kumar, Advait, Tamboli, Dipesh, Pande, Shivam, Banerjee, Biplab: "RSINET: Inpainting Remotely Sensed Images Using Triplet GAN Framework," IEEE IGARSS, 2022.
    40. Bhat, Divakar, Banerjee, Biplab, Chaudhuri, Subhasis: "A Semantics-Guided Incremental Few-Shot Learning Framework with Generative Replay," British Machine Vision Conference (BMVC), 2021.
    41. Jha, Ankit, Banerjee, Biplab, Chaudhuri, Subhasis: "𝑆3DMT-Net: Improving Soft Sharing-Based Multi-Task CNN Using Task-Specific Distillation and Cross-Task Interactions," ACM ICVGIP, 2021.
    42. Bose, Rupak, Rangnekar, Vikrant, Banerjee, Biplab, Chaudhuri, Subhasis: "Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self-Tessellation," German Conference on Pattern Recognition (GCPR), 2021.
    43. Bose, Rupak, Pande, Shivam, Banerjee, Biplab: "Two-Headed Dragons: Multi-Modal Fusion and Cross-Modal Transactions," IEEE International Conference on Image Processing (ICIP), 2021.
    44. Chavan, Ruchika, Jha, Ankit, Banerjee, Biplab, Chaudhuri, Subhasis: "ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer," IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
    45. Saha, Sudipan, Banerjee, Biplab, Zhu, XiaoXiang: "Trusting Small Training Dataset for Supervised Change Detection," IEEE IGARSS, 2021.
    46. Pande, Shivam, Banerjee, Biplab: "Bidirectional GRU-Based Auto-Encoder for Dimensionality Reduction in Hyperspectral Images," IEEE IGARSS, 2021.
    47. Pande, Shivam, Banerjee, Biplab: "Attention-Based Convolutional Auto-Encoder for Dimensionality Reduction in Hyperspectral Images," IEEE IGARSS, 2021.
    48. Jha, Ankit, Kumar, Awanish, Banerjee, Biplab, Namboodiri, Vinay: "SD-MTCNN: Self-Distilled Multi-Task CNN," British Machine Vision Conference (BMVC), 2020.
    49. Gune, Omkar, Banerjee, Biplab, Chaudhuri, Subhasis, Cuzzolin, Fabio: "Generalized Zero-Shot Learning Using Generated Proxy Unseen Samples and Entropy Separation," ACM Conference on Multimedia (ACM-MM), 2020.
    50. Rakshit, Sayan, Tambboli, Dipesh, Meshram, Pragati, Banerjee, Biplab, Roig, Gemma, Chaudhuri, Subhasis: "Multi-Source Open-Set Deep Adversarial Domain Adaptation," European Conference on Computer Vision (ECCV), 2020.
    51. Mohla, Satyam, Mohla, Sidharth, Guha, Anupam, Banerjee, Biplab: "Multimodal Noisy Segmentation-Based Fragmented Burn Scars Identification in Amazon Rainforest," IEEE Conference on Systems, Man, and Cybernatics (SMC), 2020.
    52. Jain, Yashswi, Sharma, Ashvini, Velmurugan, Rajbabu, Banerjee, Biplab: "PoseCVAE: Anomalous Human Activity Detection," IEEE International Conference on Pattern Recognition (ICPR), 2020.
    53. Chavan, Ruchika, Banerjee, Biplab, Zhu, XiaoXiang, Chaudhuri, Subhasis: "A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning," IEEE International Conference on Pattern Recognition (ICPR), 2020.
    54. Kushwaha, Ravi, Kumar, Saurabh, Banerjee, Biplab, Velmurugan, Rajbabu: "Distilling Spikes: Knowledge Distillation in Spiking Neural Networks," IEEE International Conference on Pattern Recognition (ICPR), 2020.
