| 2026 | ACL | CaRVE: Critiquing and Refining Visual Elaborations for Figurative Language Illustrations. | Manishit Kundu, Tejomay Kishor Padole, Sumit Shekhar, Biplab Banerjee, Pushpak Bhattacharyya |
| 2026 | ACL | BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs. | Mainak Singha, Tanisha Gupta, Ankit Jha, Muhammad Haris Khan, Sayantani Ghosh, Biplab Banerjee |
| 2026 | ICPR | QMC-Net: Data-Aware Quantum Representations for Remote Sensing Image Classification. | Md Aminur Hossain, Ayush V. Patel, Biplab Banerjee |
| 2026 | WACV | X-JEPA: A Novel Joint Learning Cross-Modal Predictive Alignment Framework for Remote Sensing Image Retrieval. | Shabnam Choudhury, Yash Salunkhe, Vaibhav Rajan, Subhasis Chaudhuri, Biplab Banerjee |
| 2026 | WACV | Vision-informed Semantic Text Alignment for Open-set Recognition in Remote Sensing. | Siddhant Gole, Akash Pal, Ankit Jha, Subhasis Chaudhuri, Biplab Banerjee |
| 2025 | ACL | "My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise. | Sharath Naganna, Saprativa Bhattacharjee, Biplab Banerjee, Pushpak Bhattacharyya |
| 2025 | CVPR | OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP. | Mohamad Hassan N C, Divyam Gupta, Mainak Singha, Sai Bhargav Rongali, Ankit Jha, Muhammad Haris Khan, Biplab Banerjee |
| 2025 | CVPR | REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval. | Shabnam Choudhury, Yash Salunkhe, Sarthak Mehrotra, Biplab Banerjee |
| 2025 | CVPR | AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images. | Saikat Dutta, Akhil Vasim, Siddhant Gole, Hamid Rezatofighi, Biplab Banerjee |
| 2025 | CVPR | FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing. | Hariseetharam Gunduboina, Muhammad Haris Khan, Biplab Banerjee |
| 2025 | CVPR | When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach. | Vaibhav Rathore, Shubhranil B, Saikat Dutta, Sarthak Mehrotra, Zsolt Kira, Biplab Banerjee |
| 2025 | CVPR | Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation. | Tanuj Sur, Samrat Mukherjee, Kaizer Rahaman, Subhasis Chaudhuri, Muhammad Haris Khan, Biplab Banerjee |
| 2025 | EMNLP | ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media. | Aakash Kumar Agarwal, Saprativa Bhattacharjee, Mauli Rastogi, Jemima Jacob, Biplab Banerjee, Rashmi Gupta, Pushpak Bhattacharyya |
| 2025 | ICASSP | UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning. | Samrat Mukherjee, Tanuj Sur, Saurish Seksaria, Subhasis Chaudhuri, Gemma Roig, Biplab Banerjee |
| 2025 | ICASSP | Spatially-Aware Cross-Modal Contrastive Learning for Low-Shot HSI Classification. | Akhil Vasim, Pankhi Kashyap, Shabnam Choudhury, Biplab Banerjee |
| 2025 | ICCV | DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic. | Munish Monga, Vishal M. Chudasama, Pankaj Wasnik, Biplab Banerjee |
| 2025 | ICCV | FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models. | Mainak Singha, Subhankar Roy, Sarthak Mehrotra, Ankit Jha, Moloud Abdar, Biplab Banerjee, Elisa Ricci |
| 2025 | ICML | Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features. | Yuzhen Hu, Biplab Banerjee, Saurabh Prasad |
| 2025 | WACV | Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering. | Sai Bhargav Rongali, Mohamad Hassan N C, Ankit Jha, Neha Bhargava, Saurabh Prasad, Biplab Banerjee |
| 2024 | BMVC | COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation. | Munish Monga, Sachin Kumar Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot |
| 2024 | CVPR | CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. | Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee |
| 2024 | CVPR | Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. | Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin R. Nair, Moloud Abdar, Biplab Banerjee |
| 2024 | ECCV | Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning. | Mainak Singha, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee |
| 2024 | ICASSP | Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images. | Mohamad Hassan N C, Avigyan Bhattacharya, Victor G. Turrisi da Costa, Biplab Banerjee, Elisa Ricci |
| 2024 | ICASSP | SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization. | Advait Kumar, Shirsha Bose, Mohamad Hassan N C, Biplab Banerjee |
| 2024 | IROS | Shape-prior Free Space-time Neural Radiance Field for 4D Semantic Reconstruction of Dynamic Scene from Sparse-View RGB Videos. | Sandika Biswas, Biplab Banerjee, Hamid Rezatofighi |
| 2024 | IGARSS | CrossVG: Visual Grounding in Remote Sensing with Modality-Guided Interactions. | Shabnam Choudhury, Pratham Kurkure, Priyanka Talwar, Biplab Banerjee |
| 2024 | IGARSS | Enhancing Crop Type Classification from Multi-Frequency Dual-Pol SAR Data by Probabilistic Fusion of Gaussian Processes. | Swarnendu Sekhar Ghosh, Sandeep Kumar, Avik Bhattacharya, Dipankar Mandal, Biplab Banerjee, Narayanarao Bhogapurapu, Paul Siqueira |