    55. Jha, Ankit, Kumar, Awanish, Banerjee, Biplab, Chaudhuri, Subhasis: "MT-UNET: A Novel U-Net-Based Multi-Task Architecture for Visual Scene Understanding," IEEE International Conference on Image Processing (ICIP), 2020.
    56. Addepalli, Sravanti, Tamboli, Dipesh, Babu, Venkatesh, Banerjee, Biplab: "Saliency-Driven Class Impressions for Feature Visualization of Deep Neural Networks," IEEE International Conference on Image Processing (ICIP), 2020.
    57. Chaudhuri, Ushasi, Banerjee, Biplab, Bhattacharya, Avik, Datcu, Mihai: "A Simplified Framework for Zero-Shot Cross-Modal Sketch Data Retrieval," IEEE CVPR Workshop (Diagram Image Retrieval and Analysis), 2020.
    58. Mohla, Satyam, Pande, Shivam, Banerjee, Biplab, Chaudhuri, Subhasis: "FusAtNet: Dual Attention-Based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification," IEEE CVPR Workshop (Perception Beyond Visible Spectrum), 2020.
    59. Jha, Ankit, Kumar, Awanish, Banerjee, Biplab, Chaudhuri, Subhasis: "AdaMT-Net: An Adaptive Weight Learning-Based Multi-Task Learning Model for Scene Understanding," IEEE CVPR Workshop (Efficient Deep Learning in Computer Vision), 2020.
    60. Mohla, Satyam, Nasiri, Angshul, Banerjee, Biplab, Chaudhuri, Subhasis: "CognitiveCNN: Mimicking Human Cognitive Models to Resolve Texture-Shape Bias," ICLR Workshop (ICLRw), 2020.
    61. Upadhayay, Uddeshya, Banerjee, Biplab: "Compact Representation Learning Using Class-Specific Convolution Coders: Application to Medical Image Classification," IEEE International Symposium on Biomedical Imaging (ISBI), 2020.
    62. Shukla, Megh, Banerjee, Biplab, Krishna Mohan, B: "LEt-SNE: A Hybrid Approach to Data Embedding and Visualization of Hyperspectral Imagery," IEEE ICASSP, 2020.
    63. Pande, Shivam, Banerjee, Biplab: "Dimensionality Reduction Using 3D Residual Auto-Encoder for Hyperspectral Image Classification," IEEE IGARSS, 2020.
    64. Mahapatra, Aniruddha, Banerjee, Biplab: "Unsupervised Domain Adaptation for Remote Sensing Images Using Metric Learning and Correlation Alignment," NCVPRIPG, 2019.
    65. Pande, Shivam, Banerjee, Avinandan, Kumar, Saurabh, Banerjee, Biplab, Chaudhuri, Subhasis: "An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification," ICCV Workshop (CroMol), 2019.
    66. Rakshit, Sayan, Banerjee, Biplab, Roig, Gemma, Chaudhuri, Subhasis: "Unsupervised Multi-Source Domain Adaptation Driven by Deep Adversarial Ensemble Learning," German Conference of Pattern Recognition (GCPR), 2019.
    67. Saha, Sudipan, Sudhakaran, Swathikiran, Banerjee, Biplab, Pendurkar, Sumedh: "Semantics-Guided Deep Unsupervised Image Segmentation," International Conference on Image Analysis and Processing (ICIAP), 2019.
    68. Pendurkar, Sumedh, Saha, Sudipan, Banerjee, Biplab, Bovolo, Francesca: "Single Image Super-Resolution for Optical Satellite Scenes Using Deconvolution Network," International Conference on Image Analysis and Processing (ICIAP), 2019.
    69. Gune, Omkar, More, Amit, Banerjee, Biplab, Chaudhuri, Subhasis: "Generalized Zero-shot Learning using Open Set Recognition," British Machine Vision Conference (BMVC), 2019.
    70. Pande, Shivam, Banerjee, Biplab, Pizurica, Aleksandra: "Class Reconstruction Driven Adversarial Domain Adaptation for Hyperspectral Image Classification," Iberian Conference on Pattern Recognition and Image Analysis (IbPria, LNCS), 2019.
    71. Rakshit, Sayan, Ushasi, Chaudhuri, Banerjee, Biplab, Chaudhuri, Subhasis: "Class Consistency Driven Deep Adversarial Domain Adaptation," IEEE CVPR Workshop (CEFRL), 2019.
    72. Gune, Omkar, Vora, Meet, Banerjee, Biplab, Chaudhuri, Subhasis: "Zero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets," ACM Indian Conference on Vision Graphics and Image Processing (ICVGIP), 2018.
    73. Gune, Omkar, Banerjee, Biplab, Chaudhuri, Subhasis: "Structure Aligning Discriminative Latent Embedding for Zero-Shot Learnings," British Machine Vision Conference (BMVC), 2018.
    74. Kumar, Saurabh, Chaudhuri, Subhasis, Banerjee, Biplab, Feroze, M.: "Onboard Hyperspectral Image Compression using Compressed Sensing and Deep Learning," European Conference on Computer Vision Workshop (ECCVw), 2018.
    75. Roy, Abhinaba, Banerjee, Biplab, Murino, Vittorio: "Discriminative Latent Visual Space for Zero-Shot Object Classification," IEEE International Conference on Pattern Recognition (ICPR), 2018.
    76. Sharma, Sanatan, Akashdeep, Goel, Gune, Omkar, Banerjee, Biplab, Chaudhuri, Subhasis: "Class Specific Coders for Hyperspectral Image Classification," IEEE International Conference on Image Processing (ICIP), 2018.
    77. Banerjee, Biplab, Murino, Vittorio: "Efficient Pooling of Image-Based CNN Features for Action Recognition in Videos," IEEE ICASSP, 2017.
    78. Roy, Abhinaba, Banerjee, Biplab, Murino, Vittorio: "Discriminative Dictionary Design for Action Classification in Still Images," International Conference on Image Analysis and Processing (ICIAP), 2017.
    79. Roy, Abhinaba, Banerjee, Biplab, Murino, Vittorio: "A Novel Dictionary Learning-Based Multiple Instance Learning Approach to Action Recognition from Videos," ICPRAM, 2017.
    80. Saha, Sudipan, Banerjee, Biplab, Marchest, Sabbir: "Image Foreground Extraction—A Supervised Framework Based on Region Transfer," IEEE IConSIP, 2016.
    81. Saha, Sudipan, Banerjee, Biplab, Marchest, Sabbir: "Domain Adaptation in the Absence of Source Domain Labeled Samples—A Coclustering-Based Approach," Indian Conference on Graphics Vision and Image Processing (ICVGIP), 2016.
    82. Banerjee, Biplab, De, Shaunak, Surender, Manickam, Bhattacharya, Avik: "An Unsupervised Hidden Markov Random Field Based Segmentation of Polarimetric SAR Images," IEEE IGARSS, 2016.
    83. Banerjee, Biplab, Buddhiraju, Krishna Mohan, Chaudhuri, Subhasis, Bhattacharya, Avik, Mohanty, Jyotirmoy: "A Novel Graph Matching-Based Approach for Land-Cover Classification of Multi-Temporal Images," Indian Conference on Graphics Vision and Image Processing (ICVGIP), 2014.
    84. Banerjee, Biplab, Mishra, Pradip, Varma, Surender, Buddhiraju, Krishna Mohan: "A Novel Graph-Based Clustering Technique for Hybrid Segmentation of Multi-Spectral Remotely Sensed Images," ACIVS, 2013.
    85. Banerjee, Biplab, Buddhiraju, Siddharth, Buddhiraju, Krishna Mohan: "Road Extraction from High-Resolution Satellite Remote Sensing Images," Indian Conference on Graphics Vision and Image Processing (ICVGIP), 2012.

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