| 2024 | WACV | Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. | Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee |
| 2024 | WACV | StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. | Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee |
| 2024 | WACV | Domain Adaptive 3D Shape Retrieval from Monocular Images. | Harsh Pal, Ritwik Khandelwal, Shivam Pande, Biplab Banerjee, Srikrishna Karanam |
| 2023 | BMVC | GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning. | Mainak Singha, Ankit Jha, Biplab Banerjee |
| 2023 | CVPR | APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP. | Mainak Singha, Ankit Jha, Bhupendra Solanki, Shirsha Bose, Biplab Banerjee |
| 2023 | ICCV | Domain Adaptive Few-Shot Open-Set Learning. | Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee |
| 2023 | IGARSS | Spatio-Temporal Change Detection Model For Deforestation Analysis Using Advanced Deep Learning Approaches. | Nilkamal More, Valmik B. Nikam, Biplab Banerjee, T. P. Singh, Abhay Bambole |
| 2023 | IGARSS | Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment | Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu |
| 2023 | IGARSS | Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck. | Jayesh Songara, Shivam Pande, Shabnam Choudhury, Biplab Banerjee, Rajbabu Velmurugan |
| 2023 | IGARSS | Transfomer Based Hyperspectral Dimensionality Reduction with Gabor Kernel CNN for Feature Extraction. | Harshula Tulapurkar, B. Krishna Mohan, Biplab Banerjee |
| 2023 | WACV | Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval. | Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan, Biplab Banerjee |
| 2023 | WACV | GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning. | Ankit Jha, Shirsha Bose, Biplab Banerjee |
| 2023 | WACV | MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network. | Debabrata Pal, Shirsha Bose, Biplab Banerjee, Yogananda V. Jeppu |
| 2023 | UAI | USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. | Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee |
| 2022 | CVPR | Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples. | Sayan Rakshit, S. Balasubramanian, Hmrishav Bandyopadhyay, Piyush Bharambe, Sai Nandan Desetti, Biplab Banerjee, Subhasis Chaudhuri |
| 2022 | ICASSP | Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias. | Satyam Mohla, Anshul Nasery, Biplab Banerjee |
| 2022 | ICPR | Zero-Shot Sketch Based Image Retrieval Using Graph Transformer. | Sumrit Gupta, Ushasi Chaudhuri, Biplab Banerjee, Saurabh Kumar |
| 2022 | IGARSS | Feedback Convolution Based Autoencoder for Dimensionality Reduction in Hyperspectral Images. | Shivam Pande, Biplab Banerjee |
| 2022 | IGARSS | RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework. | Advait Kumar, Dipesh Tamboli, Shivam Pande, Biplab Banerjee |
| 2022 | WACV | Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network. | Debabrata Pal, Valay Bundele, Renuka Sharma, Biplab Banerjee, Yogananda V. Jeppu |
| 2021 | BMVC | SemGIF: A Semantics Guided Incremental Few-shot Learning Framework with Generative Replay. | S. Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri |
| 2021 | ICIP | Two Headed Dragons: Multimodal Fusion And Cross Modal Transactions. | Rupak Bose, Shivam Pande, Biplab Banerjee |
| 2021 | IGARSS | Attention Based Convolution Autoencoder for Dimensionality Reduction in Hyperspectral Images. | Shivam Pande, Biplab Banerjee |
| 2021 | IGARSS | Bidirectional GRU Based Autoencoder for Dimensionality Reduction in Hyperspectral Images. | Shivam Pande, Biplab Banerjee |
| 2021 | IGARSS | Trusting Small Training Dataset for Supervised Change Detection. | Sudipan Saha, Biplab Banerjee, Xiao Xiang Zhu |
| 2021 | IGARSS | Attention-Driven Cross-Modal Remote Sensing Image Retrieval. | Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu |
| 2021 | WACV | ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer. | Ruchika Chavhan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri |
| 2020 | BMVC | SD-MTCNN: Self-Distilled Multi-Task CNN. | Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay P. Namboodiri |
| 2020 | CVPR | A Simplified Framework for Zero-shot Cross-Modal Sketch Data Retrieval. | Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu |
| 2020 | CVPR | AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding. | Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri |
| 2020 | CVPR | FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification. | Satyam Mohla, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri |
| 2020 | ECCV | Multi-source Open-Set Deep Adversarial Domain Adaptation. | Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri |
| 2020 | ICASSP | LEt-SNE: A Hybrid Approach to Data Embedding and Visualization Of Hyperspectral Imagery. | Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju |
| 2020 | ICIP | Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. | Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee |
| 2020 | ICIP | MT-UNET: A Novel U-Net Based Multi-Task Architecture For Visual Scene Understanding. | Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri |
| 2020 | ICPR | A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning. | Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri |
| 2020 | ICPR | PoseCVAE: Anomalous Human Activity Detection. | Yashswi Jain, Ashvini Kumar Sharma, Rajbabu Velmurugan, Biplab Banerjee |
| 2020 | ICPR | Distilling Spikes: Knowledge Distillation in Spiking Neural Networks. | Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee, Rajbabu Velmurugan |
| 2020 | IGARSS | Dimensionality Reduction Using 3D Residual Autoencoder for Hyperspectral Image Classification. | Shivam Pande, Biplab Banerjee |
| 2020 | IGARSS | Leaf Counting in Rice (Oryza Sativa L.) Using Object Detection: A Deep Learning Approach. | Mukesh Kumar Vishal, Biplab Banerjee, Rohit Saluja, Raju Dhandapani, Viswanathan Chinnusamy, Sudhir Kumar, Rabi Narayan Sahoo, Jagarlapudi Adinarayana |
| 2020 | SMC | Multimodal Noisy Segmentation based fragmented burn scars identification in Amazon Rainforest. | Satyam Mohla, Sidharth Mohla, Anupam Guha, Biplab Banerjee |
| 2019 | BMVC | Generalized Zero-shot Learning using Open Set Recognition. | Omkar Gune, Amit More, Biplab Banerjee, Subhasis Chaudhuri |
| 2019 | CVPR | Class Consistency Driven Unsupervised Deep Adversarial Domain Adaptation. | Sayan Rakshit, Ushasi Chaudhuri, Biplab Banerjee, Subhasis Chaudhuri |
| 2019 | IBPRIA | Class Reconstruction Driven Adversarial Domain Adaptation for Hyperspectral Image Classification. | Shivam Pande, Biplab Banerjee, Aleksandra Pizurica |
| 2019 | ICIAP | Single Image Super-Resolution for Optical Satellite Scenes Using Deep Deconvolutional Network. | Sumedh Pendurkar, Biplab Banerjee, Sudipan Saha, Francesca Bovolo |
| 2019 | ICIAP | Semantic Guided Deep Unsupervised Image Segmentation. | Sudipan Saha, Swathikiran Sudhakaran, Biplab Banerjee, Sumedh Pendurkar |
| 2019 | IGARSS | Assessment of Sentinel-1 and Sentinel-2 Satellite Imagery for Crop Classification in Indian Region During Kharif and Rabi Crop Cycles. | Jitendra Singh, Aniruddha Mahapatra, Saurav Basu, Biplab Banerjee |
| 2019 | IGARSS | Crop Phenology Classification Using A Representation Learning Network From Sentinel-1 SAR Data. | Subhadip Dey, Dipankar Mandal, Vineet Kumar, Biplab Banerjee, Juan M. Lopez-Sanchez, Heather McNairn, Avik Bhattacharya |
| 2018 | BMVC | Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning. | Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri |
| 2018 | ECCV | Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning. | Saurabh Kumar, Subhasis Chaudhuri, Biplab Banerjee, T. M. Feroz Ali |
| 2018 | ICIP | Class Specific Coders for Hyper-Spectral Image Classification. | Sanatan Sharma, Akashdeep Goel, Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri |
| 2018 | ICPR | Discriminative Latent Visual Space For Zero-Shot Object Classification. | Abhinaba Roy, Biplab Banerjee, Vittorio Murino |
| 2017 | ICASSP | Efficient pooling of image based CNN features for action recognition in videos. | Biplab Banerjee, Vittorio Murino |
| 2017 | ICIAP | Discriminative Dictionary Design for Action Classification in Still Images. | Abhinaba Roy, Biplab Banerjee, Vittorio Murino |
| 2017 | ICPRAM | A Novel Dictionary Learning based Multiple Instance Learning Approach to Action Recognition from Videos. | Abhinaba Roy, Biplab Banerjee, Vittorio Murino |
| 2016 | IGARSS | An unsupervised hidden Markov random field based segmentation of polarimetric SAR images. | Biplab Banerjee, Shaunak De, Surendar Manickam, Avik Bhattacharya |
| 2014 | IGARSS | An ant colony optimization based inter domain cluster mapping for domain adaptation in remote sensing. | Shakti Sharma, Krishna Mohan Buddhiraju, Biplab Banerjee |
| 2013 | ACIVS | A Novel Graph Based Clustering Technique for Hybrid Segmentation of Multi-spectral Remotely Sensed Images. | Biplab Banerjee, Pradeep Kumar Mishra, Surender Varma G., Krishna Mohan Buddhiraju |
| 2013 | IGARSS | Radon transform based edge detection for SAR imagery. | Surender Varma G., Biplab Banerjee, Arnab Muhuri, Avik Bhattacharya, Krishna Mohan Buddhiraju |
| 2012 | IGARSS | Satellite image segmentation: A novel adaptive mean-shift clustering based approach. | Biplab Banerjee, Surender Varma G., Krishna Mohan Buddhiraju |
| 2012 | IGARSS | Representation of desert sand dunes by surface orientations using Radon transform. | Surender Varma G., Biplab Banerjee, Krishna Mohan Buddhiraju |